NVIDIA Networking is seeking an exceptional candidate to work with world-class technologies in the domains of High-Speed Communication for our most sophisticated markets, customers and hyperscalers.. Our products encompass Ethernet and InfiniBand protocols, delivering a wide range of ground breaking networking, virtualization, and security services for cloud, complex compute, and AI workloads. As a Software Engineer in networking, you will play a crucial role in delivering high quality customer solutions for advanced networking use cases.

What you’ll be doing:

• Collaborate with multi-functional teams, including software developers, network engineers, architects, customer solutions engineers, and product managers to understand customer use cases and compose test strategies to ensure the successful delivery of high-quality software solutions.
• Carry out functional, integration, regression, and performance testing for software applications, firmware attributes, tools, and networking protocols aligning with designated user situations.
• Identify, debug, and report software defects, inconsistencies, and other quality issues.
• Develop and maintain test automation frameworks and scripts using Python and Bash.
• Work with planning and tracking systems to manage the release progress and build release indicators.
• Participate in code reviews, provide feedback, and suggest improvements to enhance the quality and maintainability of the software.
• Continuously monitor and evaluate the effectiveness of test processes and methodologies, recommending improvements as necessary.
• Stay up to date with industry best practices, new technologies, and emerging trends in software verification and QA.

What we need to see:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 2+ years of familiarity with Linux datacenter network engineering along with 1+ years of exposure to and comprehension of standard practices in software development.
• Familiarity with Linux datacenter network engineering along with exposure to and comprehension of standard practices in software development.
• Strong proficiency in Python/Bash scripting languages.
• In-depth knowledge of Linux operating systems, command-line tools and computer networking.
• Strong analytical and problem-solving skills, with the ability to debug and isolate software defects.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and collaboratively within a team environment.
• Outstanding attention to details and a dedication to delivering top-quality software solutions.

Ways to stand out from the crowd:

• Experience with network equipment (switches, network Cards) and understanding of network protocols (e.g., TCP/IP, Ethernet, RDMA).
• Experience with Linux Virtualization (KVM/QEMU), OVS, and network encapsulation technologies.
• Familiarity with Continuous Integration/Continuous Delivery (CI/CD) pipelines and tools (e.g., Jenkins, GitLab CI/CD).
• Background with performance testing and analysis tools (e.g., wireshark, tcpdump, perftest, iperf).
• Experience with system/network/CPU performance tuning in Linux OS environment.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We offer an outstanding opportunity for a Software Engineer to join our innovative, world-class team. Are you interested in a highly impactful role that contributes to the development of technology powering the most sophisticated data centers worldwide? Using your expertise in embedded platforms, operating systems, and software distribution, you will work with an ambitious, international development team to solve challenges in delivering top-tier platforms.

What you’ll be doing:

• Develop system software components such as processor firmware, boot-loaders, kernel drivers/modules, and user space applications and libraries
• Collaborate with hardware and product design teams to build software for sophisticated SOC platform designs
• Support global teams with various customer and internal DPU projects
• Address complex system-level optimization and resource utilization challenges
• Engage in all levels of the product development lifecycle, prioritizing clear requirements, software quality, and performance
• Work within a worldwide matrixed software development team, making a broad impact within our dynamic and technology-centric company

What we need to see:

• Bachelor's degree in Computer Science/Engineering or equivalent experience
• 2+ years of experience in developing software for embedded systems, with proficiency in C and Python
• Strong desire to understand the system software stack, focusing on software/hardware interactions, including platform firmware, device drivers, Linux kernel, and user-space application performance
• Knowledge of high-performance processor architecture, including CPU and cache coherency concepts, and hardware accelerators
• Strong engineering skills, including technical investigation, building, testing, and agile software development processes
• Excellent written and oral communication skills
• Familiarity with build environment tools such as gcc, git, github, make, bitbake, shell scripts, gerrit, and jenkins

Ways to stand out from the crowd:

• Experience with ARMv8 microarchitecture, ATF, and/or UEFI software is a strong plus
• Familiarity with multiple Linux distributions, with the ability to compare and contrast them
• Knowledge of secure boot flows and/or trusted computing environments

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 140,000 USD - 224,250 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Artificial intelligence is moving from passive assistance to autonomous, always-on agentic workflows. Our mission is to make this transition flawless, high-performing, and secure for millions of users worldwide.

We are looking for a Principal Engineer to serve as a key technical leader in deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs. You will lead the development to ensure open-source AI agents (like Nemoclaw and OpenClaw) run locally, safely, and efficiently on consumer PCs. By combining powerful local inference (Nemotron models) with robust privacy routers and sandboxed execution, you will help create the foundation of the desktop AI operating system.

What You Will Be Doing:

• Technical Architecture & Strategy: Act as the lead architect for deploying the NemoClaw framework natively on Windows environments. You will shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
• Systems-Level Sandboxing: Guide the engineering efforts to optimize the agent runtimes for Windows. You will ensure that autonomous agents operate within thorough, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress).
• Performance Optimization: Design the integration of NemoClaw with NVIDIA's hardware and middleware stack. You will work to minimize latency and memory footprint, ensuring local models (like Nemotron) run efficiently on GeForce GPUs using TensorRT and CUDA.
• Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community. Ensure our consumer hardware provides an excellent ecosystem for autonomous agents.
• Mentorship & Team Support: Foster a collaborative engineering culture by mentoring senior engineers, establishing best practices for AI agent deployment, and writing reliable, production-ready code.

What We Need to See:

• Experience: 15+ years of relevant professional software engineering experience, with at least 3+ years in a Principal, Staff, or Lead Architect role.
• Education: BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience).
• Systems & OS Knowledge: Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture.
• AI & GPU Infrastructure: Proven understanding of LLM inference pipelines (Ollama, Llamacpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware.
• Agentic Frameworks: Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, LangChain, AutoGPT) and an understanding of how multi-agent systems plan, act, and use tools.
• Programming Languages: Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration), Python (for AI/blueprint logic), and TypeScript (for agent plugins and tooling).
• Communication: Strong ability to translate sophisticated architectural concepts into clear technical documentation and communicate effectively across diverse engineering teams.

Ways to Stand Out from the crowd:

• Demonstrated experience contributing to open-source AI agent platforms or orchestration tools (especially OpenClaw).
• Extensive knowledge of the NVIDIA GeForce RTX architecture and its specific constraints and advantages for edge AI.
• Previous experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.
• Active engagement in the technical community (blogs, talks, whitepapers) focusing on the intersection of AI, security, and local compute.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people on the planet working for us. As part of our team, you will have the opportunity to influence the future with your vision and expertise. Are you creative? Are you driven not just by data or the need to know why, but yearn to ask, 'why not'? We want to hear from you.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you ready to help build a better future, solve some of the hardest real-world problems using large scale distributed computing, concurrent and highly available microservices architecture in the cloud?

NVIDIA is looking for a strong senior cloud software engineer who can think out of the box, see the big picture, and be diligent to help redefine where GPU Cloud computing is headed. This essential role will give you an unrivaled opportunity to craft and deliver a new class of GPU service platforms for cloud computing in the up-and-coming fields of Deep Learning and AI. You will lead us into a new era of computing while working with the team to learn how we can tackle challenges in the cloud.

What you'll be doing:

• Design, develop, and optimize cloud-based software solutions.
• Help drive the underlying technology stack and implementation methodology.
• Work closely with cross-functional teams to deliver high-quality cloud solutions.
• Mentor junior engineers, providing guidance on best practices and technical development.
• Identify and implement new technologies and methodologies to improve our cloud infrastructure and software development processes.
• Maintain a customer-centric approach by supporting, maintaining, and detailing software functionality.

What we need to see:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 8+ years of software development experience, with at least 5 years focused on cloud technologies.
• Strong knowledge and experience in OOP concepts and Build Patterns, with in-depth experience in crafting and composing complex, large-scale back-end systems.
• Strong knowledge of core Java - Collections API, Streams API, Concurrency, I/O.
• Proficiency in RDBMS and NoSQL databases such as Cassandra, DynamoDB, and Redis.
• Deep understanding of HTTP REST API, gRPC, security, and networking, along with a good grasp of API development influenced by UX/UI/CLI requirements.
• Ability to drive pragmatic technical discussions towards practical solutions that are clean, reusable, testable, and extensible.
• Dedication to collaborative development approaches, with the capability to impact daily operations across teams and collaborators.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues.
• Strong verbal and written communication abilities, with a demonstrated history of being a standout colleague.

Ways to stand out from the crowd:

• Operational experience with large-scale applications.
• Hold advanced cloud certifications (e.g., AWS Certified Solutions Architect – Professional).
• Demonstrate active participation in open source projects, showcasing your contributions to the community.
• Familiarity with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, and Splunk.
• Experience in designing, implementing, and managing streaming projects and technologies (e.g., Kafka, Spark, Flink)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are a world - class autonomous driving hardware and software development team. We have the best platform and have maintained a leading position in the field of artificial intelligence. Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers. We're looking for a Senior Software Triage Engineer with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer.

What you’ll be doing:

• Work with Product, Engineering, Model/SW Devs, In-car testing, Fleet teams on test request and triage planning, do live triage with accurate analysis and debugging steps, present top issues by end of day.
• Deep understanding on AD product definition and system specification, develop and maintain product performance with Top N based on triage analysis of in-car test and digital test.
• Work with collaborator teams to define test/triage target, requirements and process, supervise and improve triage efficiency and quality by steps.
• Automate product critical metric generation and robust evaluation to represent on the dashboard, provide triage target vision to support critical metric teams to understand the current state of our product/software and make priorities.
• Root cause and address the problems and drive them closure.

What we need to see:

• Bachelors or equivalent experience in Computer Science, Electrical Engineering, Mechanical Engineering or related fields
• 8+ proven experience on ADAS/AD vehicle test, digital offline test or triage data analysis
• Technical in nature and be able to zoom in and out of scope as needed from the lowest detail to high level vision of the job
• Prior experience in Vehicle/System Integration, SW components debug, AD vehicle testing at large scale
• Prior experience trouble-shooting and triage workflows including Replay and Simulation
• Excellent communication and presentation skills to report top issues
• Problem solver and “Buck stops with you”

Ways to stand out from the crowd:

• Strong in scripting/tools development.
• Expert reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world. This pioneering work demands vision, innovation, and the world's best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.

NVIDIA is seeking a Senior Manager of Site Reliability Engineering to lead and reshape how IT operations function at scale. This role goes beyond traditional service management to build AI-powered systems that enhance reliability, speed, and employee experience. We offer an outstanding opportunity to lead and refine Incident, Problem, and Change Management into an intelligent, automated operating model using observability, AI insights, and orchestration. This leader will apply strong operational execution with an SRE attitude, facilitating the move from reactive processes to predictive and autonomous operations.

What you’ll be doing

• Manage the full lifecycle of Incident, Problem, and CM as a 24×7 operational function, ensuring high reliability and minimal business disruption.
• Transform incident response by bringing to bear AI detection, correlation, and guided remediation, reducing time to detect, respond, and resolve.
• Build and scale intelligent incident workflows that integrate monitoring, telemetry, and service context to enable faster and more consistent response.
• Evolve Problem Management into a data-driven field, using AI and analytics to identify patterns, eliminate recurring issues, and drive systemic fixes.
• Modernize CM by introducing risk-aware, data-driven decisioning, improving change success rates, and reducing blast radius.
• Drive the adoption of observability as a foundation, ensuring service-level visibility, signal quality, and actionable insights across the IT ecosystem.
• Lead the development of automation and orchestration platforms that reduce manual effort across the outage lifecycle, including detection, triage, communication, and RCA or equivalent experience.
• Partner closely with engineering, infrastructure, and business teams to align operations with service reliability goals and SLOs.

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
• 5+ years of experience leading and managing global IT operations or service management teams, with growing scope and complexity.
• 12+ overall years of experience in Site Reliability Engineering, IT Service Management, with a focus on Incident Management, Problem Management, and Configuration Management
• Proven proficiency in Incident, Problem, and CM with a consistent record of delivering measurable gains in reliability and efficiency.
• Demonstrated experience applying AI, automation, or advanced analytics to improve operational outcomes.
• Solid understanding of observability, monitoring ecosystems, and modern reliability practices (SRE principles, SLOs, error budgets).
• Demonstrated ability to move organizations from process-heavy to technology-focused operating models.
• Strong leadership capability with experience building and scaling engineering-focused teams (SRE, SWE, or equivalent).
• Ability to deliver executive-level communication and insights, translating operational signals into clear, actionable narratives for leadership.
• Ability to build and lead a high-performing team of SREs and engineers, encouraging a culture of ownership, innovation, and continuous improvement.

Ways to stand out from the crowd:

• ITIL knowledge and/or certification
• Experience building or scaling AI-powered operational platforms.
• Ability to challenge traditional ITSM models and introduce innovative, scalable approaches.
• A mentality passionate about automation first, prevention over reaction, and systems over process.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture that make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how we can make a lasting impact on the world.

What you’ll be doing:

• Develop test strategy and use cases/scenarios for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines.
• Define test strategy and execution plan on vehicle platform.
• Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements.
• Close collaboration with different stakeholders to define the KPIs and evaluate the product progress by closing the loop with test data/results.
• Establish strong multi-functional relationships with collaborators across engineering, safety, and product teams.
• Scale and innovate the product ODDs by designing campaigns and roadmap.
• Lead L3/L4 vehicle integration and retrofitting, managing end-to-end processes to advance testing and validation schedules.
• Spearhead data triage and root cause analysis, driving issue resolution and generating comprehensive test reports.
• Promote and cultivate a strong systems engineering approach across the organization.

What we need to see:

• MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).
• 12+ years proven experience in ADAS, system analysis, data analysis, and software architecture.
• Experience driving the mass-production launch of autonomous driving products, including supervised FSD, urban NOA, or equivalent features.
• Proficiency in programming languages commonly used in AV development and testing (e.g., Python, C++) and familiarity with data query and analysis tools.
• Awareness of functional safety (ISO 26262), Safety of the Intended Functionality (SOTIF / ISO 21448), and V-model validation methodologies.
• Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.
• Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies.
• Deep understanding of autonomous vehicle sensor suites (LiDAR, Radar, Camera, Ultrasonic) and their specific failure modes, edge cases, and validation requirements.
• Provide technical mentorship to junior engineers and lead by example in establishing rigorous testing and validation standards.

Ways to Stand Out from the crowd:

• Experience contributing to a launched L3/L4 autonomous vehicle program.
• Hands-on experience with testing strategy for ADAS, large-scale datasets, data analytics workflows.
• Innovation by tools/out of the box thinking to resolve the problem statement.
• Passionate and self-motivated about autonomous technology.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people!

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

What You'll Be Doing:

• Construct, enhance, and sustain automated test frameworks and pipelines for server firmware and software, ensuring exceptionally high standards.
• Build and optimize detailed test automation to expand coverage, efficiency, and reliability, with the goal of seamless execution.
• Develop OS/System-Level Automation and Test Automation software/scripting/etc.
• Use AI-powered tools to enable and implement CI/CD pipelines, optimize test execution, and drive scalable automation across workflows.
• Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.
• Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.
• Introduce new automation to improve code coverage and overall product quality; pinpoint gaps and support reaching near-100% automation objectives.
• Analyze logs and failures that may span Hardware (HW), Software (SW), and Firmware (FW) and propose debug and mitigation strategies.

What We Need to See:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of hands-on experience in test development, firmware development, automation, or software engineering.
• Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface.
• Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security.
• Familiarity with Hardware/Software management (components/devices/peripherals, drivers, etc).
• OS: Administration Linux and Windows, Networking, Security, Imaging (Baremetal, VM, etc).
• Expertise in programming languages like Python, Bash, TCL, Perl, Powershell, JavaScript for tool development and automation.
• Comprehensive experience in server firmware and associated testing methods.
• Experience with AI coding tools (e.g., Cursor, Windsurf, GitHub Copilot, Antigravity) and integrating them with MCP to test workflows.
• Passion for quality, automation, and innovation in a fast-paced, dynamic environment.

Ways to Stand Out from the Crowd:

• Experience driving diagnostics across rack-level or cluster-level deployments.
• Virtualization, Windows Hyper-V, KVM, K8's, Containerization, etc.
• Background in cloud-scale infrastructure and partner engagement.
• Experience with PyTest or related testing frameworks.
• Experience in developing modern Software Verification Systems.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s HW team is seeking highly motivated Engineers to assist in developing and integrating AI capabilities into verification tasks. As part of this team, you will play a key role in improving verification flows and creating AI agents that boost efficiency across teams by deploying various verification techniques. You will build and maintain the core infrastructure needed to run these agents in production, ensuring smooth and effective performance. If you are passionate about the latest research and innovative technologies crafting LLM and generative AI, this role and team offer an exciting chance to lead modern advancements.

What you'll be doing:

• Play a key role in design, development, and deployment of high-performance agents’ frameworks and tools.
• Develop AI agents that process sizable codebases and bypass failures to support coding and debugging efforts.
• Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs.
• Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
• Stay ahead by engaging with the latest advancements in machine learning and AI to build brand new solutions.
• Integrate technology-based optimizations into existing tools and flows.
• Lead with purpose and maintain high-quality engineering practices that encourage others to achieve excellence.

What we need to see:

• BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics.
• 5+ years of relevant experience.
• Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, timely engineering, knowledge graphs, etc.
• Solid understanding of GPU/CPU architectures and builds.
• Strong analytical skills to solve complex problems.
• Knowledge of HW verification methodologies and techniques.
• Hands-on experience with Verilog/System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly.
• Excellent command of scripting using Python.
• Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.

Ways to stand out from the crowd:

• Proven track record of integrating AI into hardware verification processes.
• Experience with innovative generative AI technologies.
• Demonstrated leadership in cross-functional team environments.
• Strong problem-solving abilities.
• Outstanding skills in optimizing AI algorithms for performance.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human creativity and intelligence. Are you ready to help us change the world?

Our team takes pride in building a wide range of products — GPU PCIe cards, SHIELD consumer devices, Jetson embedded platforms, DRIVE autonomous vehicle technologies, modular data center architectures, and more. In this role, you will have the opportunity to help bring ground-breaking technologies to life!

What you'll be doing:

• Lead go-to-market efforts for a given product(s), aligning the team’s efforts throughout the product lifecycle, including ideation, prototyping, validation, manufacturing, launch, and sustaining
• Drive priorities to ensure product(s) achieve schedule/scope/budget targets, proactively elevate risks and obstacles
• Work with matrixed team of partners from hardware, software, marketing, operations, and other teams to close gaps and resolve issues
• Communicate product status to internal (including executive) teams in NVIDIA and JDM/ODM partners from initial requirement definition through production delivery.
• Provide clear leadership and instruction to JDM and ODM partners to align with NVIDIA expectation and monitor the progress to release the product to the market
• Continuously improve product quality by maintaining pulse on customer issues and feedback after launch, as well as by managing internal beta testing execution and integration of user feedback into product roadmap

What we need to see:

• BS degree or greater in an engineering field (or equivalent experience)
• 5+ yrs of working experience
• Hands on experience with hardware product development
• Strong project/program/product management fundamentals
• Culture of continuous learning, ongoing process improvement, and a first-principles approach to problem-solving
• Experience in influencing decisions and leading teams in a matrix environment, comfortable with ambiguity
• Excellent communication and presentation abilities

Ways to stand out from the crowd:

• Successfully delivering products from concept through launch
• Deep understanding of server product development processes, including fundamentals of hardware design, firmware development, system validation and project management skills
• Proven understanding of NPI processes, including working with operations on manufacturing, quality, RMA, and EOL
• Master’s degree in engineering or business is a bonus
• PM Certification/training a plus, not required

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics. We have a real passion for perfection and for building products that excite the imagination. If you share these values and have the experience and skills to participate, we would love to have you join our team.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Accelerated Computing Architect!

NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.

What you'll be doing:

• Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
• Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
• Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
• Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
• Diving into accelerated computing applications to facilitate software-hardware co-design.
• Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

What we need to see:

• An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
• 6+ years of relevant work experience
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• A passion for performance optimization.
• Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.
• Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms.  Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.
• Familiarity with Python is a plus.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an experienced Software Manager to lead a team developing the NVLINK switch Operation System (OS) and firmware. In this role you will be playing a critical role in developing our OS and firmware which are critical to NVIDIA's next generation networking technologies, and enable large-scale deployment in High-Performance Computing (HPC) data centers. Are you passionate about working on innovative technologies for next gen HPC? Then we want to hear from you!

What you'll be doing:

• Managing and leading a high impact team of software and firmware developers
• Serving as the primary technical point of contact for strategic customers, leading major customer integrations with our NVLINK technology
• Owning development of major features end-to-end
• Being actively hands-on (50%) in OS software coding and debugging
• Collaborating with off-shore teams

What we need to see:

• Bachelors degree in Computer Science or similar technical field or equivalent experience
• 8+ overall years of overall technical experience; 3+ years of experience managing a team
• Python/C/C++ programming skills
• Experience leading teams in developing software/firmware, and mentoring
• Ability to self-teach and to learn quickly

Ways to stand out from the crowd:

• Linux & Networking experience
• Working face to face with customers
• Masters degree
• Excellent social and written communication skills
• Building AI flows, agents, for enhancing the development efficiency

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an outstanding Senior Solutions Architect to contribute to the development of forward-thinking simulation and AI platforms. Collaborate with internal and external teams to invent pioneering solutions for 3D Neural Reconstruction, Generative Video models, Omniverse. You will drive technical innovation in simulation, 3D reconstruction, generative models, and inference optimization, enabling the next generation of autonomous simulation.

We are looking for an outstanding engineer to contribute to the progress of all aspects of AI platform development. In this role, you will apply both AI and systems knowledge and technical leadership to scale development of NVIDIA's AI platform efforts. We seek a creative, self-starting and highly productive engineering professional to help us invent the future of computing. This is a role for a creative innovator who revels in rolling up their sleeves to solve important problems!

*What you’ll be doing:*

• Actively prototyping to develop deep expertise in NVIDIA Cosmos, Omniverse Platforms, NuRec and related technologies (APIs, USD, NIMs, Blueprints) through hands-on technical integration.
• Implement intricate technical solutions with partners—defining objectives, architecture, landmarks, and delivery plans while contributing code samples, architecture diagrams, and hands-on engineering support.
• Provide technical enablement resources like workshops, reference architectures, and integration guides to speed up adoption and standard processes while collaborating with engineering and leadership teams across partner organizations to identify goals, resolve technical challenges, and align on architecture and solution direction.
• Advocate for partner technical needs within NVIDIA—providing actionable feedback to influence product roadmaps and future technology direction while supporting product launches and go-to-market activities, ensuring seamless integration and technical excellence in customer-facing materials.
• Guide research and implementation in 3D reconstruction, integrating innovations like Gaussian splatting into autonomous simulation pipelines.

*What we need to see:*

• Bachelor’s Degree or Master’s in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
• 8+ years of hands-on experience in 3D reconstruction or relevant domains, with emphasis on autonomous systems, simulation, or generative AI.
• Expertise in computer vision, graphics, simulation and 3D reconstruction technologies.
• Programming expertise in Python and C++, with solid software design and debugging experience on Linux.
• Hands-on experience with DevOps tools (GitLab, Docker, Kubernetes).
• Excellent communication, collaboration, and presentation skills with the ability to engage technical and non-technical audiences.
• Highly motivated and passionate about driving technical innovation and sharing knowledge!

*Ways to stand out from the crowd:*

• Hands-on experience with LiDAR, radar, camera, IMU, and other sensor modalities.
• Familiarity with NVIDIA Cosmos, NuRec, Isaac Sim, Isaac Lab, and Omniverse for physical AI simulation and synthetic data generation.
• CUDA programming experience, model quantization, and inference acceleration.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust eco-system of other OSS frameworks. As a Product Manager for AI Platform Recommender Systems, you will be responsible for building products for enabling frontier RecSys and Generative Recommendation Models on Nvidia systems.

As NVIDIA Product Managers, our goal is to enable researchers and operators to be successful on the NVIDIA Platform, and push the boundaries of what is possible in their research and research-to-production! Generative Recommender models are gaining momentum amongst our customers and partners. As Product Managers, we are the champions inside NVIDIA for frontier model builders looking to push the bounds of scale for current and emerging modeling paradigms on GPUs. We work directly with customers to identify key improvements, create roadmaps, and stay alert on the training/post training landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing great products for our users. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great. Does that sounds familiar? If so, we would love to hear from you!

What you'll be doing:

• Create and optimize pre-training/inference and post-training frameworks for RecSys and Generative Recommender researchers and production model builders
• Develop product strategy, roadmaps, and go-to-market plans
• Collaborate with internal and external customers to build product-based roadmaps for the E2E ML lifecycle
• Work with leadership to align with and drive company strategy

What we need to see:

• Experience with design and scaling of training/inference post training and optimization software (Torchtitan, FSDP)
• Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, inference, and software development and delivery
• Experience with large scale distributed systems
• BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
• 10+ years of technical product management, or similar, experience at a technology company
• Strong communication and interpersonal skills

Ways to Stand Out from the crowd:

• Experience leading GR systems - GEM, TIGER
• Working on Open Source & Github-first developer products with deep customer interactions
• Knowledge of GPU architecture, HW/SW co-design, and performance profiling

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for passionate technologists with software and semiconductor manufacturing background and EDA/WFE domain expertise to engage developers in the semiconductor manufacturing community. In this developer enablement role, you will drive NVIDIA platform adoption with ISVs and equipment manufacturers. You'll define and deliver strategic partnerships, lead fruitful technical collaborations, provide first-line technical expertise, and guide NVIDIA's product strategy as a representative of developers in the semiconductor ecosystem.

The Industrial Engineering organization is a strong, growing, and visible group both inside and outside of NVIDIA in this exciting area to drive strategy. We are looking for a self-starting leader to continue to grow this area. Do you thrive on technical engagement? Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!

What you'll be doing:

• Create fruitful technical engagements across the semiconductor design and manufacturing ecosystem and lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers.
• Inform NVIDIA's strategy for semiconductor manufacturers and ISVs by working with diverse teams including Product, Engineering, Marketing, Applied Research, etc.
• Use your technical expertise to discover high impact problems NVIDIA can uniquely solve that create new market paradigms.
• Drive early adoption of new products and support launch and go-to-market activities.
• Activate relationships with higher education and research and speak at relevant scientific, technical and industry conferences.

What We Need To See:

• 12+ overall years of experience with semiconductor designers/manufacturers or hardware tool manufacturers, e.g. , ASML, AMAT, KLA, Lam Research, Samsung, SK Hynix, TSMC, Qualcomm, Intel, etc. with 5+ years people management experience.
• MS/PhD in Electrical Engineering, Computer Science or Engineering or equivalent experience.
• A track record of leading/defining and delivering impactful technical engagements, managing technical and business alliances across multiple partner groups, and working with peer teams to achieve objectives.
• World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Ways To Stand Out From The Crowd:

• Deep understanding of advanced semiconductor technology, device and process development, fab operations, user experience with how to use foundry PDK to develop a product.
• Developer experience creating tools and/or solutions for EDA, high-performance computing, applied machine learning, or deep learning.
• Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.
• Experience with NVIDIA products and SDKs: CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are building the software infrastructure for the next era of scientific discovery. At NVIDIA, we believe AI will transform how new chemicals and materials are discovered. We are developing the software tools to make that possible! NVIDIA ALCHEMI is a key pillar of this stack, and this role will help shape ALCHEMI and the broader software ecosystem around it. We are looking for a technical leader at the frontier of AI, simulation, and chemistry. You will turn sophisticated research into software that scientists use for real discovery. You will work across research, engineering, product, and strategic partnerships. You will help define how NVIDIA builds software for chemistry and materials science.

What you’ll be doing:

• Serve as NVIDIA's technical SME, engaging with internal and external stakeholders, customers, users and product teams to design developer tools, APIs, and workflows for chemistry and materials science.
• Work across organizations to shape and prioritize features for NVIDIA ALCHEMI and related software efforts.
• Translate advances in ML interatomic potentials, generative modeling, and quantum chemistry into product direction.
• Bring together inputs from researchers, partners, and internal teams to guide priorities.
• Represent NVIDIA at leading scientific conferences, workshops, and industry events.

What we need to see:

• PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience.
• 8+ years building AI or machine learning software for chemistry or materials applications.
• Strong experience with GPU-accelerated computing and modern ML frameworks.
• Deep knowledge of machine learning interatomic potentials, generative modeling, and quantum chemistry workflows.
• Experience architecting scientific software, developer platforms, or technical products.
• Strong communication skills across technical and non-technical audiences.

Ways to stand out from the crowd:

• High-impact publications in AI for chemistry, molecular modeling, or materials discovery.
• Experience with CUDA, parallel programming, or performance-focused software development.
• Experience leading software or product development in a fast paced technical environment.
• Contributions to open-source software for simulation, chemistry, or materials science.

We work on problems that matter, with people who care deeply about technical excellence. This role offers the chance to build a critical software stack for chemistry and materials science supported by advanced computing. You will contribute to crafting tools that support researchers, partners, and developers across the ecosystem. It is an opportunity to build technology that can accelerate discovery at global scale!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Move the needle in testing NVIDIA's DriveOS automotive operating system! As a highly skilled and motivated senior software developer you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system.

What you'll be doing:

You will have a unique opportunity to make of pushing the boundaries and ensuring the perfect performance of NVIDIA's DriveOS. Your contributions will directly impact the verification strategy for DriveOS and its quality. Priorities do often change in a fast-paced environment like ours. Some of the exciting things you will work on are:

• Developing new and extending existing test strategies to guarantee the highest level of quality from both functional and performance perspectives ensuring that DriveOS meets the standards expected from a world-class product.
• Designing and developing software that reliably automates the verification of all DriveOS components playing a crucial role in streamlining our testing processes.
• Collaborating with multiple development, verification, and customer-facing teams to gain a comprehensive understanding of DriveOS as a product and its real-world applications facilitating continuous improvement.
• Analyzing and root-causing issues down to the code level, leading the defect fixing process, and providing effective fixes to address challenges with efficiency and precision.

What we need to see:

To excel in this role, we are looking for candidates with the following qualifications:

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience.
• 5+ years of relevant work experience in software development. Your consistent track record in developing large-scale, logical code from scratch in Python or C++ will be instrumental in driving our automation efforts.
• Experience in using AI coding assistants to improve coding efficiency and correctness
• Demonstrated experience working with embedded systems and automotive sensors like cameras.
• Proficiency in Linux and Unix-like systems will be critical for ensuring compatibility and seamless integration.
• Experience using source control systems such as Git and Perforce facilitating efficient teamwork and version control.
• Strong ability to effectively communicate and collaborate with diverse teams to achieve shared goals.
• Strong analytical skills and a keen eye for detail to identify and analyze complex issues and proactively resolve potential challenges

Ways to stand out from the crowd:

• Experience working with requirements and task management systems like Jama, Doors or Jira
• Hands-on experience in building LLM-enhanced automation pipelines
• Experience in testing safety-relevant systems following the ISO26262 recommendations, especially for the hardware-software-interface

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for an Offensive Hardware Security Researcher!

NVIDIA is seeking an outstanding Offensive Hardware Security Researcher to work on a wide variety of security research challenges. Do you excel at thinking like an attacker, identifying hardware weaknesses, creating tools and automation for hardware vulnerability research? Join our team to hack the future, fortify the silicon frontier, and shape the destiny of groundbreaking chip technology!

What you will be doing:

• Research vulnerabilities on cutting-edge SoC and GPU designs
• Develop and use cutting-edge security tools and techniques
• Guide the continuous integration of latest mitigations into our security architecture
• Research and exploit side-channel, fault, and advanced physical attacks

What we need to see:

• BS/BA degree in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience
• 6+ years of work experience in a Security related field
• Experience with ARM/RISCV assembly, Verilog and low-level C programming
• Understanding of large SoC and ASIC architecture and design
• Experience with security code reviews of complex firmware projects and defensive coding best practices (SDL, threat modeling)
• Ability to work collaboratively and remotely with multiple experts to accomplish complex goals

• Expertise in two of more of the following fields:

• Expertise in side-channel analysis and mitigation for cryptographic primitives

• TEE (TrustZone, SE), Confidential Computing, and/or microarchitectural attacks
• Proficiency with Symbolic Execution and/or fuzzing tools
• JTAG, debugging, binary instrumentation frameworks, ChipWhisperer
• Reverse-engineering (IDA Pro, Ghidra)
• Practical experience in utilizing machine learning techniques for performing side-channel attacks
• Track record of advancing offensive security research field through vulnerability discoveries, research publications, and/or developing security tools

Ways to stand out from the crowd:

• Understanding of pre-silicon hardware design and testing
• Knowledge of key hardware security architecture components, and their implementation in complex SoC designs
• Strong background in computer architecture, especially GPU or AI accelerator design

Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for Senior Software Development Engineer in Test to join our Compute CUDA Quality Assurance team for NVIDIA's Enterprise SWQA release schedules. Are you passionate about automation development, test and validation infrastructure? Do you excel using AI tools to aid in solving complex issues? We'd love to have your skills on the team!

As an engineer on this automation team, you will automate testbench independent test specification and execution workflows for worldwide chip validation teams running tests on silicon along with automation framework/infrastructure development. You will develop a system operating at large scale, running hundreds of tests per day in distributed heterogeneous servers with NVIDIA's GPUs connect to verify multiple designs/POR in many configurations those are sitting in automation farm or in cloud. You will continuously innovate and develop scalable, reliable, high performance systems and tools to enable the next generation of chips.

What you’ll be doing:

• Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, Nvidia turnkey systems and OEM systems.
• Develop a robust test infrastructure incorporating advanced AI tools to significantly enhance our testing capabilities and streamlining operations for more efficient and accurate results.
• Improve code coverage, elevating the overall quality of our codebase and reliability of our testing processes and develop roadmaps prioritizing software development schedule for full life-cycle of tool development, test, and deployment
• Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of those features in timely manner
• Build and operate key pieces of a complete infrastructure for automation framework development, as well as, lead and develop automation support and participate in automation of manual test cases, working closely with automation infrastructure
• Focus on an efficient customer experience by improving both usability and ease to attain optimal performance
• Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features.
• Work in a dynamic agile software development team with very high production quality standards.

What we need to see:

• BS or MS in Engineering (or equivalent experience) with 5+ years testing SW development cycle.
• Solid understanding of embedded systems, Linux, Python, C and C++.
• Experience with cloud infrastructure is a big plus, particularly hands-on work with designing, deploying, and maintaining scalable systems on major cloud platforms. Familiarity with cloud-native architectures, automation, monitoring, security guidelines, and performance optimization in distributed environments will be highly valued.
• Proven experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage.
• Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined.
• Solid understanding in QA methodology and pay attention to details.
• Knowledge in Cluster and cluster management
• Experience in developing test strategies, high quality test plans and test execution
• Proficient in building test setups and fine tuning in HW and SW along with hardware and software components that enable cloud computing services.

Ways to stand out from the crowd:

• Experience with cloud infrastructure is a big plus
• Apply AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance
• Experience with Configuration and deployment management (Ansible), Containers (Docker) and Virtualization infrastructure software (Xen, KVM)
• Good understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson).
• Background with parallel programming, ideally CUDA C/C++ and OpenACC

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking an exceptional Senior Financial Analyst to join the Engineering FP&A Organization based out of our Santa Clara campus. The role requires high-level analytical proficiency, strong problem-solving skills, and excellent communication skills. As an integral member of the Finance team, our organization’s overarching responsibilities are to provide the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decision-making at all levels of the Company and improving our financial performance. It is a visible role within Finance for an energetic individual who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment.

What you’ll be doing:

• Support financial planning, budgeting, and forecasting for R&D system development spend, including operating expenses and capital expenditures.
• Serve as a core finance partner to Engineering and Operations on the New Product Introduction (NPI) roadmap, owning forecasts for new systems, products, and associated engineering investments.
• Leverage AI‑enabled tools such as Claude, Codex, or Cursor to accelerate financial analysis, automate recurring reporting workflows, and enhance forecast accuracy across R&D and system development spend.
• Build and deliver dynamic dashboards and management reporting using data visualization tools (e.g., Tableau, Power BI) to provide timely insights into financial performance.
• Apply AI‑assisted analytics to identify cost drivers, anomalies, and emerging risks across OPEX, CAPEX, and NRE, translating outputs into clear, executive‑ready insights.
• Perform detailed variance and driver analysis across OPEX and CAPEX, synthesizing complex data into clear narratives for senior leadership.
• Evaluate NRE and system development spend to identify trends, risks, and opportunities for optimization, and provide actionable recommendations to business partners.

What we need to see:

• Bachelor’s degree in Finance, Engineering, Data Science, or a related field; MBA or an advanced degree or equivalent experience.
• 8+ years of progressive experience in FP&A, ideally supporting R&D, hardware, systems, or manufacturing organizations in a global, high‑tech environment.
• Experience using AI‑assisted analysis and automation to accelerate FP&A workflows to increase throughput and decision velocity in fast paced environments.
• Strong grounding in financial modeling, including BOM structures, NRE (Non‑Recurring Engineering) investments, and operating expense forecasting.
• Working knowledge of data center systems, server architecture, and hardware development lifecycles.
• Proven track record to synthesize large datasets using tools such as SQL, Tableau, or Power BI and translate insights into executive‑level reporting.
• Demonstrated strength partnering cross‑functionally with Engineering and Operations to align technical roadmaps with financial and governance processes.

Ways to stand out from the crowd:

• Experience in semiconductors, hardware, or manufacturing within the technology industry.
• Intellectual curiosity and a genuine interest in science and technology products and problem‑solving.
• Strong understanding of technology and market dynamics relevant to NVIDIA’s products and R&D investments.
• Proven ability to experiment with and scale AI driven finance workflows, including automated variance analysis, narrative generation, or self‑service reporting.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you passionate about shaping the future of data center CPU platforms? NVIDIA is looking for a Solutions Architect experienced in Arm-based server CPUs to join our dynamic team in Santa Clara, CA. Act as the technical liaison for NVIDIA’s CPU portfolio with cloud partners, encouraging adoption and improving next-generation cloud instances and services. This role offers a chance to be part of a team that values innovation and collaboration while advancing performance and scalability benchmarks.

What you’ll be doing:

As an expert on our data center CPU portfolio, you will work alongside NVIDIA Cloud Partners (NCPs) as we develop and run hosted AI services. Together, we will architect and validate multi-tenant cloud infrastructure based on ARM server CPUs, actively influencing reference architectures, our CPU roadmap, and deployment guides to ensure top-tier performance, scalability, and multi-tenancy.

• Workload Migration & Ecosystem Readiness: We will guide customers through the porting and optimization of x86 workloads to ARM while collaborating with ISVs and open-source communities to guarantee application readiness across our entire software stack.
• Performance Tuning & Issue Resolution: We will implement rigorous performance analysis and benchmarking of key cloud workloads, partnering closely with our internal engineering teams to solve complex scalability and reliability issues across the CPU, memory, and networking levels.
• Technical Evangelism & Content Creation: We need you to prepare highly sought-after technical content and present at customer build reviews, executive briefings, and industry events to help us clearly articulate the technical and business value of our NVIDIA CPUs.

What we need to see:

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience in the field.
• 8+ years in solution architecture, systems engineering, performance engineering, or similar technical customer-facing role.
• Solid understanding of server CPU architecture and microarchitecture.
• Hands-on experience with Arm-based server processors and the Arm software ecosystem.
• Experience migrating applications from x86 or other ARM platforms, resolving ISA compatibility issues, recompiling dependencies, and applying targeted optimizations to improve performance on the target device.
• Skill in constructing credible head-to-head comparisons against competing silicon by controlling for process node, memory configuration, and compiler flags to produce publishable performance claims.
• Measuring real-world efficiency and thermal performance to prove superior TCO advantages over competitors.
• Deep familiarity with Linux on Arm, including kernel parameters, packaging, and system bring-up for data center platforms.

Ways to stand out from the crowd:

• Hands-on experience configuring bootloaders, kernel drivers, and OS distributions (Linux, RTOS) to rapidly stand up a working software environment on production ARM hardware.
• Practical experience operating production workloads on major public cloud providers, supported by a solid grasp of modern data center architectures and the interaction between CPUs, GPUs, and networking.
• Hand-on experience with benchmark suites (SPEC CPU, MLPerf, custom traces) to characterize customer workloads and produce compelling performance comparisons.
• Strong proficiency in C/C++ and at least one scripting language for tooling, automation, and performance experiments.
• Superb communication and presentation skills, with the ability to engage both deep technical and executive audiences.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join NVIDIA as a Solution Architect on the Infrastructure Specialists team. Help redefine deep learning, data analytics, and power data centers worldwide using NVIDIA products. Collaborate on building the world's largest and fastest AI Factories and supercomputers. We are seeking a candidate who can lead the planning and deployment of large scale AI data centers, focusing on infrastructure buildout including power and cooling systems, telemetry and control systems, and large scale design, construction and delivery processes.

In this role, your main focus will be to support customers in the areas of planning, design, construction, and deployment of large scale AI factories. You will be a part of the team building capabilities to design, construct and deliver large AI factories based on NVIDIA's reference designs. This includes architectural systems, power distribution, cooling systems, integration of telemetry and control systems, and all other physical infrastructure. Collaboration with product and engineering teams, customers, and the partner/provider ecosystem will be crucial to achieving successful deployments.

What you will be doing:

• NVIS Data Center deployment planning: Collaborate with product and engineering teams to understand NVIDIA’s reference architectures for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture. Support customers and partners in quickly implementing this architecture into advanced and reliable data center designs.
• Building process capabilities: Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL).
• Design and construction oversight: Review and appraise customers' and partners' infrastructure design plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. Deliver guidance, expertise and suggestions to optimize performance, scalability, and cost-effectiveness.
• Ensure alignment with our customers and partners on reference architecture, guidelines and processes to make their deployments successful.
• Assess the operational efficiency, reliability, and readiness of data center infrastructure components before deploying AI/HPC clusters. Develop and implement comprehensive audit plans and conduct pre-deployment audits to identify potential issues, risks, and areas for improvement.
• Partner and vendor ecosystem: Develop and sustain a strong ecosystem of manufacturers, service providers and partners as needed, to ensure customers can deploy NVIDIA solutions rapidly and reliably as well as be the key liaison for customers and partners on matters of data center infrastructure.
• Act as the NVIS mentor providing guidance, mentorship, and support to ensure the team's success in their respective roles.
• Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components.
• Continuous Improvement: Drive continuous improvement initiatives to improve data center infrastructure reliability, resilience, and sustainability. Find opportunities to streamline processes, automate repetitive tasks, and apply new technologies to optimize infrastructure operations.
• Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the flawless integration of data center infrastructure solutions. Serve as a domain authority and point of contact for infrastructure-related inquiries and critical issues.

What we need to see:

• Bachelor's degree or equivalent experience in Engineering, or a related field. Advanced degree or equivalent experience or relevant certifications are desirable.
• We need an expert professional with a background in multiple aspects of infrastructure delivery, preferably of hyperscale data centers. The ideal candidate will have at least 12 years of experience, preferably in sophisticated, high-density AI/HPC data centers.
• Proven experience in data center engineering, operations, deployment and/or infrastructure management roles, focusing on large-scale data center deployments.
• Strong technical knowledge and experience in data center systems and processes- power distribution, liquid cooling, rack/server chassis, and cabling.
• Proven technical and project leadership under fluid situations, and ability to adapt to change.
• Strong communication at both ground execution as well as executive levels, internally and with customers
• Excellent analytical, problem-solving, communication and decision-making skills, keen attention to detail, and a dedication to quality.
• Strong record of excellent partnership and putting the mission's success first.
• Coordination & Time Management – proficient at planning, scheduling, and coordinating tasks related to the job to accomplish objectives within or ahead of designated time frames.
• Able to travel (25%).

Way to stand out from the crowd:

• Experience in hyperscale data center deployment, operations process, safety, and security measures.
• Solid understanding of the whole data center Infrastructure stack.
• Outstanding social skills.

NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking outstanding Solutions Architects to assist and support OEM customers in building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Enterprise AI solutions. You should be comfortable working in a multifaceted environment and have experience with the storage and networking demands for Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!

What You Will Be Doing:

• Closely coordinate with the OEM Global Account Managers (GAMs) in order to work on prioritized customer platforms, software stacks and solutions that map to critical business priorities
• Work with OEM partners to architect enterprise grade storage solutions with a focus on scalable performance and data durability
• Training OEM technologists and field specialists on AI storage and networking solution offerings from NVIDIA.
• Work as a key member of our OEM team as a technical authority on NVIDIA products
• Some travel to conferences and customers may be required (20%)

What We Need To See:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 8+ Years proven experience as a solution architect or technical presales role
• Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions
• Hands-on experience with high-performance storage systems: Lustre, GPFS, Ceph, distributed object storage, enterprise SAN/NAS
• Excellent interpersonal skills, including the ability to explain complex technical topics to non-expert
• Proven track record exemplifying how you have assisted customers from bring-up, through testing, through GTM readiness

Ways To Stand Out From The Crowd:

• Experience crafting and operating RDMA-accelerated HPC/AI clusters at scale, with hands-on expertise with network topologies and large-scale switch/router deployments
• Background in jointly developing storage networks for AI/ML training pipelines, large-scale inference, and agentic AI workflows.
• Proficiency in hybrid cloud storage and networking solutions (like Kubernetes CSI, cloud-native fabrics, and hybrid on-prem/cloud setups).
• Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM
• Experience with large-scale cluster bring-up and operation.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join our team at NVIDIA and help bring AI solutions to our largest customers. We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale. As a member of our Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support based on our product strategy. Come join us!

What you’ll be doing:

• Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
• Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
• Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
• Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
• Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
• Analyzing and developing solutions for customer performance issues for both AI and systems performance.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 8+ years of engineering (performance/system/solution) experience.
• Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
• Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
• Effective engineering program management with the capability of balancing multiple tasks.
• Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.

Ways to stand out from the crowd:

• Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
• Familiarity with deep learning architectures and the latest LLM developments.
• Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
• Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
• Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

For over 25 years, NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA is broadly recognized as one of the technology world’s most desirable employers with some of the most innovative engineers and technologists. We are seeking a Functional Safety Manager to guide safety efforts for developing the next generation of safe, AI-powered autonomous driving systems. In this role, you will focus on solving hard cross-disciplinary problems across AI, computer vision, software architecture, planning and control, software / hardware interactions, and be part of a team that covers the entire autonomous driving system and coordinates development teams across NVIDIA.

What you will be doing:

• Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 standards, with timely safety case completion
• Promoting a positive safety culture and deployment of organizational processes by providing training, mentoring and tailoring
• Acting as the primary point of contact for all safety related concerns during development and actively working to resolve identified issues
• Collaborating with OEM and Tier1 partners to ensure that all aspects of the joint safety engineering development are carried out on time and according to plan

What we need to see:

• Bachelor’s degree (BS) in an engineering discipline or equivalent experience; advanced degree preferred
• At least 8 years of proven experience in automotive development and integration for safety related systems
• Possess a deep understanding of functional safety and development processes needed to follow the ISO 26262 functional safety standard
• A working knowledge of quality systems and tools, such as Automotive SPICE and IATF 16949
• Application of system safety methodologies & practices, including FMEA, FTA, FMEDA, CPA
• Excellent written and verbal communication skills
• We look for strong engineers who thrive working in teams, and working across multiple domains

Ways to stand out from the crowd:

• Experience leading safety management efforts for production of Advanced Driver Assistance Systems (ADAS) or autonomous vehicle systems
• Experience in the application of ISO 21488 (SOTIF) in combination with functional safety
• Solid understanding of V&V of complex safety-critical system
• Software development and/or machine learning experience.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation.

What you will be doing:

• Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
• Be the domain expert with customers during planning calls through implementation.
• Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• 8+ years providing in-depth support and deployment services; solving problems for hardware and software products.
• Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring).
• Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).
• Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
• Scripting proficiency (Bash, Python, Ansible, etc.).
• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
• Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
• Experience with schedulers such as SLURM, LSF, UGE, etc.
• An ability to travel to customer sites within the United States up to 20% of the time.
• Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

Ways to stand out from crowd:

• InfiniBand experience.
• Experience with GPU (Graphics Processing Unit) focused hardware/software.
• Experience with MPI (Message Passing Interface).
• Storage technologies such as Lustre or GPFS.
• Familiarity with OEM GPU platforms

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Senior Software Engineer for our Autonomous Vehicle organization. The team combines state-of-the-art Machine Learning and Computer Vision techniques to run offline perception tasks. We seek the best engineers who are passionate about solving problems for self-driving cars and have a strong background in software development. We build platforms, web services, and tools to ingest terabytes of sensor data through a complex pipeline, using advanced deep learning models and mathematical algorithms to produce the highest-quality detection features for self-driving cars. Are you interested in building future technologies to serve millions of self-driving cars across the globe? If so, join us!

What You'll Be Doing:

• Advance Deep Learning components for both training and inference stages
• Developing tools to generate and handle big training datasets for different Deep Learning models
• Developing computer vision algorithms for Deep Learning data preprocessing and post-processing
• Integrating Deep Learning algorithms into realistic large-scale offline perception pipelines
• Collaborating with other engineering teams within NVIDIA

What We Need To See:

• A deep understanding of and experience applying modern Machine Learning techniques to real-world applications
• MS/PhD Computer science or related areas (or equivalent experience)
• 8+ years of industry experience
• Strong mathematical foundation, such as Geometry, Linear Algebra, and Numerical Analysis
• Proficient in C++ and Python, with ability to write clean maintainable code.
• A self-motivated, collaborative and problem-solving mindset
• Strive to learn, solve, and own hard problems end to end
• Ability to work with multiple teams

Ways To Stand Out From The Crowd:

• Previous experience with HD map generation.
• Strive to learn, solve, and own hard problems end to end.
• Good communication and analytical skills.
• Great team player but an independent self starter

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Solution Architect to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers. In this role, your focus will be to provide deep hands-on networking expertise with solution build, automation, and customer-facing consulting to deploy large-scale AI factories. As Solution Architects on the NVIDIA Partner Network team, we are actively helping NVIDIA AI Factory solutions bring the benefits of large scale AI to customers through our partners. We work closely with partners to address unsolved problems in the industry and help to deploy and operationalize AI solutions at scale!

What you will be doing:

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking solutions
• Working on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
• Crafting and evaluating DevOps automation scripts for network operations, crafting architectures, and developing switch fabric configurations.
• Implementing tasks related to network configuration and validation for data centers. Creating Methods of Procedure and deployment documents
• Interacting with customers to obtain required information to design and build an optimal solution. Validating network architectures and configs in the lab
• Use software tools to validate and monitor network performance

What we need to see:

• Bachelor’s degree in engineering, or related field (or equivalent experience). Preferred qualifications include an advanced degree with 8+ years of proficiency in networking, data center architecture, and relevant certifications.
• Strong Switching and Routing hands-on experience including BGP, VxLAN and EVPN Network fixing using a Sniffer (8+ years)
• Strong Linux administration expertise with understanding of system-level issues, kernel drivers, PCIe devices, and computer hardware architecture (8+ years)
• Engages with clients for network requirement analysis, builds next-gen data center network architectures, and validates functionality through simulations. Extensive experience in consulting or/and technical support(6+ years)
• Background in datacenter engineering, CLOS networking architecture, or cloud applications is advantageous (4+ years)
• Plays a pivotal role in automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python. (3+ years)
• Strong abilities with technical presentations, providing partners training.
• Able to travel (25%) as well as work non-standard working hours like during nights and weekends when needed

Ways to Stand out from the crowd:

• Experience with Kubernetes and Docker
• Familiarity with networking digital simulations, experience with NVIDIA Air, GNS3, EVE-NG Experience with network and server management tools like Grafana, Prometheus, Datadog, etc.
• Personal Git repository with examples of coding expertise in Python
• Experience with AI tools to boost work quality and meet project timelines
• Strong channel sales and services knowledge and partner co-selling experience

This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA collaboration. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Solution Architect to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers. In this role, your focus will be to support customers and partners in the areas of planning, development, construction, and deployment of large-scale AI factories. You will join the team building capabilities to develop, construct, and deliver large-scale AI factories based on NVIDIA's reference designs. This includes architectural systems, power distribution, cooling systems, integration of telemetry and control systems, and all other physical infrastructure. Acting as a trusted advisor embedded with customer and partner teams, you will bridge solution development, implementation enablement, and post-deployment optimization to accelerate AI factory adoption!

What you will be doing:

• Data Center deployment planning: Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA’s reference architecture for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture. Support customers and partners in quickly implementing this architecture into sophisticated and reliable data center builds.
• Building process capabilities: Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL).
• Build and construction oversight: Review and appraise customers' and partners' infrastructure build plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. Delivering mentorship, expertise and suggestions to optimize performance, scalability, and cost-effectiveness.
• Review the operational efficiency, reliability, and readiness of data center infrastructure elements before initiating AI/HPC cluster deployments. Design and apply detailed audit plans and conduct pre-deployment audits to detect possible problems, risks, and improvement areas.
• Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components.
• Continuous Improvement: Develop partner-facing playbooks, deployment guides, and guideline documentation specific to AI factory implementations using NVIDIA reference builds.
• Technical Enablement and Knowledge Transfer: Provide hands-on mentorship to partners on deploying NVIDIA AI factory; conduct workshops and develop runbooks to build partners expertise.
• Internal Liaison & Feedback Loop: Serve as the representative of the customer/partner within NVIDIA, conveying field insights, deployment challenges, and optimization opportunities to NVIDIA internal and product engineering teams to support the seamless integration of data center infrastructure solutions.

What we need to see:

• Bachelor's degree or equivalent experience in Engineering, or a related field. Preferred qualifications include an advanced degree or equivalent experience, relevant certifications, or comparable experience.
• We need an expert professional with a background in multiple aspects of infrastructure delivery, preferably of hyperscale data centers. The ideal candidate will have at least 8+ years of experience, preferably in high-density AI/HPC data centers.
• Proven technical expertise in data center systems and operations—power distribution, liquid cooling, rack/server chassis, and cabling.
• Effective communication at both on-the-ground implementation as well as executive levels, internally and with customers and partners.
• Coordination & Time Management – proficient at planning and scheduling tasks related to the job to accomplish objectives within or ahead of designated time frames.
• Able to travel (25%).

Way to Stand out from the crowd:

• Experience in hyperscale data center rollout, operational procedures, safety, and security protocols.
• Strong grasp of the entire data center Infrastructure stack.
• Strong channel sales and services knowledge and partner co-selling experience
• Ability to learn quickly and tackle sophisticated problems.

This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA teamwork. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a highly motivated Full-stack applications engineer to join a team laser focused on building globally scaled HD mapping solutions. We provide survey level HD Mapping and Localization services for the NVIDIA DRIVE® platform. We are looking for senior software engineers with a strong passion in the self-driving car industry and experiences in mapping, and 3D data visualization!

What you will be doing:

• Design, develop, and maintain modern , scalable and efficient tools to visualize and edit HD maps using React, TypeScript, and modern JavaScript frameworks
• Collaborate with product designers and backend engineers to build clean, efficient, and user-friendly features.
• Process the mapping data into formats that can be consumed by downstream customers, such as NDS/OpenDrive.
• Participate in code reviews, architecture discussions, and continuous improvements to the development process.
• Contribute to build automation, deployment pipelines, and DevOps tools as needed

What we need to see:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Robotics, GIS or a related field (or equivalent experience)
• Solid understanding of REST web services and API integration
• 8+ years of proven experience in software development for mapping, GIS, simulation or related fields, with a focus on 3D visualization tooling skills for HD maps.
• Strong proficiency in programming languages such as C++, Javascript, React, TypeScript. Java
• Strong debugging, performance profiling, and problem-solving skills
• Knowledge of GitLab CI/CD pipelines or similar automation tools

Ways to stand out from the crowd:

• In-depth knowledge of Computer Graphics, Computational Geometry, GPU rendering techniques, libraries, and frameworks, such as OpenGL, WebGL, or Unity3D.
• Solid background in mathematics, working knowledge of computer graphics and computational geometry.
• Working experience with one or more HD map formats: NDS, OpenDrive, Apollo, LaneLet, OSM.
• Experience with Golang for backend or service development
• Understanding of containerization (Docker) and orchestration (Kubernetes) as well as familiarity with Bazel or similar build systems

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join the NVIDIA's AV Integration Engineering team that is reshaping the future of autonomous driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. As a Principal Engineer, you will collaborate with leading automotive companies to understand their requirements and develop solutions. You will help craft the software architecture by working closely across NVIDIA internal teams and external partners developing on our autonomous platform. You will also advance and refine the overall scalability of our solution, focusing on integration and stability challenges using your deep analytical skills to tease through the complexity of the system to find effective solutions.

NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!

What you'll be doing:

• Lead, build, and drive the architecture and engineering alignment for key automotive customer projects through all phases, from bringup to production and post-production, using the DRIVE platform.
• Architect and build a seamless integration environment to amplify the scalability of our software solutions for our partners.
• Collaborate with senior leaders across the company to evolve the product initiatives, roadmaps, and processes. Drive innovation bringing in new technologies.
• Lead bring-up activities and provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.
• Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.

What we need to see:

• BE/BS or MS in computer science, robotics, computer engineering, or equivalent experience.
• Understand the technological evolution in the self driving industry.
• 15+ years of deep hands-on technical experience.
• Extensive strong technical leadership experience across large-scale organizations.
• Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
• Broad and deep technical knowledge across software and hardware.
• Proven ability to lead teams across multiple hardware, software and business groups through design and implementation.
• Excellent communication and interpersonal skills and the ability to influence large organizations in meaningful ways.

Ways to stand out from the crowd

• Familiar with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.
• Software development experience on QNX or equivalent RTOS.
• Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications.
• Knowledge of GPU programming such as OpenCL or CUDA and understanding of the NVIDIA DRIVE platform.
• Contributions to or ownership of open-source project and mentorship experience.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need hardworking, hard-working and creative people to help us seek more of these challenging opportunities in Autonomous Driving. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We're looking for a very strong technical engineer; someone with the technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges unrivaled to the automotive industry and our automotive products. As part of the automotive SIT organization, you'll get along with both software and hardware engineering teams covering multiple subject areas to provide quality product.

What you’ll be doing:

• Work on Autonomous Vehicle Software i.e. NVIDIA DRIVE SW, and Triage filed issues with accurate analysis and debugging steps and showcase the presentation skills.
• Collaborate with a team with dynamic strengths of engineers encompassing the entire NVIDIA DRIVE platform. As such, you should have a track record of working well across organizations.
• Develop and maintain the NVIDIA DRIVE NDAS product KPI based on the triage analysis.
• Build the end to end pipeline to evaluate the KPI and deploy them in the field.
• Automate the KPI generation and robust evaluation to represent on the dashboard.
• Root cause/tackle the problems and drive them closure.
• Working/communicate daily analysis to the Management/Engineers to resolve the issues faster.
• Strong leadership & interpersonal skills are required.
• Hands-on experience the vehicle drive and establish candid analysis to improve the product
• Work experience in Linux/QNX ADAS environment.

What we need to see:

• A master or bachelor’s degree in computer science, electrical engineering, computer engineering or have a technical degree (or equivalent experience)
• 8+ years experience in relevant field.
• 8+ overall years of ADAS proven experience.
• Experience in Automation or Tools development. Big Picture thinking!
• Self-motivated to learn new thing & embrace technology faster

Ways to stand out from the crowd:

• Experience in ADAS, Data analysis and KPI generation.
• Familiarity with industrial and scientific way of their software architecture.
• Strong in scripting/tools development.
• Strong reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join NVIDIA's Autonomous Vehicles Verification and Validation (AV V&V) team as a Principal V&V Analytics Engineer! You will provide technical leadership and develop the architecture of our evaluation and validation systems at scale. This system-level ownership role will have you set the technical direction for how NVIDIA validates DRIVE AV software across regions, customers, and vehicle platforms. If you're excited to build the future of safe autonomous driving at an industry level, this is the perfect opportunity for you!

What You'll Be Doing:

• Develop and take full responsibility for the complete system architecture for AV evaluation and validation, proactively driving progress across multiple teams within the BU. This includes data ingestion, metric calculation, behavioral assessment, and reporting for thousands of test miles daily.
• Establish technical standards, build patterns, and guidelines for evaluation frameworks and data pipelines across the V&V organization and the broader Automotive BU. Champion root-cause analysis practices that identify systemic process issues and drive corrective action.
• Lead large, cross-team efforts that span multiple organizations — aligning evaluation infrastructure with requirements from Software Product, Development, Safety, and Testing teams.
• Predict the direction of validation platforms and tooling over multiple years. Advise leadership on technology investments and architectural decisions to keep NVIDIA ahead of the curve.
• Drive adoption of improved workflows and processes at the BU level, providing technical analysis and evidence to justify changes and sharing standard methodologies from adjacent teams.
• Architect scalable cloud and GPU-accelerated compute strategies for large-scale metric evaluation, bringing to bear NVIDIA's outstanding strengths in accelerated and distributed computing.
• Mentor and develop engineers across the V&V team and adjacent organizations, setting a high bar for code quality, system architecture, and validation methodology. Arbitrate cross-team technical decisions and guide resolution of complex architectural trade-offs.
• Serve as a recognized technical authority both inside and outside the company. Publish findings and present at reviews with senior leadership. Represent NVIDIA's validation approach to partners, customers, and industry bodies.

What We Need To See:

• MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
• 15+ years of professional experience in software engineering, data engineering, or systems architecture, with sustained performance at a senior or staff level.
• Demonstrated ability to own and define system-level architecture for complex software platforms — not just implement features, but compose entire modules or systems that teams build on.
• Deep expertise in Python and C/C++, including crafting production-quality libraries, APIs, and frameworks used by multiple teams.
• Established experience in defining technical direction across organizational boundaries: developing standards, advancing process improvements, and uniting multiple teams toward a shared architecture.
• Hands-on experience building and scaling data pipelines, evaluation infrastructure, or analytics platforms in cloud computing environments.
• Strong leadership and communication skills with the ability to tailor messaging across audiences — from presenting strategic recommendations to senior executives to mentoring new college graduates.
• Ability to produce clear, high-quality documentation: architectural documents, technical guides, and executive-level summaries.

Ways To Stand Out From The Crowd:

• Deep background in autonomous vehicle validation, ADAS evaluation, or safety-critical systems verification at the vehicle or system level. Experience defining validation methodology, safety metrics, or ODD coverage frameworks that have been adopted across an organization or industry body.
• Demonstrated ability in developing and growing GPU-accelerated or distributed computing pipelines for processing and examining large telemetry or driving log datasets.
• Publications, patents, or industry specifications contributions in areas related to AV safety, validation, or large-scale data analysis.
• Experience guiding technology strategy at the BU level or above, including reviewing competitive and cooperative opportunities with partners and vendors.
• Strong background in statistics and quantitative analysis applied to fleet-level global validation data.

If you're driven by questions like "How do we know the architecture will scale?", and "What does the data tell us about safety at a fleet level?", we'd love to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Senior AI compute Engineer to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers.

Academic, Enterprise and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent communication skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation

What you will be doing:

• Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
• Be the domain expert with partners during planning calls through implementation.
• Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world!
• Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• 8+ years providing in-depth support and deployment services; solving problems for hardware and software products.
• Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring).
• Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).
• Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
• Scripting proficiency (Bash, Python, Ansible, etc.). Experience with schedulers such as SLURM, LSF, UGE, etc.
• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
• An ability to travel to customer sites within the United States up to 30% of the time.
• Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

Ways to Stand out from the crowd:

• InfiniBand experience.
• Experience with GPU (Graphics Processing Unit) focused hardware/software.
• Experience with MPI (Message Passing Interface).
• Storage technologies such as Lustre or GPFS.
• Familiarity with OEM GPU platforms
• Strong channel sales and services knowledge and partner co-selling experience

This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA collaboration. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we are pushing the boundaries of what is possible in the world of autonomous vehicles. As a leader in autonomous drive technology, we employ some of the most innovative engineers and technologists. We are looking for a Senior System Safety Engineer to join our outstanding team in Santa Clara, CA. This is an outstanding opportunity to help us bring NVIDIA's safe autonomous vehicle technology to the world. You'll play a key role in ensuring the safety of our autonomous driving products at scale, performing safety analysis, and defining safety architectures. The work you will do is exciting, fun, and meaningful. Come be part of a team that is dedicated to achieving the highest standards of safety and innovation!

What you'll be doing:

• Conduct safety analysis and establish safety concepts to support ongoing and secure software releases.
• Collaborate with software developers and AI engineers to ensure safety concepts are implemented and evaluated effectively.
• Analyze fleet data, test, and simulation results, providing timely feedback to developers to continuously improve safety.
• Help refine processes and tools for analysis and data-driven safety evaluation.
• Present safety concepts and safety evaluation results to key collaborators and management to reduce risks to the project.

What we need to see:

• MS or higher in Computer Science, Robotics, or equivalent experience.
• 8+ years of relevant industry experience.
• A structured approach to systems and software development.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.

Ways to stand out from the crowd:

• Expertise in ADAS or autonomous vehicle systems or Machine Learning or Robotics.
• Proficiency in V&V of safety-critical systems.
• Knowledge of data science and statistics.
• Familiarity with sensor technologies, e.g., radar, lidar, camera. Understanding of reliability theory.
• Experience with system safety methodologies & practices (FMEA, FTA, STPA, etc.) and knowledge of safety standards (ISO 26262, IEC 61508, UL 4600, ISO 21448, ISO 8800, etc.).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

At NVIDIA, we're not just transforming the world of computer graphics and AI; we're setting the stage for the future of autonomous driving. As a Lead Safety Architect, you will be at the forefront of our autonomous vehicle technology, ensuring its safety at scale. You will collaborate with the most innovative engineers and technologists to integrate safety measures into our latest DRIVE products. This role is paramount in achieving and exceeding NVIDIA's high safety standards, making your work both exciting and impactful!

What you'll be doing:

• Leading multi-functional initiatives to define safety architecture and requirements for autonomous vehicles.
• Delivering safety concepts and analysis to enable continuous and safe software deliveries.
• Defining and improving safety metrics in collaboration with experts in perception, AI, motion planning, and safety architecture.
• Improving processes and tools for safety analysis and data-driven evaluation.
• Sharing safety analysis and readiness results with colleagues and management.

What we need to see:

• MS or higher in Computer Science, Robotics, or equivalent experience.
• 12+ years of relevant industry experience.
• A structured approach to systems and software development.
• Proven record of successfully leading multi-functional efforts in architecture, development, or verification.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.

Ways to Stand Out from the crowd:

• ADAS or autonomous vehicle systems or Machine learning and Robotics experience
• Knowledge and experience in Data science and statistics
• Worked in V&V of safety-critical systems
• Knowledge of Sensor technologies, e.g. radar, lidar, camera
• Experience with system safety methodologies & practices (FMEA, FTA, STPA,..) and safety standards (ISO 26262, IEC 61508, UL4600, ISO21448, ISO 8800..)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking for a Senior Software Engineer for the Parking, Autonomous Vehicles team at Nvidia. In this role, you will help build groundbreaking technology at the intersection of automotive and robotics that is intended to unlock a new generation of driver assist features. The team you will be joining is building features to support parking and driving activities on the Autonomous Vehicle program, and we are looking for someone with strong curiosity and who enjoys solving difficult problems with analytical rigor.

What you’ll be doing:

• Design planning algorithms to handle navigation in unstructured and semi-structured environments.
• Implement planning algorithms using C++ to support parking and driving features.
• Write documentation and tests for automotive software.
• Develop simulations scenarios to assist development of new features.
• Support deployment of your code on test vehicles and support tests.

What we need to see:

• Experience in Mathematics, Control, Optimization, Machine Learning, Reinforcement Learning, etc.) or equivalent.
• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Experience using C++ for development.

Ways to stand out from the crowd:

• Experience with ML planning approaches.
• Previous experience with parking assist features.
• Previous experience leading small teams or projects.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

At NVIDIA, we are building the next generation AI-native autonomous driving architecture — combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. Autonomous driving is entering a new era. The next generation of AV systems will not be purely classical robotics stacks, nor purely end-to-end neural networks. The future lies in the deep integration of classical safety architectures and large-scale AI-driven systems. We are looking for a leader who can build and scale the engineering organization delivering these systems into production.

What you"ll be doing:

You will lead teams building the architecture behind next-generation autonomous driving systems while driving execution from research through production.

• Drive architecture development across Prediction / Planning / Decision / Control
• Guide the integration of AI-native driving systems, including VLA/VA models and World Model–based reasoning
• Ensure system adaptability through strong safety architecture and fallback strategies
• Lead development of scalable Classical × E2E hybrid autonomy stacks
• Drive cross-team integration across perception, planning, simulation, and infrastructure
• Ensure systems scale from research prototypes to production deployment
• Build and grow a high-performing autonomy engineering team
• Mentor senior engineers and develop future technical leaders
• Drive technical roadmaps, execution milestones, and engineering perfection
• Coordinate complex cross-functional programs across global teams

What we need to see:

• BS, MS or PhD in Computer Science, Robotics, or related engineering field (or equivalent experience).
• Strong technical leader with experience building sophisticated autonomy or AI systems. 4+ years of experience managing a team. 8+ years of overall meaningful experience.
• Deep experience in self-driving vehicle technologies or robotics platforms
• Strong understanding of Prediction / Planning / Control architectures
• Experience with large-scale AI systems or ML infrastructure
• Proven track record to drive complex technical programs across multiple teams
• Experience building and scaling high-performing engineering teams
• Successful candidates are able to balance long-term architecture vision with disciplined execution and delivery.

Ways To Stand Out From The Crowd:

• Successful track record of leading autonomous driving software releases or feature closure cycles from prototype to mass production.
• Experience with simulation-based validation, scenario management, and data-driven quality tracking frameworks.
• Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.
• Demonstrated ability to build, mentor, and scale technical leaders in a constantly evolving organization.
• Passion for delivering impact in autonomous driving technology.

NVIDIA is widely recognized as one of the world’s most innovative technology companies — driving breakthroughs in AI, autonomous systems, and high-performance computing. As part of our Autonomous Driving division, you’ll work alongside world-class engineers to bring next-generation driving intelligence from research to reality.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI computing company." Make the choice to join us today.

Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and heterogeneous hardware architectures. We are now looking for a Senior Integration Engineer, Autonomous Vehicle.

What you’ll be doing:

• Defining functional software architecture NVIDIA's L2/L3/L4 autonomous driving solutions.
• Integrating modular software components (e.g. perception, planning, etc.) together to implement customer-required self-driving functions.
• Optimizing product implementation to achieve target performance goals.
• Diagnosing system software & functional driving issues reported on our target driving platforms, including on-road & simulation.
• Developing efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.
• Performing in-vehicle tests, collecting data and completing autonomous drive missions.
• Developing system tests, documentation of product functions, evaluating quality and proposing corrective actions.
• Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
• Follow quality and safety standards such as defined by MISRA.

What we need to see:

• PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Excellent C and C++ programming skills.
• Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.Profound knowledge of programming and debugging techniques.
• Experience on developing software in heterogeneous architectures, including GPUs.
• Knowledge of image processing APIs (e.g. OpenCV) and MATLAB tools, automotive systems, notably ADAS applications.
• Software development for CUDA, Linux, and QNX.
• Experience with version control systems GIT and build system like CMake/Bazel.
• Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
• Solid understanding on Linux, Android, and/or other real-time operating systems.

Ways to stand out from the crowd:

• Understanding of parallel, embedded and distributed architectures.
• Thrive on writing low latency, highly performant code.
• Great communication and analytical skills.
• Self-motivated and a great teammate.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We're looking for a Technical Product Manager to join our team, responsible for crafting and promoting products to expand our Autonomous Vehicles business at NVIDIA Automotive. You will invent NVIDIA's groundbreaking autonomous vehicles technology into future offerings. You will work with forward-thinking people in engineering, operations and research to understand and promote the products to our customers

What you will be doing:

• Serve as the primary point of contact for customer engagements, understanding their needs, and synthesizing requirements to inform product architecture and features.
• Lead negotiations with customers to define and prioritize the product feature roadmap.
• Maintain a deep understanding of our AV product roadmap, including features, timelines, and capabilities, and document detailed product requirements.
• Lead end-to-end customer workshops for next-generation product discussions.
• Ensure all product elements—including use case definitions, system composition, and safety—are aligned with product goals.
• Proactively identify and address gaps in the product or development process.
• Partner with leaders across product, hardware, software, safety, integration, and operations to support successful product launches.
• Drive Benchmarking state-of-the-art models on NVIDIA embedded platforms (Orin, Thor, and Thor Next).
• Support pre-sales discussions to ensure alignment across all customers.
• Maintain marketing collateral for all products assigned.
• Own and operate customer demos of NVIDIA AV products

What we need to see:

• BS/MS (or equivalent experience) in engineering
• 8+ years proven experience in both software and hardware platforms.
• You are a Self-starter, with a 'can-do' attitude in a multifaceted environment.
• Experience working in a software development environment
• Experience with product requirements management tools (e.g. JAMA)
• Track record of leading the launch of technically complex products to customers
• Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers

Ways to stand out from the crowd:

• Background in autonomous vehicles, Driver Assist technology, and/or machine learning
• Exposure developing and/or leading development of ADAS functions/products
• Experience with customer management & interaction

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how we can make a lasting impact on the world.

Our autonomous driving team is building and validating sensing systems that accurately interpret the environment in all contions. We are looking for a Senior Automotive Sensor Ecosystem Engineer to help define and validate the next generation sensor framework and environment for autonomous vehicles.cosystem. In this role, you will track automotive sensor technology development plans. You will perform deep-dive sensor evaluations and analyze real-world performance data. You will provide clear, actionable insights that develop platform-level decisions. The ideal candidate is highly technical, data-driven, comfortable working across vendors and in-house teams, and thrives in ambiguous, fast-paced environments where product definitions evolve.

What you’ll be doing:

• Own and maintain end-to-end sensor technology roadmaps across the ecosystem (Camera, Radar, Lidar), including capability tracking, maturity assessment, and risk/mitigation plans.
• Build and sustain strong partnerships with sensor suppliers as the technical point of contact—driving roadmap and evaluation engagements, aligning on requirements/validation plans/timelines, leading KPI-based deep-dive sensor assessments (lab, vehicle, and fleet), and providing structured feedback that influences sensor features, quality, and issue resolution.
• Lead deep-dive, KPI-driven evaluations of sensors and subsystems by defining goals/acceptance criteria and test methodologies, executing lab/bench characterization, and driving vehicle- and fleet-level validation to quantify real-world performance.
• Develop and run data analysis workflows on large-scale logs to quantify sensor quality and system impact (detection range/accuracy, calibration stability, drift, dropouts, false positives/negatives, latency/jitter, time sync).
• Validate sensor performance and reliability in real-world conditions by assessing environmental robustness and performing field-degradation analysis to identify failure modes and report reliability trends.
• Provide high-quality data, dashboards, and executive-ready readouts to inform Autonomous Vehicle Sensor Architecture and Ecosystem Enablement decisions.
• Ensure sensor choices align with long-term technology and product roadmaps (cost, scalability, supply continuity, safety/reliability targets, manufacturability, and integration constraints).
• Partner cross-functionally with perception, calibration, platform architecture, validation, functional safety, and supplier teams to close issues and drive sensor readiness for productization.
• Influence next-gen sensor architecture tradeoffs (sensor suite composition, placement/FOV coverage, redundancy concepts, synchronization strategy, interfaces, power/thermal budgets, and validation strategy).

What we need to see:

• Master’s degree or PhD in EE, CE, ME, Robotics, Physics, Applied Math, or a related field (or equivalent experience).
• 12+ years of experience in automotive sensing, perception-adjacent sensor engineering, sensor validation, or ADAS/AV systems engineering.
• Demonstrated ability to build and sustain positive relationships with sensor suppliers, including driving technical discussions, customer concern paths, and joint issue resolution.
• Proven expertise evaluating and characterizing one or more automotive sensor modalities (Camera/Radar/Lidar), with the ability to reason across the full sensor suite.
• Strong data analysis skills (e.g., Python, Statistical inference) with experience turning noisy real-world data into defensible conclusions and recommendations.
• Demonstrated experience defining validation plans and KPIs, executing structured evaluations, and driving issues to root cause with suppliers and internal stakeholders.
• Solid understanding of sensor interfaces and system integration constraints (bandwidth, latency, time synchronization, compute impacts, calibration considerations, and environmental effects).
• Clear communication skills: able to write crisp technical reports, present trade studies, and influence architecture decisions across multidisciplinary teams.

Ways to stand out from the crowd:

• Hands-on experience with fleet/field data analysis for AV/ADAS sensor performance (large-scale logging, curation, scenario mining, regression tracking).
• Background in sensor calibration topics (intrinsics/extrinsics, timestamp alignment, drift monitoring, online/offline calibration validation).
• Familiarity with safety and automotive development expectations (SOTIF/functional safety concepts, traceability, validation coverage thinking).
• Demonstrated leadership as an IC: creating alignment across teams, mentoring, setting technical direction, and delivering through influence rather than authority.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking a highly technical and strategic Senior Technical Lead to join our team, with a focus on engaging developer ecosystems across emerging technology domains such as Generative AI, Autonomous Vehicles, and Simulation Platforms. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms—including Omniverse, Cosmos, and GenAI frameworks. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.

What You'll Be Doing:

• Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.
• Develop and maintain deep technical expertise in NVIDIA Cosmos and Omniverse Platforms and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.
• Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems.
• Engage with partner software organizations, from engineering teams to technical leaders, and decision-makers to understand their goals, solve technical challenges, and promote best practices for successful integrations.
• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
• Support product launches, technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring excellence in customer- and partner-facing materials.
• Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.

What We Need to See:

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
• 12+ years of experience of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.
• Experience writing production code in Python or C++, and proficiency with Linux.
• Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
• Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).
• Experience with DL and RL algorithms and frameworks such as PyTorch.
• Skilled at collaborating across engineering, product, sales, and marketing teams, with strong interpersonal abilities to simplify complex technical concepts for diverse audiences.
• Experience leading technical collaborations with engineering and product teams—including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
• Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.

Ways to Stand Out from the Crowd:

• Experience with AV sensors, data curation pipelines, world models, simulations workflows and tools.
• Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.
• Understand computational characteristics of Multimodal LLMs, VLMs, DiT, etc.
• Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP) with a proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.
• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how we can make a lasting impact on the world.

What you’ll be doing:

• Develop use cases and system requirements for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines.
• Perform system-level analysis to define performance requirements and allocate performance budgets across subsystems.
• Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements.
• Define and drive online and offline test strategy and execution at both vehicle and component levels.
• Partner closely with Data Analytics, Test Engineering, and System Integration & Test teams. Ensure the right evaluators and important metrics are developed. Prove that datasets cover sufficient scenarios and requirements. Target appropriate sampling strategies through Data Collection and Real-World Driving.
• Establish strong multi-functional relationships with collaborators across engineering, safety, validation, and product teams.
• Drive innovation in requirements decomposition, traceability, and verification processes.
• Promote and cultivate a strong systems engineering approach across the organization.

What we need to see:

To succeed in this role, you should have:

• MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).
• 8+ years proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture.
• Strong software development background with proven coding skills.
• Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis.
• Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.
• Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies.

Ways to Stand Out from the crowd:

• Experience contributing to a launched L3/L4 autonomous vehicle program.
• Experience in AI safety and safety validation for ML-based systems.
• Hands-on experience with large-scale datasets, data science, and analytics workflows.
• Strong software engineering experience with proficiency in Python, SQL, and C++.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking a Senior Software Engineer to join NVIDIA's Autonomous Vehicle Map Team. The map is the spatio-temporal prior for on-vehicle driving models, enabling autonomous vehicles to continuously improve performance on frequently driven routes. In this role, you will develop and build production-grade on-vehicle map integration solutions. These solutions let perception, localization, and planning use SD/HD maps in real time. You may also contribute to cloud mapping pipelines that generate and maintain these maps. We are looking for outstanding engineers passionate about building intelligent systems for self-driving cars, with expertise in embedded software, real-time systems, and C++ performance optimization. If you're excited about building the systems that enable human-level AI for navigation, this is your opportunity to make an impact.

What you'll be doing:

• Build C++ modules for in-vehicle map connection with perception, localization, and planning systems to enable real-time map consumption and validate map impact on driving performance
• Work with embedded systems and real-time constraints to optimize map parsing, query APIs, and memory management on NVIDIA platforms
• Design and implement map query interfaces that provide low latency for lane geometry, routing graphs, and spatial lookups consumed by autonomous driving software
• Integrate cloud-generated maps with on-vehicle stacks to enable end-to-end validation of map quality and measure driving performance impact
• Develop Python and C++ tools for on-vehicle testing, map data validation, debugging, and performance profiling
• Collaborate with perception, planning, and localization teams to understand requirements, build APIs, and ensure maps are accurately accessed by autonomous driving software
• Support cloud mapping pipelines (Airflow, Python) for map generation, quality detection, and validation workflows as needed

What we need to see:

• BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• 8+ years of proven experience developing in-vehicle firmware, time-sensitive platforms, or map-to-vehicle integration for autonomous driving
• Strong C++ programming skills for performance-critical embedded systems, memory optimization, and real-time constraints
• Experience with embedded platforms and real-time operating environments (NVIDIA Orin, Xavier, QNX, or similar)
• Understanding of autonomous vehicle software architectures and how maps are consumed by localization, perception, and planning systems
• Experience debugging and profiling performance on embedded hardware with memory and timing constraints
• Strong Python programming skills for tooling, testing, and automation
• Excellent problem-solving skills and ability to debug complex embedded and real-time systems
• Experience with Protocol Buffers and efficient data serialization for embedded systems

Ways to stand out from the crowd:

• Extensive experience with SD & HD mapping and deep understanding of map data formats
• Production experience integrating maps with perception, localization, or planning systems in autonomous vehicles
• Expertise in real-time C++ optimization including memory management, cache optimization, lock-free algorithms, and deterministic performance
• Experience with computer vision concepts (3D geometry, point clouds, structure-from-motion) and how they relate to map data
• Experience with Airflow, Docker, Kubernetes and cloud map pipeline development

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

At NVIDIA, we are building the next generation AI-native autonomous driving architecture — combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. Autonomous driving is entering a new era. The next generation of AV systems will not be purely classical robotics stacks, nor purely end-to-end neural networks. The future lies in the deep integration of classical safety architectures and large-scale AI-driven systems. If you want to work on problems that build the future of autonomous systems over the next decade, this is the place.

What You’ll Be Doing:

• You will compose and build the architecture behind next-generation self-driving vehicle technology.
• Work on Prediction, Decision, Planning and Control architecture
• Have exposure to Classical safety stack
• Build robust system-level safety and fallback strategies
• Work on End-to-end data-driven AV pipelines
• Hands on experience in DVLA / VA driving models
• Develop a World Model–based planning and reasoning model
• Have the exposure to engage with Large-scale model inference architecture
• Contribute to the integration of innovative research in robotics into our self-driving vehicle technologies.
• Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.

What We Need To See:

We’re looking for engineers who can build systems — not just components.

• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Production experience in autonomous driving systems
• Worked on AI foundation models or large-scale ML systems
• Helped drive End-to-end driving models
• Experience working on Robotics or embodied AI systems
• Knowledge and experience in System architecture from 0 → 1 → scale.

Ways To Stand Out From The Crowd:

• PhD in a relevant field or related research experience
• Knowledge of CUDA is a plus

NVIDIA is widely recognized as one of the world’s most innovative technology companies — driving breakthroughs in AI, autonomous systems, and high-performance computing. As part of our Autonomous Driving division, you’ll work alongside world-class engineers to bring next-generation driving intelligence from research to reality.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a Senior Technical Product Manager to own the end-to-end delivery of new autonomous vehicle features, from definition to launch. We are widely considered to be one of the technology world’s most desirable employers, with some of the most forward-thinking people on the planet working with us. With our invention of the GPU, we set the stage for advances in the field of artificial intelligence, computer vision, and medical research. Today, we are developing groundbreaking products in robotics and intelligent autonomous machines. There has never been a more exciting time to join us!

What you will be doing:

• Define a cohesive user-centric product vision and experience, along with product goals & metrics
• Outline the strategy/roadmap to achieve these goals, and lead its execution to completion by driving alignment across teams
• Identify & prioritize the most critical activities required for the product's success, and ensure that they are completed
• Maintain a pulse on the overall health of the workstream, representing its progress to the broader team and proactively mitigating/communicating risks as early as possible
• Develop a strong technical understanding of the stack, to proactively identify new opportunities for product application and creative ways to solve/mitigate technical challenges

What we need to see:

• Bachelor of Science in Electrical Engineering or Computer Science (or equivalent experience)
• 15+ years of experience in a similar or related role
• Experience working in a software development environment
• Track record of leading the launch of new products or features to users
• Strong leadership and communication skills, with the ability to drive alignment across large organizations

Ways to stand out from the crowd:

• Background with autonomous vehicles and/or machine learning
• Experience with data analysis tools/languages such as SQL
• Experience with start-ups and/or early-stage products

If you're passionate about autonomous vehicles, we would love to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness.

What you will be doing:

• Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software.
• Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards.
• Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems
• Work with the Planning & Control team to develop and drive software testing strategies

What we need to see:

• MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields
• 5+ years experience working in software engineering, data science, and/or experiment design roles
• Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib)
• Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system
• Ability and enthusiasm to ramp up quickly on new technical domains
• Ability to multitask and prioritize in a fast paced environment
• Excellent organizational and interpersonal skills

Ways to stand out from the crowd:

• Experience developing on-board planning algorithms
• Developed metrics for autonomous vehicle robotics systems
• Experience with evaluating precision and recall of performance metrics
• Familiarity with C++
• Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software expert to join our Autonomous Vehicles (AV) Drive-Alpha team in US Santa Clara. You will be driving the engineering execution of feature development or exceeding metric requirements, especially for L2++ and L3/L4. Drive-Alpha consists of proficient domain-experts spanning the full stack of autonomous driving, including perception, fusion, prediction, planning and control, autonomous model, many with proven development experiences for the highly competitive market in key functions like Highway NOA (Navigation on Autopilot) and Urban NOA (Navigation on Autopilot), as well as point to point driving (including parking).

This team is responsible for the integration and sign-off of NDAS component teams' merge request/change lists, promotes validated changes to merge into stable branch, analyzes the root-cause of the regression identified, and drive the corrective actions taken by component engineering teams for a productive CI/CD process of SW development. Also, the team members tightly integrate into component teams' development, acting as a dependency resolver for the component teams to deliver cross-function improvement that are most impactful to NDAS product. We nurture teamwork among component teams' engineers and establish positive relationships and communications with partner organizations.

What you’ll be doing:

• Provide in-depth and insightful technical feedback on the quality of NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing.
• Identify the weak link of the L2++/L3/L4 SW stack and make it strong.
• Integrate, test and sign-off SW stack's code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS SW.
• Decompose a complicated cross-function problem into actionable items and coordinate a concerted effort among multiple collaborators.
• Join force with component team developers, when necessary, provide your domain expert input to a solution for hard problems, and produce production-quality code to component code base.

What we need to see:

• PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of proven experience in Computer Science, Computer Engineering, or a related technical field.
• Great coding skills in modern C++ and scripting languages like Python.
• Deep understanding of L2++/L3/L4 product features in the market.
• Hands-on experience in debugging AD SW problems.
• Ability to communicate well and work productively in a cross-disciplinary environment.

Ways To Stand Out From The Crowd:

• Experience of working as a hands-on tech lead for one or more autonomous driving components.
• Hands-on development experience of an SOP-ed AD and/or ADAS product.
• Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component).
• Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.

NVIDIA has some of the most forward-thinking and hardworking people in the world. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an experienced SW Engineer to join Autonomous vehicle SW development for integrating both machine learning and classical trajectory planner within a safety-oriented framework in high autonomy level (SAE Level 3 or 4 focused). Do you have solid SW integration and SW architecture fundamentals, and a broader understanding in the behavior planning, trajectory planning, Safety concept and machine learning overall? If so, this may be the role for you.

What You'll Be Doing:

• Various architectural work cross team–classical planner and machine learning planner.
• Establish the framework where safety requirements are satisfied in trajectory planning.
• Safety related work experience in autonomous systems
• Build Minimum-Risk-Planning in a high level autonomy system.
• Establish scalable architecture for various Nvidia self driving stack as a product
• Actively engaged in planning and control algorithms development and implementation. Understand the SW architecture,
• Design and requirements and ensure overall planning and control performance and capabilities are improving.
• Review, influence, and challenge the algorithm in planning and control with new ideas, and creatively influence the roadmaps across teams.

What We Need To See:

• 12+ years of relevant industry experience.
• A track record of driving a large size of self driving projects through the entire development lifecycle.
• BS/MS or higher or equivalent experience in robotics, computer science, or related engineering fields.
• Experience in agile SW development process and delivering SW as a product, preferably in safety-critical applications. Ability to design for reliability and testability.
• Strong software engineering fundamentals.
• Excellent verbal and communication skills.
• Strong analysis skills.

Ways To Stand Out From The Crowd:

• Technically leading the deliverable in a large scale of self driving feature
• Exceptional SW Engineering skill and experience
• Passionate about innovative technology and actively stays informed on leading technologies and trends, especially in the field of autonomous vehicles and autonomous systems.
• Be hands-on and work well with cross-team, with a significant level of detail orientation and a penchant for data organization and willing to firefight.

We believe that building self-driving vehicles will be a defining contribution of our generation. We have the vision, roadmap and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Planning & Control Engineer to build and ship motion planning and vehicle control capabilities for autonomous driving and advanced driver assistance systems. You will own core algorithms and their production integration—turning complex, uncertain real-world inputs into safe, comfortable, and efficient vehicle behavior across diverse scenarios. This role spans end-to-end autonomy from planning logic and optimization through control, calibration, testing, and performance validation in simulation and on-vehicle.

What You’ll be doing:

• Design and implement behavior and motion planning systems (lane/route following, merges, unprotected turns, interactions, yielding, etc.).
• Develop trajectory generation methods (sampling/search, optimization-based, MPC-style, rule/constraint-based) that satisfy safety, comfort, and traffic constraints. Integrate prediction, map, and localization inputs; handle uncertainty and imperfect/partial observations.
• Define and enforce constraints (collision avoidance, kinematic/dynamic feasibility, traffic rules, passenger comfort).
• Build longitudinal and lateral control algorithms (tracking, stabilization, speed control, steering control) for robust performance across conditions.
• Develop controllers resilient to latency, actuator limits, disturbances, and changing vehicle dynamics.
• Implement fallback behaviors and runtime checks (trajectory validity, constraint violations, system health).
• Establish metrics and evaluation pipelines: safety proxies, comfort, rule compliance, progress, and robustness. Debug complex autonomy failures using logs, visualization, replay, and scenario triage.
• Improve performance and reliability for real-time systems (latency budgets, determinism, profiling). Participate in architecture reviews; define clean APIs and component contracts.

What we need to see:

• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Strong C++ development skills and experience shipping performance-sensitive systems.
• Proven foundation in robotics and controls (kinematics/dynamics, estimation basics, feedback control).
• Experience with planning techniques and constraints-based decision making under uncertainty.
• Ability to design tests, metrics, and evaluation methodology; comfort with debugging real-world edge cases.

Ways to stand out from the crowd:

• Experience with production ADAS/AV planning and/or control stacks.
• Experience with trajectory optimization, MPC, iLQR, sampling-based planning, search-based planning, or hybrid approaches.
• Familiarity with automotive interfaces, vehicle dynamics, and calibration/validation workflows.
• Experience with large-scale simulation, scenario generation/mining, and log-based evaluation.
• Python tooling for analysis, visualization, and offline evaluation pipelines.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by seeking new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today!

What you'll be doing:

As an engineer in NVIDIA's Hardware IP Security team you will play a vital role in protecting our intellectual property from malicious and accidental misuse by helping engineering teams build secure workflows and environments, crafting training materials, enforcing security policies and methodologies, and investigating newly discovered threats to the integrity of NVIDIA's security infrastructure. This is a hands-on contributor role for someone who excels in an independent, fast-paced environment and who is as comfortable digging into requirements and development details as they are handling day-to-day organization tasks. You will collect requirements, define priorities, plan schedules, and build relationships with other teams. Extensive interpersonal collaboration with other security specialists, hardware engineering teams, and IT partners will enable you to improve existing practices and policies, reduce the impact of security requirements on engineering efficiency, and drive complex, multi-dimensional projects to protect our data.

What we need to see:

• Strong leadership and interpersonal skills
• Experience with security tools and auditing
• Background with a variety of programming languages
• Experience with system administration of Linux servers (CentOS/RHEL and Ubuntu preferred)
• Bachelors or equivalent experience; Masters preferred
• 6+ years of experience

Ways to stand out from the crowd:

• Prior experience with CIS18 guidelines, networking ACLs / firewall rules
• Prior experience working with export controlled data
• Experience with credential management tools (Hashivault)
• Strong software engineering skills with Python and/or Javascript
• Background with container technologies like Docker or Singularity

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that matter to the world, and that only we can tackle. This is our life’s work, to amplify human imagination and intelligence, and expand what is possible. Make the choice to join us today.

As a software engineer in our internal infrastructure group, you will craft services, tools and libraries for enhancing engineering productivity of our teams with the goal of enabling security and compliance of our IP with minimal customer effort. This will help secure workflows for worldwide chip development, verification, and artificial intelligence. You will continuously innovate and develop scalable, reliable, best in class systems and tools to enable the next generation of chips in collaboration with the best engineers in the world at NVIDIA!

What you'll be doing:

• Design and implement new services, tools and libraries to make our customers' workflows "Secure By Default".
• Be responsible for the complete lifecycle from architecture to production deployment of security tooling.
• Partner with chip design, security and AI teams to understand complex workflows and translate their requirements into technical software solutions.
• Directly contribute to the overall quality of and improve time to market for our next generation chips and deep learning models.

What we need to see:

• Proficiency developing and deploying Python systems in a Linux environment.
• Proven strong foundation in object-oriented design and software architecture patterns.
• Hands-on experience with CI/CD pipelines (GitLab, GitHub, or Perforce) and DevOps practices.
• Consistent track record of owning features end-to-end including testing, deployment, and monitoring.
• Excellent planning, interpersonal and problem solving skills.
• Flexibility/adaptability working in a dynamic environment with unique challenges and requirements.
• A passion for improving the efficiency and effectiveness of other specialists and engineers.
• BS/MS in Computer Science/Engineering or equivalent experience with 5+ years experience using those skills.

Ways to stand out from the crowd:

• Expertise in Python backends (FastAPI, Django, or Flask) with production-scale deployments
• Cloud-native infrastructure experience: Kubernetes orchestration, microservices architecture, and observability (OpenTelemetry)
• Knowledge of databases, data lakes, and operating on large data sets (MongoDB, OpenSearch, PostgreSQL)
• Familiarity with Export Control Compliance or IP Security
• Experience with EDA tools, chip design workflows, or ML infrastructure

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! 

We’re looking for an AI Developer Technology Engineer to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you’ll dive deep into parallel algorithms, GPUs, and complex systems to identify and eliminate bottlenecks, unlocking the full power of the world’s most advanced processing hardware. You’ll collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Would you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we would love to invite you to consider this role!

*What you will be doing:*

• Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
• Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
• Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
• Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.

*What we need to see:*

• Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
• Relevant work or research experience.
• Experience with low-level parallel programming (e.g., CUDA).
• Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
• Fluency in C/C++ and solid foundations in algorithms and software design.
• Experience improving the performance of large-scale computational applications on GPUs.
• Good understanding of linear algebra.
• Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.

*Ways to stand out from the crowd:*

• Prior internship experience in a related field.
• Experience with inference optimization techniques and deploying optimized AI models in production.
• Experience with TensorRT, TensorRT-LLM, and cuTile.
• Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
• Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s SCG - Silicon Co-Design Group, Efficiency (SSGE) team is seeking a full-stack developer passionate about building automation and resourceful workflow tools that streamline complex engineering and business processes. You will develop and maintain intelligent workflows that leverage LLMs and automation frameworks to orchestrate data collection, decision-making, and actions across systems, while also building robust data pipelines and interactive interfaces where needed. You will partner closely with other teams to understand their workflows and turn them into AI-powered agents and tools using modern frameworks and technologies. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!

What you'll be doing:

• Build and run AI agent workflows involving LLMs and tools to automate multi-step processes.
• Build orchestration services that coordinate model calls, tools, and human review.
• Develop APIs that expose AI agents to internal apps and UIs or equivalent experience.
• Connect existing ETL and data pipelines as tools and context for agents.
• Construct simple web or chat interfaces for workflows powered by artificial intelligence.
• Ensure scalability, performance, and security of AI services and data flows.

What we need to see:

• MS or equivalent experience.
• 5+ years of full-stack development.
• Strong Python skills with a track record of building APIs and backend services.
• Proficient with SQL and relational or NoSQL databases, plus data modeling and workflow automation.
• Familiar with LLM platforms and agent/tool frameworks, and able to turn sophisticated workflows into usable AI tools.
• Expertise in Jira, Perforce, and Git-based platforms, with the technical ability to harness APIs for data retrieval and integration.
• Excellent problem-solving skills, attention to detail, and a collaborative approach.

Ways to Standout from the crowd:

• Skilled in deploying AI services on AWS, Azure, or GCP with Docker or Kubernetes.
• Experience with event-driven or streaming systems (e.g., Kafka, Kinesis).
• Expertise in dashboarding tools (e.g., PowerBI, Grafana, or EasyBI).
• Hands-on use of AI development tools (e.g., Cursor, Copilot).
• Experience leveraging AI tools or large language models (LLMs) to enhance productivity, automate workflows, or improve data-driven decision-making.

NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a NVIDIAN, you’ll be immersed in a diverse, inviting environment that encourages everyone to do their best work. Step into the team and explore how you can make a lasting impact on the world.

We are looking for a networking professional to join the NVIDIA Solution Architects team. The team supports NVIDIA’s AI factory deployments at various customer sites. Together, we will drive end-to-end integration of technology solutions with some of NVIDIA's most strategic technology customers. You will offer recommendations to customers and partners on our product upgrades. This dynamic role requires excellent social skills to analyze, define, implement, and fix large-scale networking projects with customers and internal teams.

What you'll be doing:

• Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms.
• Identifying hardware issues, supervising them through bugs, and keeping customers updated on current progress.
• Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams.
• Working directly with external customers/partners to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions.
• Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs.
• Collaborate with AI factory deployment teams and ensure RAs/Blueprints are accurately followed and implemented.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
• 10+ years of experience in designing, managing, and supporting large-scale hybrid networks. Experience with scripting is helpful.
• Strong programming skills in at least one of the following languages: C, C++, or Python.
• Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications.
• Proven understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects.
• Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters).
• System-level understanding of server/rack-level architecture, BMC, PCIe devices, Network Adapters, Linux OS, and kernel drivers.
• Excellent communication and liaison skills to work with customers, partners, and internal functions.

Ways to stand out from the crowd:

• Systems engineering, coding, and debugging skills, including experience C/C++, Linux kernel, and drivers
• Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions
• Hands-on experience in the Linux Environment and software-defined networking.
• Experience with system board architectures and familiarity with x56, 64-bit, and low-level hardware programming.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a networking professional to join the NVIDIA Solutions Architects team! The team supports NVIDIA’s AI factory deployments at various customer sites. Together, we will drive end-to-end integration of technology solutions with some of NVIDIA's most strategic technology customers. You will offer recommendations to customers and partners on our product upgrades. This dynamic role requires excellent communication skills to analyze, define, implement, and fix large-scale networking projects with customers and internal teams.

What you'll be doing:

• Deploy, lead, and maintain large-scale AI Data Centers - control, network, and storage stack.
• Tackling network issues is a big task of this role. Identifying hardware issues and supervising them through bugs while keeping customers updated on the current progress.
• Build high-performance DC fabrics using InfiniBand and high-throughput Ethernet (RoCE and traditional IP). These fabrics support general compute workloads and GPU-dense AI/ML training and inference environments.
• Implement networking solutions, such as Spectrum switch, ConnectX network adapter, and Bluefield DPU.
• Educate customers on future-proofing the infrastructure, help drive proof-of-concept (POCs).
• Collaborate with AI factory deployment teams and ensure RAs/Blueprints are accurately followed and implemented.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
• 8+ years of experience in designing, managing, and supporting large-scale hybrid networks. Experience with scripting is helpful.
• Expert in networking technologies: TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS, IS-IS, DWDM.
• Experience automating SDN/NFV/NFVI Infrastructure
• System-level understanding of server/rack-level architecture, BMC, PCIe devices, Network Adapters, Linux OS, and kernel drivers.
• Superb communication and liaison skills to work with customers, partners, and internal functions.

Ways to stand out from the crowd:

• Advanced-level experience with Cisco / Arista / Juniper is a huge plus.
• Cisco CCIE (routing and switching) + Fabric manager understanding.
• Hands-on experience in the Linux Environment and software-defined networking.
• Working knowledge of Infiniband and storage HBA.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The landscape of GPU-accelerated AI, deep learning, and machine learning is rapidly evolving. As AI transitions from pioneering research to mainstream applications, every global enterprise is keen on leveraging it. From improving operational efficiencies to crafting exceptional user experiences, AI is truly making the world better. At NVIDIA, we’re at the forefront of this change. We're seeking a self-driven Technical Product Manager Intern to join our Enterprise Product Group. You’ll be working on groundbreaking NVIDIA technologies that cater to enterprises from edge computing to data centers and the cloud. Partner with brilliant minds in engineering, operations, and marketing to lead products through their entire life cycle.

At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world. NVIDIA’s Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD—the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises.

What you’ll be doing:

• Assist in various product management tasks, including market research, customer needs analysis, and idea generation for new products and features.
• Default to action, identify product gaps and begin writing code to fix them using AI.
• Develop novel use cases of existing products to show the art of the possible with NVIDIA Gen AI software libraries.
• Conduct competitive and market analysis across AI infrastructure software ecosystems.
• Update documentation based on user feedback, feature updates, etc.
• Collaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces.
• Supervise customer feedback and product performance metrics.
• Develop and update the product roadmap and relevant documentation.
• Drive OSS contributions and cultivate community engagement with our open infrastructure libraries.

What we need to see:

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Science, Electrical Engineering, or a similar field.
• Hands-on experience with Git, including basic command-line skills.
• Strong interpersonal skills and the ability to work optimally in a collaborative environment
• Completed at least one technical project (class, hackathon, or personal) involving AI, ML, data science, distributed systems, or backend infrastructure
• Familiarity with cloud environments (AWS, GCP, or Azure), including deploying or maintaining small services or apps.
• Proficiency in AI assisted code tooling like Cursor, Windsurf, Claude Code, etc.

Ways to stand out from the crowd:

• Genuine excitement towards the software you will be building.
• Experience building AI models or workflows in a technical setting or product management
• Experience in demonstrating or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
• Portfolio with projects that leverage Gen AI to solve real world problems
• Relevant contributions to OSS projects

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is transforming healthcare with AI to power the next generation of medical devices, robotics, and digital twins. We are seeking a Technical Product Marketing Manager to drive awareness and adoption of NVIDIA Isaac for Healthcare, our developer framework for healthcare robotics, and simulation technologies built on NVIDIA Omniverse. In this role, you will be responsible for the technical positioning, value propositions, and market activation strategies that show how NVIDIA simulation integrates seamlessly with AI model workflows and edge systems to deliver complete healthcare AI solutions. Your work will connect developer needs to business outcomes, enabling innovators to design, test, and deploy with greater speed, safety, and scale.

We are looking for a product marketer who will collaborate with engineering, product, developer relations, and a global ecosystem of device manufacturers, simulation ISVs, robotics companies, and startups. You’ll build high-impact narratives, field-ready enablement content, and success stories that position NVIDIA as the platform of choice for healthcare innovation, bridging deep technical proficiency with the ability to translate sophisticated workflows into compelling, market-ready content that empowers partners and field teams alike.

What we need to see:

• Lead product marketing initiatives and product launches for developer frameworks and platforms for the healthcare industry, crafting strategic launch roadmaps, materials, and initiatives
• Collaborate with diverse teams to develop valuable propositions, messaging, and assets, establishing NVIDIA in healthcare AI workflows.
• Work with NVIDIA's engineering and product teams to understand technical details and develop engaging narratives for diverse audiences.
• Author content (technical blogs, executive decks, solution briefs) that highlight NVIDIA benefits backed by benchmark data, visual demos, and reference workflows
• Develop technical sales and training toolkits (whitepapers, reference architectures, technical briefs, demo scripts) for simulation workflows

What we need to see:

• Bachelor’s degree in computer science, computer engineering, or a similar technical field, or equivalent experience
• Over 8 years of professional experience in marketing technical products, product management, or a technical capacity. Simulation experience preferred.
• Solid blend of technical expertise and business discernment – skilled at collaborating with marketing, development, and product strategy teams
• Proven experience working closely with engineering and product teams to uncover key value propositions and convey them to diverse audiences, including both technical and non-technical teams
• A portfolio that includes public-facing content (blogs, decks, ebooks, web) and/or products that you have launched
• Passion for the healthcare sector and for how NVIDIA platforms in this field advance AI for positive impact.

Ways to Stand out from the crowd:

• Direct experience with physical simulation technologies and platforms
• Track record of developing products or solutions in a technical role and then transitioning into a successful product marketing role.
• Strong knowledge and understanding of the AI and Healthcare markets
• Experience working with players who build applications with simulation technologies
• Master’s Degree, MBA or equivalent experience in Engineering or Computer Science

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are the right fit for this role, we want to hear from you! 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Demand Planning Analyst. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, deep learning, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working and creative people to help us take on some of these great opportunities. As a key member of the NVIDIA Business Operations team, you will lead all aspects of the demand planning, supply/build planning and allocation/deliveries for our Networking products!

What you’ll be doing:

• Run supply chain to balance demand v/s supply to meet company objectives. Work closely with operations to handle lead-time, capacity, and optimize supply position through-out the entire supply chain both at finished goods and key component level.
• Review forecast and create build plan with Business Unit based on demand and inventory targets. Monitor trends that impact demand forecast accuracy, develop and implement corrective action plans in response to significant variances to plan.
• Forecast the revenue stream of products in the portfolio and take actions to close revenue gap. Establish / maintain processes to assure the early/timely identification of factors and events leading to impact changes in demand projections.
• Establish allocation and complete process across to order fulfillment. Apply Configure to Order models to plan supply to improve our ability to react to the changing market demand.

What we need to see:

• BS/BA required, or equivalent experience. MBA a plus
• 8+ years of relevant systems/ semiconductor experience.
• Experience in supply chain management. An in-depth understanding of Supply Chain concepts and systems such as SAP/APO/Anaplan.
• Advanced Excel skills as well as knowledge of data base and reporting tool management.

Ways to stand out from the crowd:

• Strong analytical and reporting skills and the ability to articulate issues, ideas and solutions.
• Excellent communication skills and able to work well in a very open team environment.
• Ability to balance multiple projects and prioritize under a tight schedule

NVIDIA is widely considered to be one of the technology world’s most desirable employers with very competitive benefits. We have some of the most forward-thinking and innovative people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking an outstanding engineer to help shape the future of XR and Robotics. We seek team members who are passionate about working on hard problems, and contribute to driving innovation in teleoperation and data collection for robotics with spatial computing technologies. In this role, you will apply both system and AI knowledge, and technical leadership to scale development of NVIDIA's XR and Robotics efforts. We seek a creative, self-starting and highly productive engineering professional to help us invent the future of computing.

What you'll be doing:

• Developing human-centric data collection systems for training robotic foundation models using XR devices and peripherals.
• Developing teleoperation systems for robots using XR devices and peripherals.
• Engaging in cross platform development in C++ and python
• Diving into the core technologies behind CloudXR, Omniverse and the NVIDIA Isaac platform, exploring ways to optimize performance, reduce latency, and enhancing teleoperation and data collection efficiency.

What we need to see:

• BS/MS in Computer Science or equivalent experience
• Experience in C++ and Python
• 5+ years of XR / Robotics related experience
• Practical experience solving real world problems with at least one of: robotics, AI, distributed system, media streaming and networking.
• Experience working in large scale code bases / projects
• Phenomenal team player and collaborator

Ways to stand out from the crowd:

• Experience with tele-operation and data collection for robotics.
• Experience with XR development: augmented reality, virtual reality, or spatial computing in any form factor: glasses, headsets or smartphones.
• Background in GPU, frame-rate and latency optimization

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA, the industry leader in AI, is looking for an Early Access Partner Enablement Engineer (EAP) to work with the world's largest cloud service providers (CSPs) and their server development partners (ODMs). This exciting opportunity will expose you to the latest and greatest innovations in artificial intelligence (AI), high performance computing (HPC), and more. If you are passionate about building and developing large-scale AI platforms with industry leaders, this is the job for you! We are looking for proactive individuals with strong engineering and program management backgrounds across multiple fields who can be hands-on, detail oriented, with the ability to multitask and work in a fast-paced environment. Are you ready to make a difference? Come and join us!

What you’ll be doing:

• Help create and deploy NVIDIA’s reference AI Super Computer datacenter designs at ODM partners
• Collaborate with internal server AI Product design teams on next generation projects and product roadmaps.
• Understanding the CSP datacenter environment, including power and cooling infrastructure and be able provide guidance on what is required to support future NVIDIA designs.
• Work with internal teams and industry partners to ensure support for the CSPs infrastructure needs.
• Support CSP modification and integration questions from design through datacenter standup
• Craft and develop enablement plans documentation and process to enable the ODMs to rapidly design, and manufacture new product based on NVIDIA designs.
• Provide technical guidance and direction to the ODMs on current and future technologies. Ensuring that the ODMs have the technical and manufacturing capabilities to successfully produce these technologies.
• Understand and resolve real time issues the ODMs may encounter during the design and manufacturing process.
• Provide status updates and communicate issues internally providing recommendations as a key part of the team to help with tough trade-offs.

What we need to see:

• BS in Applied Science or Engineering (or equivalent experience)
• 7+ years in server development or program management of server development in various datacenter environments.
• Understanding of AI server tray and rack architecture, assembly, test, debug and integration into datacenters
• Strong knowledge of server high speed signaling, electrical, power, thermal, mechanical trade offs
• In depth understanding of the relevant datacenter industry partners, CSP, OEM, ODM component vendors.
• Familiarity with the Linux operating system, CLI shells, programming, and scripting.
• Background in the development or use of Diagnostic Test Software for Servers
• Strong communication, verbal, and written skills while working closely with key architects and data center deployment teams to align on product requirements.
• Experience in driving programs and projects across multi-functional teams and across companies.
• Experience in debugging and problem solving complex system issues

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us and, due to unprecedented growth, our marketing teams are rapidly growing. If you're creative and autonomous with a real passion for you work, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's System Software Security team defines and delivers the security architecture across NVIDIA's Tegra SoC platforms — from Jetson to DRIVE OS for autonomous vehicles. The team owns security-critical components including Trusted Execution Environments, security microcontroller firmware, Content protection, Secure Boot, measured boot, SELinux, and platform security hardening across multiple chip generations across multiple SoC generations. We collaborate closely with hardware architecture, firmware, OS, and partner teams (including external SoC partners) to ship security features at scale across automotive and embedded platforms worldwide.

What you'll be doing:

• Lead, mentor, and grow a team of security software engineers focused on platform security architecture and DRIVE OS security enablement
• Own the end-to-end security architecture roadmap across multiple Tegra SoC generations, defining security plan-of-record for new chip programs in close collaboration with hardware architecture, firmware, and OS teams
• Drive security feature planning, design reviews, and execution across Trusted OS, Secure Boot, measured boot, DRM, HDCP, SMMU, and SELinux
• Lead security postmortems, threat modeling sessions, and architecture reviews for new platforms
• Drive post-quantum cryptography readiness strategy including ML-DSA, EdDSA, and RSA deprecation roadmap
• Ensure compliance with automotive security standards including ISO 21434, UNECE regulation, and ASIL requirements
• Represent the security team in executive reviews, customer engagements, and external partner collaborations

What we need to see:

• BS/MS/PhD in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience
• 10+ overall years in system software, security engineering, or firmware development; 5+ years in engineering management (not a first-time manager)
• Deep expertise in TEE (OP-TEE / TrustZone), secure boot, measured boot, RiscV firmware, HSM, or SoC security architecture, including ARM TrustZone privilege models and hardware-rooted security primitives
• Proven ability to define and drive security architecture across multi-generational SoC programs
• Excellent cross-functional collaboration skills — ability to align hardware, firmware, OS, and customer teams around a coherent security strategy
• Strong track record of mentoring, developing, and recruiting engineers; experience conducting performance reviews, setting goals, and delivering constructive feedback
• Proficiency in C and C++; ability to read and review code at a meaningful technical depth
• Excellent verbal and written communication skills; ability to manage multiple priorities across concurrent programs and build consensus across teams with competing priorities
• Experience with product security practices including threat modeling, threat analysis, security risk classification, and driving remediation across engineering teams
• Understanding of AI/ML and LLM security risks — including model integrity, secure inference pipelines, adversarial robustness, and prompt injection considerations for safety-critical environments

Ways to stand out from the crowd:

• Hands-on experience with DRIVE OS, L4T, AAOS, or automotive-grade Linux platforms
• Familiarity with ISO 21434, UNECE regulation, or ASIL automotive security and safety standards
• Experience with NVIDIA Tegra security stack
• Knowledge of post-quantum cryptography (PQC) standards — ML-DSA, EdDSA, ML-KEM
• Experience with virtualization security as well as prior collaboration with SoC partners on co-developed security IP

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s Silicon Co-Design Group – Efficiency (SCGE) team is seeking a Senior AI/LLM Engineer to innovate, develop, and integrate advanced AI technologies into our design and automation infrastructure. In this role, you will architect and implement solutions that improve the efficiency, scalability, and intelligence of our workflows. The ideal candidate blends deep technical expertise with practical, hands-on experience, driving every stage of AI solution planning, design, and implementation. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!

What you'll be doing:

• Designing and implementing AI/LLM-powered systems to improve automation, design verification, and workflow efficiency.
• Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization.
• Developing and fine-tuning large language models tailored to semiconductor design and productivity applications.
• Evaluating new frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization.
• Tracking and measuring AI impact using data-driven metrics to continuously refine solutions.

What we need to see:

• MS in Computer Science, Electrical Engineering, or related field (or equivalent experience) and 8+ years of development experience, with at least 4 years focused on AI/ML, LLMs, or generative AI.
• Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Proven track record of deploying scalable AI/ML models in production.
• Ability to balance multiple simultaneous projects
• Excellent problem-solving, communication, and collaboration skills.

Ways to Standout from the crowd:

• Experience with EDA, semiconductor workflows, or design automation systems.
• Publications or open-source contributions demonstrating deep expertise in LLMs or AI infrastructure.
• Familiarity with multimodal or reinforcement learning applications.
• Ability to translate innovative AI research into practical, high-impact production tools.

NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we’re motivated by the continuous pursuit of innovation and excellence. As a Senior System Software Engineer, you’ll become a part of a top-tier team that’s advancing technology in AI, imaging solutions, and computing. Situated in Santa Clara, CA, you’ll be at the core of our ambitious projects, reshaping the future of computing. If you’re enthusiastic about groundbreaking technology and ready to make a substantial impact, this is the role for you!

We are now hiring a Systems Software Engineer for the Tegra Solutions Engineering team focusing on Camera, Multimedia and Graphics for the embedded platform architectures.

What you’ll be doing:

• Work with product teams and deliver work class platform solutions
• Collaborate with software engineers, hardware and arch teams to design, develop, validate and optimize software on NVIDIA's DRIVE self-driving platform
• Directly engage with customers and partners to productize DRIVE platforms
• Develop and maintain drivers in the camera framework to enable and bring-up camera sensors on automotive platforms
• Familiarity with imaging pipeline, debug and support Image Quality evaluations
• Optimize performance for various graphics and multimedia components in the driving platform stack
• Engage directly with customers/partners to gather requirements, to develop and to optimize their exquisite products

What we need to see:

• BS or MS in Computer Science, Computer Engineering or closely related field (or equivalent experience)
• 5+ years of hands-on experience in system software development. with 2+ years of experience on embedded systems, with focus on Imaging pipeline and/or Graphics pipeline
• Strong programming knowledge in C, C++ and Python
• Familiarity with source control systems (git, Perforce) and tools such as JAMA and JIRA
• Knowledge of Camera Sensors, ISP, Image quality, Camera Calibration and interface components like CSI, Serializers/Deserializers
• Good understanding of graphics fundamentals and GPUarchitecture.
• Good understanding of Linux, Android, or Real-time operating systems
• Experience working and interacting with customers
• Ability to adapt to new technologies and platforms

Ways to stand out from the crowd:

• Experience in Platform bring up and BSP Software
• Experience working on GPU computing or computer vision
• Background with AUTOSAR, Cert C/C++, or MISRA.
• Experience with CUDA, TensorRT
• Track record integrating and delivering functional and performant real-time and/or distributed systems

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these challenging opportunities in Autonomous Driving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for an Sr. Architecture Energy Modeling Engineer! At NVIDIA, we pride ourselves in having energy-efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs.

As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

What you'll be doing:

• Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
• Identify key design features and workloads for building Machine Learning based unit power/energy models.
• Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
• Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
• Develop methodologies to estimate data movement power/energy accurately.
• Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
• Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
• Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
• Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
• Identify, suggest, and/or participate in studies for improving GPU perf/watt.

What we need to see:

• MS (or equivalent experience) with proven experience or PhD in related fields.
• 6+ years of experience.
• Strong coding skills, preferably in Python, C++.
• Background in machine learning, AI, and/or statistical modeling.
• Background in computer architecture and interest in energy-efficient GPU designs.
• Familiarity with Verilog and ASIC design principles is a plus.
• Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
• Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
• Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
• Good verbal/written communication and interpersonal skills.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Automotive Vehicles team is searching for a creative and experienced Senior Software Engineer in Test to help us bring NVIDIA's autonomous vehicle solution out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have deadlines, customers, and competition.

What you will be doing:

• Build novel design solutions and drive execution to improve the use of end to end Simulation at scale to evaluate Autonomous Vehicle performance through test architecture and tool development.
• Lead efforts to streamline and automate the development of simulation tests from all aspects of creation, run, and analysis infrastructure.
• Build reliable and scalable infrastructure and operations that can make it easy to scale and interact with simulation tests.
• Analyze complex technical issues and independently drive resolution.
• Guide technical aspects of development of test scenario creation and usability in Simulation.
• Work closely with developers and operational teams responsible for Simulation test creation to understand their needs and improve scalability and stability of the platform.
• Collaborate across many teams, bridging needs of Autonomous Vehicle development and innovative end-to-end Simulation capabilities, applying your skills to understand and improve the modules that simulate the real world driving.
• Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.

What we need to see:

• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Experience building testing, infrastructure and test automation.
• Passion for developing software that makes others more productive.
• Experience working on Advanced Driver Assistance Systems (ADAS), Autonomous Driving, Replay testing, or Simulation environments.
• Substantial experience with Python/C++ in a software driven environment.
• Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.

Ways to stand out from the crowd:

• Experience with scaling the use of autonomous vehicles simulation frameworks.
• Background with Bazel, Docker, Jenkins.
• Experience with or knowledge of AI/ML systems, or a background in working with AI-native systems
• Experience in large-scale simulation for hardware or software validation of any robotics solution.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

NVIDIA is looking for a Senior Design Engineer for our Coherent High Speed Interconnect team!

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research! Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from substantial amounts of data - has shown to be deeply effective at solving the most sophisticated problems in everyday life.

What You'll be Doing:

• You will be working on architecture and design of our state-of-the-art high speed coherent interconnects (NVLINK-C2C) for our mobile SoCs and GPUs.
• Collaborate with architects, external partners, software engineers, and circuit designers to deliver a class leading high speed coherent interconnect.
• The NVLINK-C2C enables the creation of a new class of integrated products with NVIDIA partners, built via chiplets, allowing NVIDIA GPUs, DPUs, and CPUs to be coherently interconnected with custom silicon.
• To learn more about NVIDIA's ultra-fast chip interconnect technology visit: https://www.nvidia.com/en-us/data-center/nvlink-c2c/
• This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What We Need to See:

• BS or equivalent experience in Electrical Engineering or Computer Engineer or related degree required, advanced degrees (MS, PhD) a plus.
• 8+ years or relevant design experience
• Knowledge of industry standard interconnect protocols like PCIE, CXL, AXI, CHI will be useful.
• Understanding or experience with Link layer stacks including Data link layer and Physical layer
• Experience with physical layer of interconnects such as Memory (DDR, LPDDR etc..) , PCIE , SerDes
• Experience and knowledge in architecture, RTL design, performance analysis and power optimization.
• Strong working knowledge of Verilog or System Verilog.
• Good communication skills and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Help shape the future of AI and LLMs in FSI (Financial Services Industry) at NVIDIA! We’re looking for a Senior AI Developer Technology Engineer to push the limits of performance at the intersection of AI, high-performance computing, and financial markets! In this role, you’ll dive deep into parallel algorithms, GPUs, and sophisticated systems, identifying and eliminating bottlenecks to unlock the full power of the most advanced processing hardware in the world.

You’ll collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Would you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we would love to invite you to consider this role.

What you will be doing:

• Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
• Working hands-on with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
• Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
• Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.

What we need to see:

• Master’s or PhD in Computer Science, Computer Engineering, or Electrical and Computer Engineering (or equivalent experience).
• Strong, hands-on experience with low-level parallel programming (e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.).
• Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
• Fluency in C/C++ and solid foundations in algorithms and software design.
• 5+ years of relevant work or research experience.
• Proven experience improving the performance of large-scale computational applications on GPUs.
• Excellent understanding of linear algebra.
• Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.

Ways to stand out from the crowd:

• Experience with inference optimization techniques and deploying optimized AI models in production.
• Experience with TensorRT, TensorRT-LLM, and cuTile.
• Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
• Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations.
• Knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.

The DevTech Engineer plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate performance of their applications, design parallel algorithms and implement optimizations in a GPU accelerated computing environment. As recognized experts in the field we publish our findings in developer blogs or at relevant conferences and workshops. With insight to our customers, the industry, and academia we are important representatives of NVIDIA as a technology leader. Within NVIDIA we contribute valuable application expertise that influences next generation hardware and software products. As critical problem solvers, we deepen our expertise, expand our knowledge, and work across domains and organizations. Whether you are a leading industry luminary or early in your career, the Developer Technology Team provides ample opportunity for growth in the exciting field of GPU-accelerated computing!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we're at the forefront of innovation, driving advancements in AI and machine learning to solve some of the world’s most challenging problems. We're seeking talented and motivated engineers to join our TensorRT team in developing the industry-leading deep learning inference software for NVIDIA AI accelerators.

As a Senior Software Engineer in the TensorRT team, you will be responsible for designing and implementing inference software optimizations to power AI applications on NVIDIA GPUs. If you're ready to take on challenging projects and make a significant impact in a company that values creativity, excellence, and collaboration, we want to hear from you!

What you’ll be doing:

• Design, develop and optimize NVIDIA TensorRT and TensorRT-LLM to supercharge inference applications for datacenter, workstations, and PCs.
• Develop software in C++, Python, and CUDA for seamless and efficient deployment of state-of-the-art LLMs and Generative AI models.
• Collaborate with deep learning experts and GPU architects throughout the company to influence Hardware and Software design for inference.

What we need to see:

• BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering or a related field.
• 4+ years of software development experience on a large codebase or project.
• Strong proficiency in C++ (required), Rust or Python programming languages.
• Experience in developing Deep Learning Frameworks, Compilers, or System Software.
• Excellent problem-solving skills and passion to learn and work effectively in a fast-paced, collaborative environment.
• Strong communication skills and the ability to articulate complex technical concepts.

Ways to stand out from the crowd:

• Experience in developing inference backends and compilers for GPUs.
• Knowledge of Machine Learning techniques and GPU programming with CUDA or OpenCL.
• Background in working with LLM inference frameworks like TensorRT-LLM, vLLM, SGLang.
• Experience working with deep learning frameworks like TensorRT, PyTorch, JAX.
• Knowledge of close-to-metal performance analysis, optimization techniques, and tools.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you passionate about pushing the boundaries of AI at the intersection of the digital and physical worlds? Join our groundbreaking research team as we revolutionize the future of physical AI through groundbreaking generative models. We are now hiring Research Scientists to join our Cosmos team!

As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You'll work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life.

What you'll be doing:

• Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models
• Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems
• Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training
• Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models
• Author influential research papers to share your groundbreaking discoveries with the global AI community
• Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers
• Build lasting impact by facilitating technology transfer and contributing to open-source initiatives

What we need to see:

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development
• Strong foundation in diffusion, vision language and reasoning models and their applications
• Proven experience with reinforcement learning algorithms and implementations
• Robust knowledge of physics simulation and its integration with AI systems
• Demonstrated proficiency in 3D generative models and their applications

Ways to stand out from the crowd:

• Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
• Experience with large-scale distributed training systems
• Background in robotics or physical systems
• Open-source contributions to prominent AI projects
• History of successful research-to-product transitions

You'll be part of a team that's defining the future of Physical AI, with access to world-class computing resources and the opportunity to work on problems that matter. Your research won't just live in papers – it will be implemented in real-world systems that push the boundaries of what's possible in AI. Join us in shaping the future of AI where digital intelligence meets physical reality. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for talented Software Engineers to work on developing and deploying an AI agent that leverages machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or a related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.

What you will be doing:

• Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows.
• Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes.
• Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design.
• Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies.
• Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.

What We Need to See:

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
• 6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows.
• Strong programming skills in Python, with experience developing production-quality systems.
• Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents) to optimize processes.
• Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development.
• Strong problem-solving and collaboration skills, with the ability to translate complex design challenges into agent-driven solutions.

Ways to stand out from the crowd:

• Experience with Large Language Models (LLMs) and their applications in software and AI development
• Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.
• Deeply interested in learning disparate concepts and putting them together in innovative new ways

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an experienced network infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a networking savvy Solutions Architect to join the NVIDIA team focused on supporting accelerated networking for AI, Machine Learning, and HPC. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA’s most strategic technology customers.

What you’ll be doing:

• Working with Cloud Providers and Hyperscalers to develop and demonstrate networking solutions based on NVIDIA groundbreaking networking hardware
• Partner with Sales Account Managers to identify and secure business opportunities for NVIDIA networking products and solutions
• Work with customers on POCs for AI fabric solutions to address critical business needs
• Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions
• Provide recommendations to business and engineering teams on product strategy.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 12+ years of Solutions Architect or similar technical pre-sales roles.
• Strong sense of achievement, customer oriented demeanor, and skills to drive technical pre-sales activities
• Practical knowledge of sophisticated networking for AI data centers, including InfiniBand and Ethernet fabric topologies, RDMA protocols, host networking and switches.
• Experience with end-to-end network performance debugging - hosts, switches, and optics.
• Effective time management and capable of balancing multiple tasks
• Ability to communicate ideas clearly through documents, presentations, etc.

Ways to stand out from the crowd:

• External customer facing skills and background
• Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs and switches, as well as RDMA and TCP protocol tacks
• Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs and GPUs
• Large-scale GPU infrastructure deployments with TCP or RDMA
• Experience designing and debugging Ethernet/InfiniBand networks

NVIDIA is widely considered to be one of the technology world’s best places to work. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a Senior Solutions Architect to work with our Global Systems Integrator partners and AI consulting firms. This is a role that requires a combination of technical authority as well as good experience in managing technical partnerships. This individual will help inspire our partners to reimagine, reinvent and operate the enterprise business processes of the world's largest companies using Agentic AI using the NVIDIA platform. This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), and scalable software engineering practices.

What you'll be doing:

• Becoming an expert and enabling GSI developers to adopt NVIDIA Nemo and NIM for their Generative AI offerings, platforms and client services.
• Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously.
• Work with Business Managers to thoughtfully craft the vision, actionable and effective strategies for the group.
• Closely Partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.
• Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI.

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs
• Strong development experience with RAG and workflows building Agentic AI applications.
• Developer experience with LangChain and LangGraph orchestrating LLMs
• Working experience of Orchestration platforms like Kubernetes and datacenter including compute, storage, and networking.
• Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.

Ways to stand out from the crowd:

• Have experience leading technical teams working with partners and customers.
• Proficient developer on NVIDIA platform using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem.
• Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques
• Have a willingness and ability to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Senior Verification Infrastructure Engineer to join the SoC verification team at NVIDIA. In this role, you will build, develop, and maintain scalable verification infrastructure that enables efficient system-level verification across System level Simulations, Emulation, FPGA prototyping, and C-model environments. Your work will be foundational to ensuring correctness, performance, and quality of NVIDIA’s SoCs used across AI Datacenters, self-driving cars, robotics, and embedded platforms. This is your chance to work with innovative technology and make a significant impact on the future of computing!

What you'll be doing:

• Build and develop testbench infrastructure and associated flows for full chip level verification of NVIDIA SoCs
• Develop, combine, and support Verification IP (VIP) and reusable verification components
• Develop and improve stimulus frameworks supporting: RTL simulation, Hardware emulation, FGPA prototyping, C-model and hybrid model verification.
• Work closely with EDA vendors to co-develop and deploy new verification tooling.
• Collaborate closely with design, architecture, performance, and software teams to align verification infrastructure with evolving product requirements
• Drive best practices in verification methodology, scalability, performance optimization, and debuggability
• Support bring-up and debug of system-level test environments and flows

What we need to see:

• Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
• 8+ years in the following areas: SystemVerilog, UVM, and modern verification methodologies
• Experience working with testbenches, VIP, and reusable verification frameworks
• Hands-on experience with RTL simulation and at least one of the following: Hardware emulation, FGPA prototyping, C-model or virtual platform verification.
• Solid scripting skills in Python or Perl, or similiar for automation and tooling
• Strong debugging skills across hardware and software boundaries

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now looking for a Senior ASIC Design Engineer. NVIDIA is seeking Senior ASIC Design Engineers to implement the world’s leading SoC's, GPU's and ASIC's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing!

What you'll be doing:

• As a key member of our Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
• Analyze architectural trade-offs based on features, performance requirements and system limitations.
• Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design.
• Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.
• Work on critical designs which are integral to our LLM performance such as real-time numeric processing, data flow processing, interrupt controllers, and DMA engines.
• Architect features to help silicon debug and support post-silicon validation activities.

What we need to see:

• Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science.
• 8+ years of relevant work experience.
• Experience in micro-architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols and interconnect networks.
• Great understanding of ASIC design flow including RTL design, verification, logic synthesis, low-power design and timing analysis.
• Exposure to Digital systems and VLSI design, Computer Architecture, and Computer Arithmetic is required.
• Specific knowledge in numerics, confidential compute, dataflow architectures and CPU subsystems is a bonus.
• Strong interpersonal skills and team attitude.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a Senior Software Engineer to serve as a Tech Lead, driving the design and delivery of agentic blueprints and reference workflows, including the AI-Q Deep Researcher blueprint. This role focuses on crafting industry-leading agentic reference examples that demonstrate how enterprises can implement agentic AI at scale. The ideal candidate is an experienced technical leader with deep expertise in generative AI, distributed systems, and ability to convert proof-of-concept applications into products. You should be comfortable translating research and prototypes into robust, scalable, and maintainable systems while mentoring others to do the same.

What you'll be doing:

• Design, develop, and implement agentic AI blueprints (applications) that show enterprises how to utilize and deploy this technology.
• Lead technical reviews and provide mentorship, guiding the engineering team in building production-grade workflows and extending core GenAI SDK capabilities.
• Develop proof-of-concept workflows rooted in first principles that apply modern data science techniques to GenAI use cases.
• Collaborate cross-functionally with product, research, and infrastructure teams to evolve NVIDIA's agentic ecosystem, including integrations between the NeMo Agent Toolkit and other NVIDIA products and services such as the NeMo Framework, NIMs, and NVIDIA Blueprints.
• Drive performance optimization for agentic applications across the data center, focusing on improving accuracy, reducing latency, and growing efficiency.
• Establish engineering standards and best practices for developing, testing, and deploying agentic AI applications across distributed environments.

What we need to see:

• BS in Computer Engineering, Computer Science, Data Science, or a related field, or equivalent experience; MS or PhD preferred
• 8+ years of software engineering experience, including 2+ years as tech lead.
• Proficient in Python, with at least 6+ years of experience building Python libraries or applications for enterprise customers.
• Experience with GenAI application development using LLM frameworks (e.g., Langchain, Llamaindex, or AutoGen), evaluation systems (e.g., RAGAs), and observability platforms (e.g., Arize Phoenix, W&B Weave, or LangSmith).
• Experience using and understanding of agentic frameworks.
• Proficient in distributed orchestration and communication frameworks (e.g., Kafka, Ray).
• Ability to quickly learn and apply new technologies and libraries.
• Self-starter with a proactive work ethic, capable of working independently and successfully within a distributed team.
• Excellent communication and collaboration skills across distributed, cross-functional teams.

Ways to stand out from the crowd:

• Demonstrated leadership in building and scaling agentic AI applications in production.
• Experience developing your own agents in Python or a similar language (e.g., Go).
• Concrete examples/code of how you have profiled code in the past to identify performance bottlenecks and examples of how you mitigated these.
• Experience developing for GPU platforms and familiarity with NVIDIA technologies (e.g., CUDA, TensorRT, Triton, NeMo) and LLM serving frameworks (e.g., Dynamo, vLLM, SGLang).
• Experience with RAG systems and communication protocols (e.g., MCP, A2A).

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Robotics Research Engineer (Robotics & AI for Drug Discovery)! NVIDIA is at the forefront of the AI and robotics revolution, and NVIDIA’s robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, simulation, world models, and multimodal action models. Over the past 9 years, the lab has published 450+ scientific papers that have been presented at top robotics, AI, and computer vision conferences, with a number of these works leading to a transformative impact on robotics research and NVIDIA’s simulation/robotics products.

NVIDIA and Eli Lilly have recently announced a groundbreaking partnership to build a co-innovation AI lab to solve the hardest problems in drug discovery. The Seattle Robotics Lab is leading robotics development for this joint effort, focusing on building physical AI for wet labs with scientists in the loop. We are seeking a senior robotics research engineer to develop fundamental robotics technology and build real-world systems that can bring both automation and autonomy to molecular discovery, manufacturing, testing, and validation.

*What you will be doing:*

• Using NVIDIA Isaac Sim, Isaac Lab, and Matterix to build digital twins of robots, laboratory environments, and scientific procedures
• Using NVIDIA Newton to simulate the physics of robots, articulated rigid bodies, deformable objects, granular media, and fluids
• Developing perception pipelines for object detection, pose estimation, and tracking, leveraging multisensory inputs (e.g., RGB, depth, force/torque, tactile) and foundation models
• Translate experimental protocols into executable physical procedures and smooth, collision-free trajectories by using VLMs and developing task and motion planning pipelines
• Training robots to solve contact-rich manipulation tasks through a combination of imitation learning, reinforcement learning, and high-performance control
• Building real-world systems that perform discovery, manufacturing, testing, and validation procedures with extremely high reliability and efficiency
• Integrating these systems into real-world biological experiment workflows
• Collaborating with research scientists in the Seattle Robotics Lab to elevate early-stage research findings and integrate them into a mature automation and autonomy stack
• Collaborating with research scientists and engineers in the NVIDIA + Lilly Co-innovation AI Lab with deep expertise across a wide variety of fields (e.g., computational biology and chemistry, generative and agentic AI, bioinformatics, simulation)
• Periodically co-authoring publications on technological achievements at high-impact scientific journals and conferences

*What we need to see:*

• A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
• At least 3 years of research and engineering experience after completing the PhD; 5+ years is preferred.
• Deep knowledge of both the theory and practice of robotics and AI, with particularly strong expertise in real-world robotics applications.
• Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.
• Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.
• A track record of writing clean, high-quality code in collaboration with team members, using standard methodologies in software engineering (e.g., unit tests, version control, CI/CD).
• Fluency in modern deep learning frameworks such as PyTorch and JAX, as well as training deep learning models on GPU clusters.
• Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.
• Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems (latency, bandwidth, race conditions); and designing robust workflows for model training and evaluation.
• A willingness to embrace and experiment with rapidly-developing robotics and AI technology, such as robotics foundation models, world models, and agentic AI as well as rapidly get up-to-speed on biology and chemistry fundamentals, laboratory tasks, laboratory hardware, laboratory automation standards, and safety and regulatory constraints. Direct experience in scientific and laboratory automation is a significant plus.

*The following areas of expertise are of particular interest:*

• Bimanual manipulation
• Mobile manipulation and humanoid loco-manipulation
• Simulation, sim-to-real, and real-to-sim
• Multisensory perception (e.g., vision, force/torque, tactile)
• Task and motion planning
• Grasp and manipulation planning
• Imitation learning and reinforcement learning
• High-performance control
• Robotics foundation models

Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you! Please join us and be at the forefront of developing robotics and simulation research which can impact both NVIDIA, industry and academia!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is working to make GPU benchmarks more useful and relevant to end users. We want to hire an engineer to develop groundbreaking GPU performance benchmarks and to help make them run faster on NVIDIA hardware. If you join our team, you will continue to improve your skills with knowledge of various professional applications such as Creo, 3D Studio Max, Solidworks, as well as cutting-edge technologies such as GPU computing and generative AI. This is a dynamic area of technology, so you will have many opportunities to learn about state of the art applications. We are very passionate about graphics and benchmarking; if you share our passion, you might be the person we need.

What you'll be doing:

• We are developing new techniques to benchmark professional GPU applications.
• A key part of your job will be to analyze the API work performed by the applications, and to isolate that work to build robust performance benchmarks.
• You will help us find creative ways to script the benchmarks to ensure accuracy and repeatability.
• You will also help design and implement new driver and hardware features to improve performance on these benchmarks. Collaborate with other outstanding NVIDIA engineers to make a difference in the industry!

What we need to see:

• Pursuing BS, MS, or PhD in Computer Science or Software Engineering or equivalent experience
• Experience with C and C++ development
• Familiar with source code control software such as Perforce or GIT
• Experienced with software development practices such as design and code reviews
• Comfortable developing software in the Windows 10 or Windows 11 environment
• Experienced with AI tools and enthusiasm for learning new ones

Ways to stand out from the crowd:

• Development of low-level systems software and experience with scripting tools such as Python or Perl
• Fundamentals of statistics, including variance analysis
• Developing software on other operating systems, such as Linux or OSX
• Experience with multiple CPU architectures
• The use of graphics APIs such as OpenGL or Direct3D
• GPU compute frameworks such as CUDA or OpenCL
• Machine Learning frameworks such as PyTorch or TensorFlow

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

As a member of the Hardware Infrastructure Farm team, you will provide leadership in the design and implementation of ground breaking compute clusters that powers all silicon development across NVIDIA. We seek an expert to build and operate these clusters at high reliability, efficiency, and performance and drive foundational improvements and automation to improve engineer's productivity. As a HPC Operations Engineer , you are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow

What you’ll be doing:

• Troubleshoot incoming support requests in a large-scale HPC environment.
• Contribute enhancements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation.
• Ensure compute servers are running correct Operating System and configuration.
• Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
• Collaborate with specialist teams to drive issues to closure.
• Collaborate with domain experts to improve how our chip development process utilizes our infrastructure.
• Directly contribute to the overall quality and improve time to market for our next generation chips.

What we need to see:

• Proficient in administering Centos/RHEL Linux distributions.
• Understating of container technologies like Docker.
• Proficiency in Python and UNIX scripting languages such as bash.
• Excellent problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions.
• Excellent communication and teamwork skills, with the ability to work effectively with diverse teams and individuals.
• BS in Computer Science, similar degree (or equivalent experience) with 2+yrs of relevant post degree experience.
• Solid understanding of cluster configuration managements tools such as Ansible.

Ways to stand out from the crowd:

• Understanding of key Linux technologies such as NFS, automounter, LDAP, DNS, and TCP/IP networking in Red Hat Linux distribution flavors.
• Familiarity with job scheduler administration (e.g. IBM Spectrum LSF or SLURM) and experience building/ operating large scale compute infrastructure.
• Knowledge of the FlexLM license management system.
• Proficiency in Perl for maintaining legacy automation scripts.
• Familiarity with High-Speed Networking (InfiniBand, RDMA, RoCE etc.) and fast, distributed storage systems (Lustre, GPFS, etc.)

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people!

As a Senior Software Engineer for Developer Experience, you will be at the forefront of modernizing the engineering lifecycle by integrating Agentic AI and Machine Learning into the pipeline. Your mission is to move beyond traditional workflows by building an "intelligent" ecosystem that predicts failures, automates triage, and creates a frictionless, high-speed feedback loop for developers!

What you’ll be doing:

• Design and implement a solution for a high-signal, rapid-feedback loop to ensure developers can validate changes with speed and confidence.
• Implement tools to measure and report on  improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR).
• Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.
• Design and Develop AI agents to select change centric builds and tests.
• Design and development of developer productivity tools and infrastructure. Contribute to automating workflows and improving efficiencies.
• Design and implement AI-driven solutions across software development lifecycles to identify and eliminate systemic friction in the engineering workflow, with a primary focus on reducing waste in the CI pipelines.
• Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex engineering workflows including triaging failures and automated remediation.

What we need to see:

• BS/MS in Computer Science or related field (or equivalent experience)
• 5 + years of proven experience building or supporting large software projects or equivalent
• Hands-on experience on Python/Java/Go
• Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
• Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.
• Agentic frameworks and tools
• Knowledge of build tools like Make, Maven or Ant.
• Excellent data analysis skills and demonstrated ability to solve complex issues involving multiple software or hardware components.
• Expertise in service oriented architecture and RESTful APIs.
• Strong collaborative and interpersonal skills.

Ways to stand out from the crowd:

• Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), Agent development, MCP. Hands-on experience implementing AI solutions to solve real-world developer productivity problems.
• Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.
• Knowledge in setting up and maintaining systems monitoring and logging tools.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Senior Technical Program Manager (TPM) to join NVIDIA’s Server Engineering Operations Team. You will be the cross-section between execution and strategy, driving impactful programs and delivering measurable results across many functions of R&D Engineering Operations. NVIDIA’s enterprise server platforms have made a major impact to various fields and are universally used across leading CSPs and industry datacenters, including the world’s largest Internet companies. We need passionate, hard-working, with a can-do attitude and creative people to help us take on more of these unique opportunities in data-center solutions.

What you will be doing:

• The Technical Program Manager will have strong skills and experience in program management and engineering operations. The Technical Program Manager is encouraged to be an analytical, meticulous, effective communicator. We expect you to have the ability to work across multiple engineering teams to understand our product roadmap, as well as limitations we may encounter.
• Your ability to use historical trends, generate meaningful metrics, and stay tuned into rapid changes in product development plans will play a key role in helping Nvidia succeed by bringing world class enterprise products to market at the speed of light!
• Lead coordination, planning and execution activities for our Datacenter Server product deployments in internal development data centers. In this role you will develop and lead end-to-end project plans to improve infrastructure stability, observability, and uptime; help define and drive KPIs. Be at the intersection of engineering, operations and lab administration teams helping streamline overall engineering operations.
• Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phases.
• Opportunity to interact with diverse technical groups, spanning all organizational levels.

What we need to see:

• Proven experience and successful record of accomplishment handling sophisticated infrastructure deployments. We need solid Service Management or Engineering Operations experience.
• 10+ years of experience as a TPM or hands-on leader in a similar collaborative role involving multiple engineering teams, developing enterprise hardware products.
• Bachelor's degree in a related field, or equivalent experience
• Experience leading cross-organizational programs, effectively influencing partners and holding them accountable to goals, timelines, and deliverables
• Analytical and problem-solving experience including experience defining and collecting key metrics across projects
• We are a matrix organization. We need to see experience communicating effectively across the organization with interpersonal skills, including relationship building and collaboration within a cross-functional team!

Ways to stand out from the crowd:

• Understanding of software engineering principles, enterprise system architecture and parallel computing. Prior experience in hardware or software QA best practices
• Experience with productivity tools and process automation.
• Experience with engineering operations tools, triage, and overall methodology

NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Deep Learning Enterprise Server Platform team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We're now looking for a Senior Digital Design Verification Engineer! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join our diverse team today!

As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving. We have put together a best-in-class team that delivers IPs that will be consumed by standard as well as industry-leading proprietary high-speed protocols!

What you’ll be doing:

• Verification of the digital design, golden models and micro-architecture of the SerDes IPs using advanced verification methodologies such as UVM.
• Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology.
• Responsible for understanding the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design.
• Write and implement test plan and thoroughly verify a design in a product shipment focused / compressed schedule.
• Work with architects, designers, and pre and post silicon verification teams to accomplish your tasks.

What we need to see:

• Bachelors or Masters Degree (or equivalent experience) in Electrical Engineering, Computer Science, or Computer Engineering
• At least 5 years of validated experience.
• Background in verification at Unit/Sub-system/SOC level and expertise in SystemVerilog a must.
• Experience using random stimulus along with functional coverage and assertion-based verification methodologies a must.
• Experience in verification methodologies like UVM/VMM and exposure to industry standard verification tools for simulation and debug.

Ways to stand out from the crowd:

• Expertise in bus or interconnect protocols (e.g. PCI Express, USB, SATA) a huge plus.
• Experience in verifying complex SerDes system, understanding mixed-signal designs, and have experience in modeling of analog circuits a huge plus.
• Perl, Python, C/C++ programming language experience.
• Good debugging and analytical skills.
• Good interpersonal skills & dream to work as a phenomenal teammate.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking a highly technical Product Manager to own the evolution of NVIDIA Dynamo, our flagship distributed inference framework. In this role, you will define the roadmap for high-scale LLM and Generative AI serving, bridging the gap between cutting-edge hardware (Vera Rubin, LPU, and NVLink) and software optimizations, like disaggregated serving, KV aware routing, and intelligent KV cache management. We need a self-starter to continue growing the product portfolio and work with the customers to incorporate model evaluation into end-2-end LLM workflows. We're looking for the rare blend of technical and product skills and passion for groundbreaking technology. If this fits, we would love to learn more about you!

What you'll be doing:

• Core Dynamo Architecture: Drive the product strategy for Dynamo’s modular components, including the KV-aware Router, KV Block Manager (KVBM), and communication planes.
• Inference Orchestration: Define requirements for sophisticated routing logic that minimizes redundant prefill and optimizes Time to First Token (TTFT) across substantial GPU clusters.
• Memory & KV Cache Management: Define strategy for multi-tier KV cache offloading enabling long-context windows and high-concurrency serving without compromising user experience.
• Hardware-Software Co-Design: Collaborate with engineering to ensure Dynamo extracts maximum performance from NVIDIA hardware.
• Agentic Inference: Develop Agent-first capabilities (e.g. priority, output length, cache pinning) to support sophisticated, multi-turn reasoning.
• Ecosystem Integration: Partner with open-source communities, e.g. vLLM, SGLang, TensorRT-LLM, and internal teams (NeMo Agent Toolkit).
• Product Leadership: Author product requirements documents (PRDs) and software application designs docs (SADDs). Build for ease-of-use, extensibility, modularity. Work with TPMs to align roadmaps and respond to market trends.

What we need to see:

• 12+ years demonstrated ability in product management at a technology company, co-founder or related technical role in a startup or equivalent experience.
• Bachelors Degree in Computer Science or related field (or equivalent experience).
• Proven experience in AI inference, distributed systems, and GPU-accelerated computing.
• Deep understanding of the LLM inference lifecycle (Prefill vs. Decode), KV cache mechanics, and distributed serving techniques, like Disaggregated Serving.
• Ability to translate low-level technical capabilities into high-level business value (reduced TCO, faster TTFT).
• Teamwork and influencing skills to optimally navigate in a highly matrixed environment. At NVIDIA, your entire company is on your team!
• Empathy and deep care for your customers to build products people love.
• Pragmatic and data-driven project management skills to navigate software development lifecycle requirements, product release schedules, and customer desires and deliver quality software on schedule.

Ways to stand out from the crowd:

• Proven track record working with Agentic frameworks (LangChain, NeMo Agents) or building multi-turn, stateful AI applications.
• Knowledge of trends around LLMs and Generative AI, Responsible AI, MLOps
• Technical background and hands-on experience building AI (and LLM) solutions as an engineer. We expect you to have intuition for ML models and systems evaluation and read relevant research papers to inform your product strategy and roadmap.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now seeking a Senior Developer Technology Engineer for the Public Sector!

NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in the federal ecosystem, including fields such as CFD, Electronic Design Automation, Graph Theory, Weather/Climate Modeling, and AI in HPC. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.

What you'll be doing:

• Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications.
• Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity.
• Occasional travel from time to time for conferences and on-site visits with developers.

What we need to see:

• Have an MS or PhD degree or equivalent experience in Computer Science, Engineering or STEM field.
• Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
• 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM).
• Strong computer science fundamentals, ideally including parallel data structures and algorithms, combinatorics, and sparse representations.
• Passion for optimizing codes to run exceptionally fast through parallel programming.

​

Ways to stand out from the crowd: 

• Experience optimizing complex codes, especially for GPUs, including kernel optimization and strong understanding of how software runs on hardware. A background with algorithm and architecture codesign is a plus.
• Domain expertise in any of the following: electronic design automation, high-performance computing, computational fluid dynamics, data and graph analytics, data-science, network analysis,  machine learning, or deep learning.
• Experience in profiling and optimizing applications and frameworks including experience with Nsight Systems and Nsight Compute.
• Experience in developing or optimizing workflows involving HPC and AI models.

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!  NVIDIA is widely considered to be one of the world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.  If you are creative and like making code run as fast as possible through a combination of critical thinking, profiling, and hardware and software knowledge, we want to hear from you

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

As the Senior Director -Gen AI Data Strategy, you will own the comprehensive data strategy that fuels our most sophisticated foundation models. Data is the architecture of intelligence, moving beyond simple data fulfillment to become a visionary architect of our "data flywheel". Partner with top research scientists and engineers to identify model failure modes and bridge performance gaps through strategic data acquisition, curation, and synthetic generation.

*What You Will be doing:*

• Holistic Data Strategy & Roadmap: Define and evolve the end-to-end roadmap for multi-lingual data acquisition across various modalities (text, vision, audio, etc.) to train and evaluate large-scale AI models. Data sources include:Pre-training: Large scale knowledge-based data collection. Post-training: Planning and collecting for next generation agentic capabilities. Building a golden bench set for both academic and real world measurements.
• The Data Flywheel & Failure Analysis: Collaborate with research teams to interpret model edge cases and failure modes. Use these insights to refine data collection logic, crafting a continuous loop where model output informs the next phase of data acquisition.
• Strategic Data Acquisition: Manage an external ecosystem of data partners and vendors. Establish meticulous qualification and acceptance criteria, ensuring all licensed assets meet legal, ethical, and technical standards.
• Human-in-the-Loop (HITL) & Alignment: Lead the strategy for high-quality human data collection, including RLHF (Reinforcement Learning from Human Feedback), SFT (Supervised Fine-Tuning), and complex "human-in-the-loop" workflows to ensure model safety and alignment.
• Synthetic Data Innovation: Orchestrate the synthetic data stream used to bootstrap and amplify model fine-tuning and evaluation techniques, effectively bridging the gap between real-world scarcity and infinite scale.
• Customer & Ecosystem Engagement: Partner with Solutions Architects and enterprise customers to translate real-world deployment gaps into data priorities. Contribute to NVIDIA's open data strategy, defining benchmarks for developer adoption and dataset release.
• Quality & Governance Frameworks: Establish data quality frameworks, including de-duplication, versioning, bias detection, and ethical filtering. Lead internal policies on data privacy, consent, and transparency.

*What We Need to See:*

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related technical field (or equivalent experience).
• 18+ overall years of experience in product management or data operations specifically within the AI/ML sector at a technology company.
• 8+ years direct people management experience
• Frontier Model Knowledge: Deep understanding of LLM/VLM architectures, training regimes, and alignment methods like RLHF and RLAIF.
• Data-Centric Attitude: A "Full Stack" data perspective, with a proven track record of managing large-scale data pipelines and dealing with diverse modalities.
• Customer Empathy: Experience working directly with enterprise customers or SAs to identify product capability gaps and translating those into concrete data collection requirements.

*Ways to Stand Out From the Crowd:*

• *​​*Open Data & Ecosystem Strategy: Experience releasing public datasets or driving data-as-a-resource initiatives that activate an external developer community.
• Industry Standardization: Experience driving industry-wide standards for data formats and quality metrics.
• Tooling Proficiency: Exposure to data management and labeling platforms (e.g., Scale.ai, Labelbox) and technical tools like Python, SQL, or Spark.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 340,000 USD - 517,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a Senior Software Engineer focused on container and cloud infrastructure. You will help design and implement our core container strategy for NVIDIA Inference Microservices (NIMs) and our hosted services. You will build enterprise-grade software and tooling for container build, packaging, and deployment. You will help improve reliability, performance, and scale across thousands of GPUs. There is much more to build ahead, including support for disaggregated LLM inference and other emerging deployment patterns.

What you'll be doing:

• Design, build, and harden containers for NIM runtimes, inference backends; enable reproducible, multi-arch, CUDA-optimized builds.
• Develop Python tooling and services for build orchestration, CI/CD integrations, Helm/Operator automation, and test harnesses; enforce quality with typing, linting, and unit/integration tests.
• Help design and evolve Kubernetes deployment patterns for NIMs, including GPU scheduling, autoscaling, and multi-cluster rollouts.
• Optimize container performance: layer layout, startup time, build caching, runtime memory/IO, network, and GPU utilization; instrument with metrics and tracing.
• Evolve the base image strategy, dependency management, and artifact/registry topology.
• Collaborate across research, backend, SRE, and product teams to ensure day-0 availability of new models.
• Mentor teammates; set high engineering standards for container quality, security, and operability.

What we need to see:

• A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience.
• 6+ years building production software with a strong focus on containers and Kubernetes.
• Strong Python skills building production-grade tooling/services
• Experience with Python SDKs and clients for Kubernetes and cloud services
• Expert knowledge of Docker/BuildKit, containerd/OCI, image layering, multi-stage builds, and registry workflows.
• Deep experience operating workloads on Kubernetes.
• Hands-on experience building and running GPU workloads in k8s, including NVIDIA device plugin, MIG, CUDA drivers/runtime, and resource isolation.
• Excellent collaboration and communication skills; ability to influence cross-functional design.

Ways to stand out from the crowd:

• Expertise with Helm chart design systems, Operators, and platform APIs serving many teams.
• Experience with OpenAI API, Hugging Face API as well as understanding difference inference backends (vLLM, SGLang, TRT-LLM)
• Background in benchmarking and optimizing inference container performance and startup latency at scale.
• Prior experience designing multi-tenant, multi-cluster, or edge/air-gapped container delivery.
• Contributions to open-source container, k8s, or GPU ecosystems.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA’s System Co-Design Group (SCG) team is seeking a versatile engineer to be part of a Silicon Hardware team. You will partner with silicon validation teams to capture, interpret, and refine bring‑up platform requirements, then drive alignment and reviews with the platform design team. In this role, you will shape validation platforms that support product lines spanning artificial intelligence, consumer graphics, self‑driving cars, and other cutting‑edge technologies.

What you’ll be doing:

• Create and own methodology for deriving baseline requirements for validation platforms.
• Collaborate with cross‑functional silicon validation teams to understand justification, tradeoffs, and design constraints, and reflect them in platform requirements.
• Ensure the bring‑up platform is fully compatible with required thermal solutions, power‑delivery configurations, and platform peripherals.
• Maintain the Engineering Requirements Document (ERD) to capture and track validation platform requirements across datacenter, client, automotive, and embedded programs.
• Primary interface between silicon validation teams and platform design teams, driving alignment on requirements and final implementation.

What we need to see:

• BS or MS degree in EE/CE or equivalent experience
• Effective in a collaborative environment.
• 8+ years working in silicon bringup, platform validation, or platform design.

• Working experience in a few of the following areas:

• HSIOs like PCIE or chip-to-chip interconnects including understanding of process/temp/voltage sensitivity on BER.

• Broad exposure to a few silicon validation and bringup stages - eg: system integration testing, speed char, noise char, feature tuning, electrical validation, thermal / power controller tuning, PVT testing, HTOL, SLT.
• PCB design and/or layout
• Experience with large scale Data Center topologies across hosts, switches, retimers and end points.
• Strong EE fundamentals, knowledgeable in computer architecture, high speed interfaces, timing analysis, process variations, statistical error rates and power analysis.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you to join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Senior Software Engineer - Server Manageability! NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.

What you’ll be doing:

• Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on OOB management, firmware development, server architecture and building systems for enterprise.
• Leading BMC firmware design with a global team of engineers.
• Designing and developing performance optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM and PLDM specifications.
• Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports.
• Providing software quality reports based on static analysis, code coverage, CPU load.
• Working with security team to ensure developed code is in line with product security goals. Working closely with hardware teams to influence hardware design and review HW architecture & schematics.
• Driving definition and end to end delivery of all platforms by collaborating with internal teams, ODMs/OEMs and industry partners for AI servers.
• Working with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack.

What we need to see:

• Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc.
• Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment.
• Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for enterprise systems.
• Experience working closely with HW teams, ODMs and vendors to introduce and support server platforms.
• Experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux operating environments.
• You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems.
• Bachelor’s degree, Master’s Degree, or a PhD; in Electrical Engineering or Computer Science (or equivalent experience) and 5+ years of experience, with demonstrated strong ability as individual contributor.

Ways to stand out from the crowd:

• Contributor to industry standards like Open Compute, IPMI, DMTF Standards, and OpenBMC open source
• Proven record in delivering BMC for enterprise servers with OpenBMC firmware stack

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate open-source software libraries for GPU data processing.

As part of NVIDIA’s Analytics and Data Intelligence (ADI) team, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. You will be building the computational core for dataframe and database accelerators—highly optimized C++ and CUDA libraries that leverage the parallel nature of GPUs to accelerate operations from data loading and parsing to joins, aggregations, and more. Come bring your creativity and problem-solving skills to our open-source software suite, and you can be our next major contributor!

*What you’ll be doing:*

• Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows
• Implementing solutions in C++ and CUDA
• Contributing to open source projects, such as cuDF, Velox, Presto and Spark
• Benchmarking, profiling, and optimizing code
• Working closely with the world’s top experts in GPU hardware, software and workflows

*What we need to see:*

• 5+ years of experience in Computer Science or Software Engineering
• MS degree or PhD in computer science, engineering, or a related field (or equivalent experience)
• Strong Modern C++ programming skills
• Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc.
• You care deeply about robust, readable, high-performance code
• Excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems we have

*Ways to stand out from the crowd:*

• Familiarity with RAPIDS cuDF
• Experience in data science workflow development and debugging
• Passion for publishing your work in technical blogs and conferences.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's GPUs are at the core of modern AI infrastructure, from training large-scale models to running inference in production. That position depends on software as much as hardware, and compiler engineering is a big part of what makes it work.

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software organization. This team builds a code generation backend that connects frontend ML compilers to NVIDIA's GPU compilation and execution stack, targeting high-performance kernel generation for deep learning workloads.

What you'll be doing:

You'll work on the compiler infrastructure responsible for generating high-performance GPU kernels from frontend compiler representations. This spans the full codegen pipeline: taking in high-level graph operations, lowering them through intermediate representations, and producing efficient code targeting NVIDIA's GPU compiler backends. You may work at any layer of this stack, from the interface with compiler frontends down to the tile-level IR and code generation machinery underneath.

• Designing and implementing compiler passes, IRs, and lowering pipelines for GPU kernel generation for DL compiler and framework integration.
• Building MLIR-based transformations and compiler infrastructure connecting frontend representations to backend code generation.
• Working within and contributing to the backend compilation stack itself, including tile-based IRs and their associated optimization and lowering infrastructure.
• Performance analysis and optimization across the codegen pipeline, targeting both compute-bound and memory-bound GPU kernels against competitive baselines.
• Making architectural decisions about how the codegen backend integrates with compiler frontends, GPU libraries, and NVIDIA's broader compilation ecosystem.
• Setting technical direction for your area: scoping multi-quarter work, defining abstractions that hold up as the stack evolves, and influencing roadmap priorities.
• Collaborating across teams, including hardware architects, framework teams, library teams, and external partners.

What we need to see:

• BS, MS, or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 6+ years of relevant work or research experience in compilers, with focus on code generation, IR design, or optimization passes.
• Strong C/C++ skills, including debugging, performance profiling, and designing for maintainability.
• Ability to work independently and drive projects with increasing scope and ambiguity.
• Strong interpersonal and communication skills, including the ability to work across teams and with external partners.

Ways to stand out from the crowd:

• Hands-on MLIR experience: designing dialects, writing passes, and reasoning about abstraction boundaries in a compilation pipeline.
• Track record of owning and delivering complex compiler infrastructure end to end.
• Working experience with GPU or other high-performance accelerator architectures and execution models.
• Contributions to open-source compiler projects (MLIR, LLVM, XLA, TVM, OAI Triton).
• History of mentoring engineers and raising the technical bar on a team.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous program manager with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for an experienced software professional to contribute to design and development of accelerated and distributed implementations of Python APIs for numerical computing. In the last decade, Python has become the de-facto programming language for practitioners in AI, data science and HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch. These frameworks provide an efficient high-level programming interface, allowing their users to focus on their application while providing highly optimized implementations. NVIDIA has been at the forefront of providing GPU-accelerated implementations of the fundamental components of these frameworks.

Join our dynamic team to help develop and optimize GPU-accelerated and distributed implementations of Python numerical libraries, supporting Python-based frameworks in various ecosystems. This developer will be a crucial member of a team that is working to unlock the power of distributed GPU computing for domains such as scientific computing, data analytics, deep learning, and professional graphics, running on hardware ranging from supercomputers to the cloud!

What you will be doing:

• Work closely with product management and internal or external partners, to understand use cases and requirements, and contribute to the technical roadmaps of libraries
• Architect, prioritize, and develop accelerated and distributed implementations of numerical algorithms
• Design future-proof Python APIs for accelerated numerical/scientific computing libraries
• Analyze and improve the performance of developed APIs on various CPU and GPU architectures, especially as a part of customer-critical end-to-end workflows
• Prototype integrations of developed APIs into targeted frameworks
• Write effective, maintainable, and well-tested code for production use
• Contribute to the development of runtime systems that underlay the foundation of multi-GPU computing at NVIDIA

What we need to see:

• BS, MS or PhD degree in Computer Science, Applied Math, Electrical Engineering or related field (or equivalent experience)
• 6+ years of relevant industry experience or equivalent academic experience after BS
• Excellent Python, C++ and CUDA programming skills
• Strong understanding of fundamental numerical methods, dense and sparse array computing
• Deep familiarity with Python numerical computing libraries (e.g. NumPy, SciPy), including accelerated implementations (e.g. CuPy, Jax.NumPy, NumS, cuNumeric)
• Experience developing and publishing Python libraries, following standard methodologies for pythonic API design
• Strong background with parallel programming and performance analysis

Ways to stand out from the crowd:

• Experience using/contributing to Python libraries for data science (e.g. Pandas), machine learning (e.g. scikit-learn) and deep learning (e.g. TensorFlow, PyTorch)
• Experience with low-level GPU performance optimization
• Experience building, debugging, profiling and optimizing distributed applications, on supercomputers or the cloud
• Background with tasking or asynchronous runtimes
• Background on compiler optimization techniques, and domain-specific language design

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Would you like to be a part of one of the most exciting companies in technology?

NVIDIA the world leader in Visual and Accelerated Computing, is seeking an Enterprise Sales Account Manager with a proven track record in selling complex technology solutions to our customers within the Manufacturing industry. This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive revenue for the company. If you have a passion for how technology is driving dynamic changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Advanced Software Development, we'd like to talk with you!

What you'll be doing:

• Attain a minimum of 100% Quota attainment selling to Manufacturing Accounts located in the United States
• Maintain and submit accurate forecasts
• Present NVIDIA solutions, overcome objections, negotiate and close business over the phone, TEAMS and in person
• Team with NVIDIA Channel, Business Development, Sales Leadership & Marketing to build your business and facilitate sales opportunities
• Experience working with Startup, Mid-Market, and/or Enterprise Customers
• Work closely with partners, OEMs, CSPs, and ecosystem partners to build and implement go-to-market plans
• Lead all aspects of the selling cycle to help customers expand revenue
• Develop excellent strategic relationships with customers to understand their software and computing needs

What we need to see:

• 5+ years of sales experience with minimum of 2 of those years in an inside sales role
• 5+ years of technology quota carrying sales experience responsible for the full sales cycle (prospecting, customer presentation/demos, negotiating, and closing the sale)
• Understanding of NVIDIA key platform technologies: NVIDIA Enterprise Support (NVAIE), Generative AI/LLMs, Software (SDK/APIs), High Performance Computing (HPC), AI/ML workloads, Digital Twins
• Experience selling and having established relationships within the Manufacturing industrial vertical. Exceptional customer and channel partner relationship skills within the Manufacturing ecosystem
• Proven success in rolling up a forecast to sales leadership
• Experience with going to market and teaming with Technology Industry Channel Partners
• Excellent communication (interpersonal and presentation) and closing skills
• Skilled at selling in a Cloud environment including working with CSP, ISV, and end-user customer
• Bachelors degree or equivalent experience
• Salesforce.com experience is required. Ability to travel as needed

Ways to stand out from the crowd:

• Adept at balancing intense short-term pressures with overall long-term goals
• Educational degree related to technology, engineering, or AI/ML
• Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way. Technical Account Manager experience
• A polished executive presence with a track record of successfully growing revenue for new innovative technology-based solutions
• Demonstrated ability to sell and work in a matrix-managed team culture. Understanding of data science workflows, modern machine learning and AI trends

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 148,000 USD - 235,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

We're building the infrastructure that lets AI agents operate autonomously and securely at NVIDIA. This role owns the execution environments, state management systems, and security boundaries that make autonomous agents safe and reliable. The team designs and ships SDKs, CLIs, and developer tooling that turn complex sandboxing into a straightforward experience for agent builders and users across the company.

Today "sandbox" means different things to different teams: Docker containers, microVMs, or full virtual machines, each with different security guarantees. We need someone who can navigate these tradeoffs and build a unified developer experience on top of them. This work is greenfield! Many of the problems we're solving don't have existing industry solutions, and we want someone who is energized by that.

What you'll be doing:

The day-to-day is designing and building infrastructure that other engineers depend on:

• Architect sandboxed compute environments where agents securely execute code, access tools, and interact with external services
• Design and ship SDKs (Python, Go) and CLI tooling for provisioning and managing agent workloads in isolated environments
• Create onboarding templates, reference implementations, and CLI workflows that make secure execution the default
• Build state management for long-running agent operations, including checkpoint and recovery
• Embed security into SDK primitives like isolation policies, secrets injection, network policies, capability declarations, and kill switches
• Engineer auth integrations for workload identity, delegated tool access, and scope attenuation without static secrets
• Build observability and audit infrastructure: structured logs, decision traces, security telemetry, and audit trails wired into enterprise monitoring

What we need to see:

• BS or MS in Computer Science, Engineering, or related field (or equivalent experience)
• 8+ years building distributed systems, infrastructure, or developer platforms at scale
• Deep systems engineering skills: containers, microVMs, Kubernetes, Linux security primitives
• Track record of shipping developer SDKs or CLIs that are adopted by multiple teams
• Experience building agents using various frameworks and harnesses in enterprise context
• Proficiency in Python, Go, Rust, or similar

Ways to stand out from the crowd:

• Experience building execution environments for agentic AI systems or LLM applications that execute code autonomously
• Experience with sandboxing and isolation technologies (gVisor, Firecracker, Kata Containers, V8 isolates, or similar)
• Strong security fundamentals: threat modeling, auth, least privilege, secrets management
• Designed multi-tenant execution platforms, serverless infrastructure, or sandboxed compute at scale
• Background in durable execution patterns or checkpoint/recovery systems for long-running workloads

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior High-Performance LLM Training Engineer!

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA’s high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.

What you will be doing:

• Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
• Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.
• Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
• Build and support NVIDIA submissions to the MLPerf Training benchmark suite.
• Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
• Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

• PhD in Computer Science, Electrical Engineering or Computer Engineering and 5+ years; or MS (or equivalent experience) and 8+ years of meaningful work experience.
• Strong background in deep learning and neural networks, in particular training.
• A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.
• Proven experience analyzing and tuning application performance & processor and system-level performance modelling.
• Programming skills in C++, Python, and CUDA.

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.

Widely considered to be one of tech's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Additionally, this opportunity offers you the ability to collaborate with some of the most forward-thinking and hard-working people in the world, shaping the future of AI in a creative and autonomous work environment that encourages innovation. If you're excited to work across the full hardware & software stack—from GPU architecture to application code—to achieve optimal performance, we want to hear from you!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products!

What you'll be doing:

• Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator.
• Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.
• Study real world use-cases and identify critical application behavior and reduce to directed test cases.
• Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.
• Work with CPU and interconnect architects to improve future CPU and system designs based on your findings.
• Benchmark NVIDIA’s CPU offerings against competition and suggest software or hardware improvements.

What we need to see:

• BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
• 12+ years of relevant experience.
• Experience with CPU workloads and performance analysis.
• Knowledge of performance test development and benchmarking for CPU and I/O.
• Deep knowledge of CPU microarchitecture and system architecture.
• Experience with the ARM instruction set architecture (ISA) preferable but not required.

Ways to stand out from the crowd:

• PhD or Research experience.
• GPU driver experience.
• Knowledge of GPU-accelerated workloads and modeling performance of accelerated workloads.
• Experience with performance optimization of AI frameworks such as PyTorch.

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries — from robotics and autonomous vehicles to healthcare and climate research. With the introduction of the Grace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA’s broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA leads in tech innovation, using its computing platform and AI software to reshape industries. Seeking a Healthcare and Life Sciences GSI Developer Relations Manager for a pivotal role in our mission.

This leadership position focuses on incubating business within the Healthcare and Life Sciences ecosystem globally, with the goal of accelerating the adoption and proliferation of AI across the Healthcare and Life Sciences sectors. You will be a leader on the Healthcare and Life Sciences team, primarily focusing on Global System Integrators (GSIs), to scale our business through these strategic ecosystem partners. The role requires the ability to think strategically about the ecosystem, lead within a highly matrixed organization, drive detailed execution, and deliver sales results. The ideal candidate will bring deep domain expertise, experience in developing industry specific joint solutions and taking these to market, be well networked within the Healthcare and Life Sciences ecosystem, have deep knowledge of how GSIs operate, and have shown the ability to build trust-based relationships at all levels within an organization.

What you'll be doing:

• Lead joint solution development with major GSI partners, integrating NVIDIA AI technology into their offerings and enabling new AI services.
• Develop and complete strategic go-to-market plans with Global System Integrators (GSIs) to accelerate AI adoption and drive growth in the Healthcare and Life Sciences sector.
• Drive revenue and pipeline growth by championing NVIDIA's hardware, software, and partner ecosystem in Healthcare and Life Sciences-specific solutions.
• Collaborate cross-functionally across NVIDIA and with partners to hit targets, enable GSI teams, and advance mutual thought leadership.

What we need to see:

• Bachelor’s or Masters Degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 12+ years in complex sales or partner business management, with 10+ years managing large Global System Integrators (GSIs) globally.
• Proven ability to build and implement complex go-to-market strategies across matrixed organizations.
• Deep domain & product expertise, including developing and launching Healthcare and Life Sciences-specific joint solutions.
• Extensive knowledge of GSI operations, enterprise computing software/services, and a track record of successful joint solutioning and GTM with partners.
• Outstanding partner and customer relationship skills, with a consistent track record of influencing effectively without direct authority.
• High energy, proactive, and adaptable, with outstanding communication skills for technical and executive audiences.
• Familiarity with modern computing techniques, AI markets within the Healthcare and Life Sciences sector, and NVIDIA products/services.

Ways to stand out from the crowd:

• Expertise in Healthcare and Life Sciences AI, Machine Learning, and Deep Learning applications.
• Experience in joint solutioning (product management background is a plus).
• Track record of driving strategic growth and delivering new, customer-aligned products through partnerships.
• Experience with cloud, Generative AI, and Agentic AI.
• Proficiency in leading complex global programs and diverse customer engagements.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping — including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.

What You’ll Be Doing:

• Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.
• Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.
• Develop generalizable approaches to support diverse ODDs and Country/region expansion
• Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized
• Leverage data simulation and augmentation for solving extreme scenarios
• Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

What We Need to See:

• Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.
• Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
• Experience in data-driven development and collaboration with data and ground truth teams.
• Strong programming skills in python and/or C++.
• Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways to Stand Out from the Crowd:

• Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.
• Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
• Proven expertise in deep learning backed up by technical publications in leading conferences/journals.
• Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.

Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both static world understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and passionate about developing cloud infrastructure, we want to hear from you! NVIDIA is looking for a highly motivated and creative solutions architect with experience in network interconnect to join the NVIDIA GPU Cloud Infrastructure team.

We are seeking a Principal Solutions Architect to design, implement, and optimize high-performance network interconnect architectures supporting cloud gaming platforms. This role focuses on low-latency, high-throughput, globally distributed networking solutions that enable real-time game streaming and player connectivity across regions, data centers, and edge locations. We collaborate with many internal teams, external ISP partners, and customers to design the best quality network between NVIDIA data centers and customer devices to provide the most optimal visual experience for cloud gaming users. In this position, you will be contributing to building network infrastructure used in products like NVIDIA GeForce Now.

What you’ll be doing:

• Design and operate end-to-end network interconnect architectures for cloud gaming platforms by driving engagement with various tiers of ISPs to establish the optimal low latency packet routing paths for latency-sensitive gaming traffic.
• Drive engagement with backbone providers, IXPs, and CDN/edge partners for cost optimized and relevant IP-transit and peering networks.
• Focus on data center interconnect for multi regional edge data centers.
• Translate business requirements for the product into scalable technical architectures.
• Design traffic engineering solutions (QoS, load balancing, congestion control) involving capacity planning and scale testing.
• Ensure redundancy, failover, and high availability across interconnects
• Define observability to track metrics for latency, jitter, packet loss, and throughput.
• Ensure secure network interconnects using encryption and segmentation abiding by compliance with relevant data protection and regional regulations.
• Collaborate with internet service providers, DC operations, network engineers, cloud architects, cloud gaming backend engineers, product and operations teams and SRE.

What we need to see:

• 15+ years of experience in network engineering, cloud infrastructure, or solutions architecture
• Bachelors degree or equivalent experience
• Internet routing and ISP engagement experience

• Strong expertise in:

• TCP/IP, BGP, DNS, HTTP/2, QUIC

• High-performance networking and low-latency systems
• Experience designing large-scale distributed systems
• Hands-on experience with cloud networking services

• Experience with:

• Multi-region architectures

• IP transit and internet peering technologies.
• Data center networking

• Strong understanding of:

• Internet routing and traffic shaping

• Edge computing concepts

Ways to stand out from the crowd:

• Experience in gaming, streaming, or real-time media infrastructure
• Familiarity with game streaming protocols and encoding pipelines

Success criteria for the role is by achieving:

• Reduced end-to-end latency for game streaming by improved network reliability and uptime.

• Efficient inter-region traffic routing with scalable architecture supporting global user growth.

• Cost-optimized networking infrastructure.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Cloud Gaming, Cloud Streaming, Network Site Reliability/. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s Agentic Memory team is seeking a Senior Software Engineer with experience using, developing and researching agents in a variety of applications. You’ll join a team of researchers with deep experience in building information retrieval systems, who are now working on advancing the state of the art of agentic memory.

At NVIDIA, we’re exploring the frontier of what agents are capable of and constantly pushing to improve them. Our work builds upon the efforts of dozens of teams in the NVIDIA ecosystem and focuses on measuring and improving the performance of agentic memory. Come be a part of our world-class team building the future of agents.

What you’ll be doing:

• Designing novel benchmark tasks and evaluation methodologies that measure the effectiveness of agentic memory systems including semantic, episodic, and procedural memory across multi-session and multi-turn agent trajectories.
• Building and maintaining synthetic dataset generation pipelines that produce realistic, enterprise-relevant evaluation data at scale.
• Designing and running experiments to understand where agent memory falls short, diagnose root causes, and inform improvements.
• Developing and contributing to open-source evaluation harnesses that enable rigorous, reproducible comparison of memory system architectures.
• Partnering with teams across NVIDIA who are deploying agents to understand the role of memory in a variety of applications and help integrate improvements.
• Contributing to public-facing benchmarks and leaderboards that advance the state of the art in agentic memory evaluation.
• Integrating our work to leverage and improve the full NVIDIA software ecosystem, working across team boundaries in the spirit of extreme codesign.
• Keeping up to date with the latest developments in agentic memory across academia and industry.

What we need to see:

• Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 12+ years of experience
• Hands-on experience developing agentic systems and pipelines, with a preference for those that integrate and involve memory.
• An understanding of the state of the art in retrieval research, with a focus on agentic retrieval.
• Knowledge of best practices in batching, streaming, and scaling of large-scale data pipelines to support real-world applications.
• Excellent Python programming skills and a strong understanding of the Python deep learning ecosystem.
• An ability to share and communicate your ideas clearly through blog posts, papers, GitHub, etc.
• Excellent communication and interpersonal skills are required, along with the ability to work in a dynamic, product-oriented, distributed team. A history of mentoring junior engineers and interns is a plus.
• Candidates with a Master's, Ph.D. or equivalent experience in retrieval or multimodal research are preferred, along with a track record of publication in leading conferences like CVPR, ICLR, ICCV, ECCV, KDD, etc.

Location is flexible, and the team is remotely situated, focusing on NA/EU time zones. We are looking for candidates in any country where NVIDIA has an office, and remote work is accepted.

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with most major technology providers and support a broad range of Fortune 500 companies in their machine and deep learning needs. With deep learning, we can teach AI to do almost anything. New internet services, like Google Assistant, have learned speech from sound and provide a more natural way to access information. Self-driving cars use deep learning to recognize the space they inhabit, the lanes they drive in, and the objects to avoid. In healthcare, neural networks trained with millions of medical images can find clues in MRIs that until now could only be found through invasive biopsies.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We work with some of the most forward-thinking, versatile people in the world, and our engineering teams are growing fast in some of the most impactful fields of our generation: Artificial Intelligence, Data Science, Deep Learning. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Achieving what has never been accomplished before requires foresight, creativity, and the finest talent worldwide. As an NVIDIAN, you’ll be part of a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how you can make a lasting impact on the world!

Are you ready to join a team leading AI innovation? At NVIDIA, we revolutionize computing with our GPU technology. Our GPUs power brand-new applications in autonomous vehicles, healthcare, and voice-recognition systems. As the Product Manager for Platform Benchmarking, you will have an outstanding opportunity to help AI developers and infrastructure admins simplify their work. You will enable them to deliver next-generation AI applications magnificently.

What you'll be doing:

• Develop a product vision to encourage your team and build a product strategy to achieve it
• Collaborate with engineers and researchers to craft and architect platform software for end customers, bringing a product perspective
• Gather requirements for next-generation products, conduct competitive analysis, and incorporate customer feedback
• Define use cases, examples, and tools to convey the product value proposition to diverse audiences, from the technically savvy to novices
• Partner with engineering, build, operations, sales, and marketing teams to drive new product introductions and transitions
• Educate current and potential customers, promoting the product and its advantages
• Develop and review customer-ready collateral based on technical documents, such as whitepapers and product specifications

What we need to see:

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience
• More than 2 years of applicable professional experience in software development or product management within a technology firm
• Solid understanding of programming techniques and software development
• Proven analytical, marketing, and project management skills, with a history of successful project execution
• Excellent balance of technical and business knowledge
• Self-starter with a hands-on approach in a dynamic environment
• Outstanding communication and presentation abilities
• Passion for building extraordinary products and technologies
• Experience leading multiple projects simultaneously

Ways to stand out from the crowd:

• Skilled in software development or data engineering
• Background in Machine Learning Operations (MLOps)

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a highly motivated engineering manager to join its Software Infrastructure team. The position will be part of a dynamic crew that develops sophisticated software tools to optimize development workflow and increase overall efficiency. NVIDIA is crafting a vision of incredible user experiences in the mobile, embedded and automotive spaces by combining our groundbreaking Tegra and GPU development efforts into creative boundary pushing and genre defining products. The Infrastructure, Planning and Processes (IPP) team is a global organization within NVIDIA which helps make this vision possible by crafting and maintaining a large-scale private cloud system used for providing build and test infrastructure services for NVIDIA GPU, Mobile and Automotive Divisions. You should thrive when working in the critical path supporting thousands of developers working for billion-dollar business lines as well as intimately understand the values of responsiveness, thoroughness and teamwork.

What you’ll be doing:

• You will be managing a team of engineers and managers who design and implement applications and sophisticated CI/CD tools and workflows using open-source and Nvidia proprietary software.
• Improving the quality of existing infrastructure by designing and implementing automated monitoring and recovery systems for new and existing services.
• Evaluating, identifying and driving software solutions to optimize critical software development workflows across various organizations within Nvidia.
• Deriving critical metrics for existing and new tools and drive towards improving those.
• Collaborate with teams across the globe to drive process changes that can help improve development workflow.
• Championing and implementing efficiency and usability improvements across various teams.
• Driving automation to monitor and gain more insight into applications and system health.

What we need to see:

• Bachelor's/Master’s degree in computer science or computer engineering or equivalent experience
• 5+ years of managing DevOps organization
• 10+ overall years work experience in a software development or test organization
• Strong Python programming skills, excellent problem-solving and critical thinking abilities
• Ability to take initiatives and drive them across multiple functional teams.

Ways to stand out from the crowd:

• Experience with HTML, Javascript and SQL, NoSQL databases
• Previous experience with continuous integration tools such as Jenkins
• Knowledge of Perforce and GIT
• Experience with agile software development methodology and practices.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA’s Legal Department is looking for a dynamic attorney to join us as Patent Counsel. New team members will help build and drive NVIDIA’s patent-related intellectual property with opportunity to collaborate closely with NVIDIA’s other intellectual property, product and commercial attorneys, business leaders, outside counsel, and internal stakeholders to protect and grow our patent portfolio! By providing innovative solutions and effective guidance, the NVIDIA Legal Department helps make NVIDIA the world leader in artificial intelligence, parallel computing, and advanced processing technologies. The work we do impacts some of the most consequential mega-trends in technology today. The ideal candidate is a team player, passionate about technology, eager to learn new skills, and excited about helping NVIDIA continue to innovate and succeed.

What you'll be doing:

• Ensuring NVIDIA’s technology investments are protected by actively participating in the process of obtaining patent protection. You’ll be doing outreach and providing training, education, and counsel to internal clients on patent filing and acquisition, and freedom of action.
• Instructing and directing Outside Counsel on patent application drafting, filing, and prosecution (domestic and foreign) to ensure compliance with NVIDIA guidelines and local laws.
• Making strategic decisions to develop our patent portfolio to proactively meet emerging trends and address changing demands.
• Partnering with other members of the Legal Department on assorted intellectual property related matters, such as assertions, patent portfolio valuation and assessment during transactions and corporate mergers and acquisitions.
• Developing subject matter expertise and driving team client counseling, invention harvesting, and evaluation for specific IP-active areas.
• Participating in and providing counsel for NVIDIA contributions to Standards Setting Organizations, University Collaborations, Industry Workgroups, and Technology Conferences.
• Collaborating on development and deployment of Patent Department policies, practices, and tools.

What we need to see:

• A technical undergraduate degree (or equivalent experience), preferably a CE or Computer Science degree.
• 6+ years of experience in patent preparation and prosecution.
• A J.D. degree with a record of strong academic performance and a license to practice law in California.
• Registration to practice before the US Patent and Trademark Office.
• Outstanding interpersonal skills: written and verbal, organizational abilities, and attested attention to detail.
• Ability to navigate and break down complex legal issues into actionable advice covering a broad range of interdependent issues, balance risk with business need, and ask tough questions.

Ways to stand out from the crowd:

• Previous in-house experience in a high-tech industry with portfolio management and technology licensing.
• Experience drafting and prosecuting patent applications to issuance in: generative and applied artificial intelligence frameworks and deep learning model architectures, software engineering, chip or circuit design, advanced computing and networking technologies, and autonomous robotics and vehicles.
• A passion for innovation, technology, strategic thinking, and continuous learning.
• Foreign filing experience.
• Strong understanding of open source software and database licenses.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and if you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Deep Learning Software Team is seeking a Senior Technical Program Manager to lead software initiatives and deploy Gen AI models enabling NVIDIA’s most advanced AI researchers and engineers to create the future of computing. This leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap.

What You'll Be Doing:

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
• Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
• Report on overall program status, providing insights and recommendations to senior management and drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
• Work with multi-functional matrixed teams, guide teams designing for advanced, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions
• Act as liaison between developers and customers, between technical and non-technical audiences and cultivate a culture of continuous improvement, finding opportunities for process enhancements

What We Need To See:

• Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices
• 10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones
• Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors
• Exceptional communication and presentation skills for diverse technical and non-technical audiences with strong problem-solving and conflict management skills
• In-depth understanding of software engineering principles and quality requirements in enterprise systems and experience in AI training environments and resource capacity planning
• Strong multitasking abilities with a focus on thoroughness and rapid context switching with knowledge of agile methodologies and tools, project planning, and task tracking tools
• Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Ways To Stand Out From The Crowd:

• Background in computer science, machine learning, deep learning, open source software, and GPU technology
• Prior experience in production application software development, release and support methodology and DevOps
• Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

Deep Learning Software is looking for a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI researchers and software engineers in driving the future of deep learning. This position requires managing software programs in a highly matrixed environment using industry-leading processes to navigate an active and evolving roadmap. The TPM will work alongside senior management and coordinate efforts with partners across the company to ensure alignment and exceptional execution. They will engage closely with our software, hardware, and infrastructure teams to foster strong engineering collaborations. Furthermore, they will develop and standardize planning, reporting, and execution practices and metrics to achieve ambitious objectives in a rapidly changing environment.

What You'll Be Doing:

• Collaborate with hardware, software, and model program managers, product managers and engineering teams to deliver Deep Learning Frameworks programs on existing and new hardware.
• Engage with cross-company teams (hardware/software engineering, product, QA, compliance) and drive alignment on release scope, milestones, risk management, and dependencies.
• Guide software programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues.
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions.
• Define and implement standard processes for open-source contribution and release management within the Nvidia AI/ML ecosystem.
• Report on overall program status, providing insights and recommendations to senior management.
• Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes.

What We Need To See:

• Postgraduate degree in Computer Science, Artificial Intelligence, Mathematics or equivalent experience.
• 10+ years software program management experience including proven track record leading global projects, adaptable to multiple time zones in fast-paced software development environments.
• Proven experience with delivering large software programs, spanning multiple layers of the software stack.
• Ability to think strategically and tactically and to build consensus to make programs successful by engaging and moderating successful engagements with engineering and product teams.
• Excellent communication, technical presentation, and attention to detail skills with a shown ability to multitask in a dynamic environment with shifting priorities and changing requirements.
• Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git).

Ways To Stand Out From The Crowd:

• Experience with Deep Learning Frameworks (PyTorch, Jax, etc.), ML compilers (XLA, Triton, etc.), GPU Technology, open-source development.
• Prior experience in production software development, release management, DevOps with a consistent track record of driving process improvements and measuring efficiency.
• Exposure to NVIDIA GPU programming and software stack (CUDA Toolkit, cuDNN, TensorRT, NCCL, etc.).
• Engineering background.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

The Deep Learning Software Team is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA’s most advanced AI researchers and engineers to create the future of computing. This leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap.

What You'll Be Doing:

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
• Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
• Report on overall program status, providing insights and recommendations to senior management and drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
• Work with multi-functional matrixed teams, guide teams designing for advanced, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions
• Act as liaison between developers and customers, between technical and non-technical audiences and cultivate a culture of continuous improvement, finding opportunities for process enhancements

What We Need To See:

• Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices
• 10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones
• Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors
• Exceptional communication and presentation skills for diverse technical and non-technical audiences with strong problem-solving and conflict management skills
• In-depth understanding of software engineering principles and quality requirements in enterprise systems and experience in AI training environments and resource capacity planning
• Strong multitasking abilities with a focus on thoroughness and rapid context switching with knowledge of agile methodologies and tools, project planning, and task tracking tools
• Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Ways To Stand Out From The Crowd:

• Background in computer science, machine learning, deep learning, open source software, and GPU technology
• Prior experience in production application software development, release and support methodology and DevOps
• Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is looking to hire a deeply technical, creative, and hands-on Senior Full- Stack Software Engineer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business.

What You Will Be Doing:

• Hands-on experience with test automation, production testing, and automation frameworks
• Solid understanding of Linux, embedded systems, firmware, and hardware/software integration
• Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)
• Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications
• Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions
• Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows
• Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning
• Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability

What We Need to See:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 8+ years of experience building large-scale distributed systems and cloud-native applications (Python preferred)
• Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures
• Deep understanding of agentic AI paradigms (planning, memory, tool invocation, multi-step reasoning)
• Experience with agent frameworks and orchestration tools (e.g., LangChain or similar)
• Proven ability to design systems with high reliability, scalability, and performance
• Hands-on experience deploying applications in Kubernetes environments
• Experience building systems in cloud and hybrid environments
• Strong programming skills across multiple languages and modern software stacks
• Proven track record leading complex technical initiatives and mentoring high-performing teams

Ways to stand out from the crowd:

• Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions.
• Fascinated by unique and difficult problems - resilient and persistent in the pursuit of solutions.
• Experience with Cloud Platforms, experience with Kubernetes and Docker.
• Self-motivation and a drive to get things to “done”.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphics company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to address sophisticated challenges across diverse industries.

The Silicon Codesign Group (SCG) sits at the intersection of architecture, silicon, systems, and manufacturing—where deep engineering judgment drives real-world product performance at scale. SCG is evolving for an AI-enabled engineering environment, prioritizing how engineers think, reason, and complete tasks alongside advanced tools—not just narrow specialization.

The SCG Architecture team is hiring a Senior System–Manufacturing Co-Design Engineer to design systems and silicon features that optimize power, performance, thermal efficiency, and manufacturability across GPUs and SoCs. This role bridges architecture and manufacturing, translating product intent into scalable, testable performance while minimizing inefficiencies and cost.

Success in this role requires strong systems thinking and becoming comfortable with ambiguity. It also requires the ability to apply AI as a force multiplier while maintaining rigorous engineering judgment.

What you’ll be doing

• Architect system and silicon features to enhance performance, power efficiency, and thermal behavior.
• Drive improvements in V/F curves, Vmin, TGP, speed grading, and thermal envelopes through co-design.
• Design chip, system, and package-aware features that enhance testability, coverage, and yield.
• Define manufacturing-aware methodologies linking test, SRAM behavior, binning, and package constraints to product performance.
• Co-design test strategies and screening methods to reduce overkill, test time, and miscorrelation.
• Operate across the full lifecycle—from system architecture and pre-silicon strategy to post-silicon success.
• Translate ambiguous product requirements into executable architectures and validation plans.
• Leverage AI tools to accelerate engineering work while applying strong judgment on when to trust, verify, or override outputs.

What we need to see

• Master’s degree (or equivalent experience) in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or related field.
• 8+ years of experience in system architecture, silicon performance, manufacturing co‑design, or post‑silicon validation.
• Deep understanding of DVFS, binning, power/thermal management, and performance trade‑offs in advanced GPUs or SoCs.
• Ability to reason across circuit behavior, system constraints, and manufacturing realities.
• Comfort with hands‑on lab work as well as abstract architectural reasoning.
• Strong scripting and analysis skills (e.g., Python, Perl) for automation, modeling, and data‑driven decision making.
• Clear technical communication and the ability to document and defend engineering decisions.

Ways to stand out from the crowd

• Proven record of improving real product performance through system–manufacturing co‑optimization.
• Evidence of fast abstraction, strong pattern recognition, and deep systems thinking.
• Proof of work: architectures you’ve designed, performance problems you’ve untangled, or complex trade‑offs you’ve driven to closure.
• Ability to operate independently on hard, ambiguous problems—and collaborate clearly across functions.
• Thoughtful use of AI to increase engineering velocity without lowering the technical bar.

Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

GeForce NOW is the global leader in cloud gaming, dedicated to making high-end play accessible on any device, from smartphones to VR headsets. We leverage NVIDIA’s premier data centers to stream over 2,000 games at up to 5K resolution and 120 FPS, ensuring a local-feel experience with ultra-low latency. Joining the GFN team means playing a vital role in advancing interactive entertainment at scale.

We are looking for a Senior Manager to lead the design, scaling, and operations of high-performance networking for GPU-based cloud infrastructure. This role is critical to enabling cloud gaming workloads, AI/ML training, and inference platforms by delivering ultra-low-latency, high-throughput, and highly reliable interconnects across data centers and cloud environments.

What you will be doing:

• Build and mentor a specialized team of network architects focused on high-performance GPU infrastructure.
• Oversee the design of intra-cluster and inter-cluster connectivity, utilizing RoCE, Ethernet-based AI fabrics, and high-bandwidth data center interconnects.
• Drive technical tuning to reduce latency, jitter, and increase throughput while implementing congestion control and packet-loss mitigation strategies.
• Define the roadmap for networking strategies that support gaming, AI/ML training, and real-time inference at scale.
• Engage with ISPs to optimize low-latency edge networks and ensure a seamless connection from our data centers to end clients.
• Implement Infrastructure as Code (IaC) and observability frameworks to automate provisioning, scaling, and real-time cluster health monitoring.
• Work directly with AI platform teams, hardware vendors, and SRE groups to influence technology direction and vendor selection.
• Establish protocols for fault tolerance and lead incident response and root cause analysis for complex network issues.

What we need to see:

• 12+ overall years of proven experience in networking, cloud infrastructure, or distributed systems with 5+ years of experience directly managing technical teams.
• Mastery of data center networking, including Clos/spine-leaf architectures and high-performance fabrics like RDMA, RoCE, or InfiniBand.
• Hands-on experience with BGP, EVPN/VXLAN, and kernel-level development for routing and switching.
• Skilled in using Ansible or Terraform for infrastructure automation, paired with monitoring tools like Prometheus and Grafana.
• Practical experience designing for large-scale configurations using SR-IOV, Xen virtualization, or Open Virtual Switch.
• Bachelor’s or Master’s degree in Computer Science or a related engineering field (or equivalent experience).
• Ability to ensure all infrastructure meets rigorous internal policies and regulatory standards like GDPR.

Ways to stand out from the crowd:

• Proven success managing networking for large-scale GPU clusters or hyperscale cloud environments.
• Familiarity with optical networking and high-speed interconnects reaching 400G or 800G.
• Experience in debugging and improving code for Mellanox/Cumulus Linux or managing Palo Alto and Netscaler appliances.
• A strong grasp of streaming telemetry and operational signals (SNMP, Syslog) to proactively resolve complex architectural bottlenecks.
• Relevant top-tier certifications, such as CCIE or specialized cloud networking designations.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We work with some of the most forward-thinking, versatile people in the world, and our engineering teams are growing fast in some of the most impactful fields of our generation: Cloud Gaming, Cloud Streaming, Network Site Reliability/. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 256,000 USD - 414,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Deep Learning Software Team is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA’s most advanced AI researchers and engineers to create the future of computing. This leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap.

What You'll Be Doing:

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
• Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
• Guide engineering teams in the use of agile methodologies
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
• Report on overall program status, providing insights and recommendations to senior management
• Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
• Work with multi-functional matrixed teams
• Guide teams designing for advanced, complex, competing and often conflicting customer requirements
• Moderate technical discussions to successful conclusions
• Act as liaison between developers and customers, between technical and non-technical audiences
• Cultivate a culture of continuous improvement, finding opportunities for process enhancements

What We Need To See:

• Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices
• 10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones
• Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors
• Exceptional communication and presentation skills for diverse technical and non-technical audiences with strong problem-solving and conflict management skills
• In-depth understanding of software engineering principles and quality requirements in enterprise systems
• Strong multitasking abilities with a focus on thoroughness and rapid context switching
• Knowledge of agile methodologies and tools, project planning, and task tracking tools
• Experience in AI training environments and resource capacity planning
• Proactive in identifying and implementing efficient changes in software engineering and release management
• Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Ways To Stand Out From The Crowd:

• Background in computer science, machine learning, deep learning, open source software, and GPU technology
• Prior experience in production application software development, release and support methodology and DevOps
• Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models
• Consistent track record of driving process improvements and measuring efficiency
• A passion for sharing knowledge and experience driving complex projects end-to-end

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world. This pioneering work demands vision, innovation, and the world's best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.

We are seeking a hands-on Senior Software Engineering Manager who has a passion for cultivating high impact engineering teams to support users and systems across our worldwide production environment. This role involves leading engineers who are responsible for developing scalable, reliable, enterprise software and services. You will be instrumental in fostering a culture of automation, self-service, and clear documentation. You will be a hands -on technical leader who owns the full, end-to-end delivery of solutions including below core functions.

What you'll be doing:

• Lead and expand a team focused on designing and delivering high-quality, scalable enterprise solutions to ensure seamless employee experiences.
• Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks. Push the boundaries of what AI-assisted operations can achieve.
• Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS. Own the full stack from infrastructure to user facing tools.
• Providing hands-on technical guidance, including co-authoring, reviewing, and shipping production code.
• Leading, mentoring, and growing the team of engineers responsible for the design, build, and operation of enterprise grade software and solution.
• Defining and driving the multi-quarter roadmap for automation and AI-assisted operations and tooling.
• Planning and managing team execution, which includes project prioritization, milestone tracking, capacity planning, and ensuring on-time delivery.
• Supporting key organizational activities, including hiring, performance management, career development for the team.

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
• 6+ years of experience leading and managing high-performing engineering teams
• 12+ overall years of experience in Infrastructure, SRE, DevOps, or Production Engineering, including
• Proven track record of building and scaling teams from the ground up in a fast-paced, high-growth environment.
• Deep expertise in building software solutions and automation.
• Strong hands-on skills with infrastructure-as-code, CI/CD, containerization (Kubernetes), and cloud platforms (AWS, GCP, or Azure).
• Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty, or similar).
• Strong programming skills in Python, Go, or similar languages for automation and tooling.
• Exceptional communication skills with the ability to influence across engineering, product, and executive stakeholders.
• Exceptional ability to translate "deep tech" into business value.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Solutions Architect to join a team to engage with customers, partners, and other NVIDIA software engineers to collaborate with developers and support applications and platforms that leverage NVIDIA technology that will be adopted across all industry segments. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact and are broadly used across leading companies and start-ups. Our success has been the result of a vertical focus on industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including Hardware manufacturers and Cloud Service Providers.

We need a passionate, hardworking, and creative individual to help us pursue more of these opportunities in HPC, Machine Learning (ML), AI Physics, Foundation Modeling, Physical AI, and Agentic AI! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform industries. In addition, you will be the trusted advisor for the solutions architects on your team. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role and will give you experience with a range of partners and concerns.

This position requires a security clearance and U.S. citizenship.

What you'll be doing:

• Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
• Document what you know and teach others. This can vary from building targeted samples, to writing white papers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
• Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
• We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

What we need to see:

• Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
• 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
• Background working with modern application deployment practices including but not limited to Slurm, Docker/Containers, and Kubernetes.
• Experience with modern Generative AI and Agentic AI architecture and frameworks.
• Strong written and oral communication skills with the ability to effectively collaborate with accounts, customers, management, and engineering.  A big part of this role is educating our customers, whether that be through product roadmaps/presentations/briefings or hands-on engagement with developers.
• Experience supporting customers/partners in technical engagements.
• Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
• Strong analytical and problem-solving skills.

Ways to stand out from the crowd:

• Experience applying data science to industry problems.
• Experience using GPGPU programming and design practices.
• CUDA programming and optimization experience.
• Experience with network software development.
• Experience with AI: Published record of thought leadership in a technical area or industry segment - Deep Neural Network, Machine Learning R&D - Agentic AI, surrogate Models, or foundation models.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a deeply technical and hands-on Senior Software Engineering Manager to lead the development of next-generation AI-driven solutions on the ServiceNow platform to enhance business efficiency and productivity. This role requires strong expertise in platform architecture, full-stack development, and enterprise integrations, along with familiarity in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI.

What You’ll Be Doing:

• Drive the design and implementation of scalable, intelligent workflows and applications across ServiceNow modules such as ITSM and HRSD.
• Define architectural standards and ensure secure, scalable, and high-performing platform solutions.
• Own and manage the ServiceNow platform end-to-end, including strategy, roadmap, upgrades, and overall platform health
• Establish and enforce platform governance standards for architecture, security, scalability, and user experience
• Ensure high availability, performance, and stability of platform operations and service delivery
• Lead, mentor, and grow a global team of engineers, including internal staff and external partners
• Manage vendors and partners to ensure high-quality delivery, performance, and cost efficiency
• Drive continuous improvement, innovation, and automation to enhance efficiency and user experience

What We Need To See:

• Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
• 6+ years of experience leading and managing high-performing engineering teams
• 12+ overall years experience with enterprise architecture, IT leadership, or large-scale software engineering and platform management (including SaaS and AI/ML systems)
• Strong programming skills in Python and experience with system-level development
• Hands-on experience with test automation, production testing, and automation frameworks
• Solid understanding of Linux, embedded systems, firmware, and hardware/software integration
• Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)
• Experience with DevOps practices, CI/CD pipelines, Automated testing frameworks, and structured software development methodologies
• Proven ability to lead complex, cross-functional projects and collaborate across engineering, product, and business teams
• Strong leadership, communication, problem-solving, and analytical skills, with the ability to drive strategy, process discipline, and organizational change

Ways to stand out from the crowd:

• Experience implementing enterprise-grade governance for agent systems (controls, audit-ability, monitoring, policy enforcement) in production autonomous workflows
• Demonstrated wins taking new/open-source agent constructs from POC to production adoption, with clear business impact (cycle time, quality, cost, reliability)
• Built and scaled an agent platform or agent developer experience used by multiple teams (SDKs, templates, reference apps, reusable building blocks)
• Clear point of view and real examples on build-vs-use decisions—when to adopt OSS/3P vs build internal primitives—and how to operationalize the choice
• Deep experience with agent evaluation at scale (long-horizon tasks, tool correctness, reliability testing, automated regressions, offline/online feedback loops)

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking a Compute Kernel Performance Architect with a unique blend of skills: someone who can write, profile, and analyze CUDA kernels with a laser focus on power consumption and current draw — and who understands how those kernels interact with the GPU's Power Delivery Network (PDN) at a system level. This is not a typical performance role. You will be writing stress workloads that deliberately push GPU power to its limits, partnering with hardware architects to validate power integrity assumptions, and helping ensure that our chips survive the harshest real-world di/dt scenarios. This position is an opportunity to have real impact on the GPU power architecture of future NVIDIA products, working at the boundary of GPU architecture, software and silicon. 

*What You'll Be Doing:*

• Design and develop CUDA kernels purpose-built to enhance GPU power consumption — targeting worst-case current draw across compute, memory, and I/O subsystems
• Collaborate with hardware power architects to validate PDN assumptions, di/dt specs to appropriately target weak points
• Build and maintain a library of power stress microbenchmarks that sweep power profiles across GPU functional units — tensor cores, memory controllers, I/O interfaces — to stress PDN resonance and droop conditions across GPU families
• Analyze trade-offs between kernel throughput, power efficiency, and voltage stability, contributing insights that feed directly into future GPU architecture decisions
• Partner across teams — GPU architects, power circuit designers, silicon validation engineers — to ensure power stress methodologies are aligned from pre-silicon simulation through post-silicon bringup

*What We Need to See:*

• MS or PhD in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience)
• 5+ years of experience in GPU kernel development, CUDA programming, or high-performance computing
• Strong CUDA and C++ programming skills, with hands-on experience writing and optimizing kernels at the assembly or PTX level
• Experience with GPU performance profiling tools — Nsight Compute, Nsight Systems, nvprof, or equivalent
• Solid understanding of GPU architecture — SMs, memory hierarchy, power states, and how they map to current draw profiles
• Working knowledge of Power Delivery Networks (PDNs) — including board-level PDN design, package inductance, decoupling capacitors, and their role in voltage droop and overshoot
• Conceptual understanding of di/dt — how rapid current transitions cause voltage transients, and how software workloads can be designed to control or stress those transitions
• Strong programming skills in Python for scripting, data analysis, and automation of power characterization workflows, using vibe coding effectively
• Excellent communication skills and comfort working across hardware and software disciplines

*Ways to Stand Out from the Crowd:*

• Hands-on experience writing GPU power stress microbenchmarks — synthetic workloads designed to hit worst-case power consumption on specific GPU functional units
• Direct experience with post-silicon power characterization — measuring VDD voltage droop, di/dt slew rates, and power supply transient response using oscilloscopes, sensors, or equivalent lab tools
• Experience with DVFS, AVFS, and noise mitigation features and understanding how they interact with kernel behavior
• Knowledge of PDN impedance targets across die, package, and board domains, and how resonance frequencies map to observed voltage droop signatures

Our team works at the core of NVIDIA's GPU performance stack. We partner closely with the Compute Architecture group, Silicon Solutions, Power Architecture, and Deep Learning framework teams. Our work directly influences how future GPUs are designed — both in terms of silicon power delivery and in the software stack that runs on top of it. If you want your code to literally shape the next generation of NVIDIA hardware, this is the place.

The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Today, NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a TensorRT-LLM Software Development Engineer!

NVIDIA is hiring software engineers for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and Generative AI that have put DL at the “iPhone moment” for AI. Join the team which is building the inferencing software which is foundational to product lines within NVIDIA and across the industry! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.

What you'll be doing:

• Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance
• Perform benchmarking, profiling, and system-level programming for GPU applications.
• Closely follow academic developments in the field of artificial intelligence and feature update TensorRT
• Provide code reviews, design docs, and tutorials to facilitate collaboration among the team.
• Conduct unit tests and performance tests for different stages of the inference pipeline.
• Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams
• Write safe, scalable, modular, and high-quality (Python) code for our core backend software for LLM inference.
• Improve the usability of the TensorRT-LLM library and build systems (CMake)

What we need to see:

• Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)
• 4+ years of relevant software development experience.
• Excellent Python programming and software design skills, including debugging, performance analysis, and test design.
• Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative and recommender models
• Experience working with deep learning frameworks like TensorFlow and PyTorch
• Self-starter who consistently takes initiative to drive projects forward
• Excellent written and oral communication skills in English

Ways to stand out from the crowd:

• Prior experience with a LLM framework or a DL compiler in inference, deployment, algorithms, or implementation
• Prior experience with performance modeling, profiling, debug, and code optimization of a DL/HPC/high-performance application
• Architectural knowledge of CPU and GPU
• GPU programming experience (CUDA or OpenCL)

NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and Compute systems excite you? Interested in getting exposure to the entire DL SW stack? Come join us and help build the GPU-accelerated DL platform used worldwide.

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

GeForce NOW is Nvidia’s Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device types and capabilities—low-end PCs, Macs, or mobile devices. Using the most advanced GPUs and Nvidia proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch—just click and play! For more details, see http://www.geforce.com/geforce-now

We are looking for a Senior System Software Engineer who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. In this role, you are required to leverage a deep understanding of programming languages, distributed systems, multithreading, cloud services, and system software to design, build, and deploy system services that run in the GeForce NOW cloud. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence. We are looking for an experienced engineer to architect and deploy the production-grade AI agents that power the future of our e-commerce platform. This is a high-impact, hands-on role in which you will build autonomous systems to solve complex challenges in personalization, logistics, and customer experience. Beyond writing code, you will serve as a technical mentor, helping our broader engineering team master modern AI development practices.

What you will be doing:

• Architecting Autonomous Systems: Design and optimize production-ready AI agents using frameworks like LangChain, LangGraph, and CrewAI to handle complex, multi-step e-commerce workflows.
• Enhancing Customer Experience: Build intelligent conversational agents for order management, personalized shopping assistance, and automated support.
• Optimizing Operations: Develop agents focused on inventory forecasting, supply chain planning, and dynamic pricing models to drive business efficiency.
• Securing the Platform: Create real-time monitoring systems for fraud detection and risk assessment to protect transactions and user data.
• Building Data Pipelines: Construct robust RAG (Retrieval-Augmented Generation) pipelines and sophisticated memory management systems to provide agents with accurate, real-time context.
• Ensuring System Reliability: Implement rigorous testing, hallucination mitigation, and human-in-the-loop mechanisms to make AI behavior predictable and safe.
• Integrating Technical Stacks: Connect AI agents to our core backend services, REST APIs, and payment gateways to deliver a seamless end-to-end user experience.
• Mentoring the Team: Lead workshops, conduct pair-programming sessions, and develop reference architectures to help fellow engineers transition into confident AI contributors.

What we need to see:

• Solid Engineering Foundation: A Bachelor’s or Master’s degree in Computer Science or a related technical field or equivalent experience.
• Proven Track Record: At least 8+ years of professional software engineering experience, including 3+ years specifically building and deploying production-level LLM applications.
• Language Mastery: Expert proficiency in Python, Java, and GoLang for building high-performance backend services.
• Framework Expertise: Hands-on experience with LangChain and LangGraph is required; familiarity with AutoGen or LlamaIndex is highly valued.
• LLM Proficiency: Deep understanding of model integration (OpenAI, Anthropic, Llama), including prompt engineering, tool-calling, and ReAct patterns.
• Infrastructure Skills: Practical experience with AWS, Docker, Kubernetes, and SQL/NoSQL databases to manage scalable, containerized applications.
• MLOps Knowledge: A strong grasp of CI/CD pipelines, versioning for AI components, and observability tools for monitoring non-deterministic systems.
• Technical Communication: The ability to explain complex architectural decisions and AI concepts to both technical peers and business stakeholders.

Ways to stand out from the crowd:

• E-commerce Background: Previous experience building features for high-traffic consumer platforms or large-scale retail environments.
• Advanced AI Tooling: Practical familiarity with the Nemo Agent Toolkit or contributing to open-source agentic AI projects.
• Safety & Ethics: A background in implementing AI guardrails, bias mitigation, and security hardening for autonomous systems.
• Performance Optimization: Experience specifically building high-performance microservices designed to support heavy AI workloads.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Solution Network Architect, Enterprise Products! Join the NVIDIA Solution Architect to support Enterprise Products team as a Senior Network Architect, where your passion and expertise in networking, compute hardware, storage, and cloud-native software will be pivotal. We are on the lookout for a multifaceted professional with a profound understanding of large network design, distributed systems, and datacenter architecture. As a key member of our team, you will engage in a collaborative, multi-disciplinary approach to craft scalable datacenter implementations for enterprise-grade AI systems.

Your role involves translating high-level goals into detailed specifications for platforms and datacenter architectures, leading to the development of robust implementations. Collaborating with other specialists in compute hardware, software, and storage domains, you will be developing, validating, and profiling reference cluster designs specifically tailored for enterprise datacenter environments. At the core of our mission is the building and validation of on-prem cloud-ready solutions that seamlessly interoperate across various cloud service providers (CSPs), enabling the realization of hybrid enterprise AI solutions. If you are ready to embark on a journey that combines innovation, collaboration, and groundbreaking technology, then this opportunity is tailored for you.

What you’ll be doing:

• Own the creation of scalable datacenter solutions for enterprise AI/ML systems
• Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures
• Create and validate cluster designs, optimizing them for enterprise facilities
• Collaborate closely with other experts in compute, software, and storage to drive innovation
• Lead multi-disciplinary projects, addressing high-level goals and complex challenges
• Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers
• Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence
• Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks
• Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

What we need to see:

• Bachelor's degree or equivalent experience
• 8-10 years+ years hardware or infrastructure architecture experience
• Cluster Design Proficiency: Expertise in architecting cluster designs for on-prem cloud-native platforms
• Architectural Design Skills: Domain proficiency in advanced networking emphasizing scalability, portability, security and resilience
• Network Evaluation Expertise: Ability to evaluate diverse networks, capturing differences and conducting research on their behavior under varied workloads
• Cloud-Native Knowledge: Possess a deep understanding of cloud-native architecture concepts and practices, especially for high availability, scalability, resilience, performance, and security in the compute domain
• Networking Patterns Mastery: Understand and apply networking patterns at a chassis, rack, cluster and data center level in designing reference architectures
• Effective Communication: Talent in presenting technical concepts optimally through strong written and oral skills to both technical and non-technical audiences
• Technical Leadership in Cluster Design: Leadership in designing clusters with a technical emphasis on networking setup, network management solutions, and network specific security and remote access technologies and approaches.
• System-Level Thinking: Demonstrate a comprehensive grasp of network design, and its impact on improving the overall quality of cluster reference designs.

Ways to stand out from the crowd:

• Relevant vendor networking certifications : Hold relevant certifications such as Cisco certified, Arista Cloud Engineer (ACE) or Juniper Networks certifications
• Wider Infrastructure Expertise: Demonstrate wider experience beyond Networking in Compute, Storage, Infrastructure, Platform Sizing, and Infrastructure Cost Reduction for a broad approach to system architecture
• TCO Analysis Skills: Exhibit skills in Total Cost of Ownership (TCO) analysis specifically focused on datacenter architectures to optimize resource utilization and efficiency

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

As a key member of the NVIDIA Networking Solution Architecture team, your role involves orchestrating the conception, development, and execution of ground-breaking data center networks for NVIDIA customers under the Plan, Design, & Implement (PDI) framework. You will play an important role in advancing comprehensive technology solutions for our strategic clientele in web2.0, cloud, HPC AI, and enterprise datacenter domains. Additionally, you will be tasked with identifying areas for improvement in business technology, providing valuable insights, and furnishing recommendations to both marketing and engineering teams to improve our overall product strategy.

What you'll be doing:

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking AI solutions
• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch fabric configurations.
• Implementing tasks related to network configuration and validation for data centers.
• Create Methods of Procedure and deployment documents
• Validate network architectures and configs in the lab
• Interact with customers to obtain required information to design and build an optimal solution
• Use software tools to validate and monitor network performance

What we need to see:

• Bachelor’s degree in engineering, Computer Science, Mathematics or Physics or equivalent experience with 8+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture.
• Strong Routing hands-on experience including BGP, VxLAN and EVPN (8+ years)
• Strong Linux administration expertise (5+ years)
• Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations. (6+ years)
• Background in datacenter engineering, CLOS networking architecture, or cloud applications is advantageous (4+ years)
• Requires understanding of system-level issues, Linux OS, kernel drivers, PCIe devices, and computer hardware architecture.
• Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.
• Experience with AI tools to improve work quality and meet project deadlines
• Strong interpersonal skills, strong abilities with technical presentations, providing internal and customers training.
• Ability to travel domestic up to 10% of the time

Ways to stand out from the crowd:

• Combination of strong interpersonal skills and technical proficiency
• Demonstrate excellent teamwork and accountability for results.
• Understand networking fundamentals, including "life of a packet" as it traverses through a data center
• Familiarity with networking digital simulations, experience with NVIDIA Air, GNS3, EVE-NG

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking a Generative AI Specialist to join our Advanced Technology Partner (ATP) team as a Senior Solutions Architect who thrives at the intersection of deep technical work and real-world enterprise impact. In this role, you will act as a trusted technical advisor and hands-on creator for NVIDIA's most sophisticated AI partners. You will lead groundbreaking prototyping and proof-of-concept collaborations that connect partners with key customers to accelerate the transition from concept to production. This outstanding position encourages you to scope, compose, build, and tackle challenges alongside partners to leave behind reusable assets and validated solutions. If you want to develop how the world’s top organizations adopt and deploy AI at scale, we want to meet you!

What you'll be doing:

• Function as the chief technical representative for advanced AI partners, handling detailed technical interactions and synchronizing their roadmaps with NVIDIA's platform and emerging technology.
• Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures that guide partners from initial concept to production-ready handoffs.
• Architect and build enterprise-grade agentic AI systems, RAG pipelines, and multi-modal workflows, ensuring high-performance, GPU-accelerated inference at scale.
• Diagnose and resolve intricate system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment.
• Produce reusable technical assets, including implementation guides and benchmarks, that accelerate time-to-value for both partners and their customers.
• Collaborate with NVIDIA’s internal engineering, research, and product teams to resolve critical partner issues and speed up shared success.
• Champion team guidelines for technical reviews and discovery, while mentoring new members and participating in hiring panels to expand the team’s depth.
• Commit to continuous professional growth through formal AI/ML certifications and special projects that elevate your value within the NVIDIA ecosystem.

What we need to see:

• 8+ years of relevant engineering experience crafting, developing, and deploying AI/ML systems and complex LLM-powered workflows, with a strong software or ML engineering foundation.
• Strong proficiency in advanced GenAI and LLM approaches, including proprietary vs. open model selection, retrieval-augmented generation (RAG), prompt engineering, and production inference optimization.
• Familiarity with agentic AI standards (LangGraph, LangChain, MCP) and expertise in multimodal AI systems including vision-language models and audio/video workflows.
• Hands-on experience with fine-tuning (PEFT, LoRA), synthetic data generation, and implementing automated AI evaluation frameworks to measure quality and safety.
• Strong command of GPU-optimized infrastructure (Docker, Kubernetes), microservices, and MLOps pipelines for automated training and distributed inference.
• Experience with AI observability (trace logging, latency monitoring) and a solid understanding of responsible AI, including guardrails, data governance, and regulatory considerations (HIPAA, GDPR).
• Experience connecting cloud and on-premises deployments, hybrid architectures, and familiarity with Physical AI concepts such as simulation environments and edge inference.
• Proven ability to communicate complex technical concepts to diverse audiences and experience in technical engagement roles involving discovery and requirements gathering.
• MS or advanced degree in Computer Science, AI, or a related field—or equivalent experience.

Ways to stand out from the crowd:

• Proven track record of leading enterprise AI prototyping engagements — prioritizing, architecting, building, and solving POCs and pilots in complex customer or partner environments.
• A tangible body of work demonstrating your builder foundation: open-source contributions, publications, patents, recorded talks, technical blogs, or equivalent public artifacts.
• Skilled in NVIDIA's AI software suite including NVIDIA AI Enterprise (NVAIE), NIM inference microservices, NeMo, NeMo Curator, Nemotron model family, NVIDIA Blueprints, TensorRT, Triton Inference Server, CUDA libraries, and NVIDIA Agent Intelligence toolkit (NAI/NAT). Knowledge of new NVIDIA frameworks like NemoClaw/OpenShell.
• Experience with Physical AI platforms including NVIDIA Omniverse, Isaac Sim, Jetson edge computing, or involvement in production robotics/autonomous systems implementations.
• Active participation in the AI community: conference presentations, open-source project leadership, or recognized expertise in a specific GenAI domain.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

As part of the growing Developer Tools team, you will work on tools like Nsight Operator, Nsight Cloud, Nsight Systems, and more. Our work is based on years of expertise collecting detailed trace and sampling data, which we now apply to the ever growing in complexity cloud and cluster profiling use cases. The position includes elements of systems design, frontend and backend development, and working across the full product feature lifecycle: from prototypes to user demos.

What you will be doing:

• Join the Developer Tools team as a senior software engineer to work on profiling tools within the growing Nsight family.
• Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments.
• Communicate across multiple teams to collect and understand the requirements, user needs, and expectations. Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users.
• Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.
• Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.

What we need to see:

• Excellent problem solving, collaborative, and interpersonal skills. Experience working in distributed teams is welcome.
• Ability to work across the full stack, including the server side code in Python and frontend code in JavaScript.
• Fluency in C++ and Python.
• Track record of working with Kubernetes and in distributed environments.
• Strong understanding of algorithms and computer architecture.
• BS or MS in EE, CE, CS, Systems Engineering (or equivalent experience)
• 5 years of experience in a related software position.

Ways to stand out from the crowd:

• Experience with GPUs, CUDA, HPC, clusters, networking, and performance optimization in cloud environments.
• Participation in deployment and maintenance of microservices.
• Experience building web APIs, familiarity with GraphQL.
• Proficiency with Datadog, ClickHouse, and Grafana for observability, analytics, and dashboarding.
• Experience working in programming languages like Go and Rust.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Solutions Architect to join a team to engage with customers, partners, and other NVIDIA software engineers to collaborate with developers and support applications and platforms that leverage NVIDIA technology that will be adopted across all industry segments. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact and are broadly used across leading companies and start-ups. Our success has been the result of a vertical focus on industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including Hardware manufacturers and Cloud Service Providers.

We need a passionate, hardworking, and creative individual to help us pursue more of these opportunities in HPC, Machine Learning (ML), AI Physics, Foundation Modeling, Physical AI, and Agentic AI! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform industries. In addition, you will be the trusted advisor for the solutions architects on your team. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role and will give you experience with a range of partners and concerns.

This position requires a security clearance and U.S. citizenship.

What you'll be doing:

• Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
• Document what you know and teach others. This can vary from building targeted samples, to writing white papers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
• Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
• We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

What we need to see:

• Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
• 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
• Background working with modern application deployment practices including but not limited to Slurm, Docker/Containers, and Kubernetes.
• Experience with modern Generative AI and Agentic AI architecture and frameworks.
• Strong written and oral communication skills with the ability to effectively collaborate with accounts, customers, management, and engineering.  A big part of this role is educating our customers, whether that be through product roadmaps/presentations/briefings or hands-on engagement with developers.
• Experience supporting customers/partners in technical engagements.
• Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
• Strong analytical and problem-solving skills.

Ways to stand out from the crowd:

• Experience applying data science to industry problems.
• Experience using GPGPU programming and design practices.
• CUDA programming and optimization experience.
• Experience with network software development.
• Experience with AI: Published record of thought leadership in a technical area or industry segment - Deep Neural Network, Machine Learning R&D - Agentic AI, surrogate Models, or foundation models.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an outstanding Solutions Architect, Foundation Models to join our growing team focused on partner enablement for reasoning models, multimodal models, and production inference! In this role, you will act as both a strategic technical expert and a hands-on advisor, helping partners build, benchmark, fine-tune, optimize, and deploy foundation model solutions for customer workloads.

The Partner Solutions Architecture team acts as a trusted advisor to the ecosystem. We enable partners to translate customer requirements into architectures, benchmark recipes, cluster test plans, compute sizing, and production readiness—accelerating time to value through the full-stack accelerated computing platform.

What you'll be doing:

• Serve as the lead technical advisor for partners delivering reasoning, multimodal, fine-tuning, and model-serving solutions.
• Guide partners to the right approach for customer workloads across fine-tuning, distillation, quantization, compression, benchmarking, and evaluation.
• Define benchmark plans, synthetic data and evaluation workflows, and repeatable validation recipes.
• Advise on compute planning, including cluster sizing, GPU and network selection, storage, memory tradeoffs, latency and throughput targets, and production-readiness testing.
• Guide inference architecture across prefill and decode tradeoffs, batching, routing, disaggregated inference, and serving efficiency.
• Develop reference architectures, playbooks, benchmark recipes, TCO calculators, and sizing models across CUDA, NeMo, Nemotron, Dynamo, TensorRT-LLM, Triton, NIMs, and related tooling.
• Support pre- and post-sales engagements by translating complex model and infrastructure topics for partner and customer teams.

What we need to see:

• MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
• 5+ years of relevant experience working with LLMs, VLMs, and large-scale inference systems, with hands-on expertise in fine-tuning, benchmarking, evaluation, optimization, and production deployment as a Research Engineer, Deep Learning Engineer, or equivalent.
• Strong understanding of foundation models across data preparation, fine-tuning, post-training, evaluation, and inference.
• Familiarity with reasoning models, reinforcement learning, and synthetic data generation and evaluation workflows.
• Strong programming skills in Python and hands-on experience with PyTorch, JAX, or TensorFlow.
• Familiarity with Nemotron, NeMo, Dynamo, TensorRT-LLM, Triton, vLLM, and similar inference and optimization stacks.
• Strong communication and presentation skills, with the ability to advise both technical teams and executives.

Ways to stand out from the crowd:

• Experience helping partners or customers deploy large-scale AI systems in production.
• Built benchmark suites, fine-tuning recipes, sizing calculators, or TCO models for AI workloads.
• Strong knowledge of GPU infrastructure, including NVLink, InfiniBand, MPI, NCCL, or adjacent cluster technologies.
• Active OSS contributions in model tooling, inference, evaluation, or performance optimization.
• Comfortable moving between deep technical reviews, architecture guidance, benchmarking, and partner enablement.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are seeking a Generative AI Specialist to join our Advanced Technology Partner (ATP) team as a Senior Solutions Architect who thrives at the intersection of deep technical work and real-world enterprise impact. In this role, you will act as a trusted technical advisor and hands-on creator for NVIDIA's most sophisticated AI partners. You will lead groundbreaking prototyping and proof-of-concept collaborations that connect partners with key customers to accelerate the transition from concept to production. This outstanding position encourages you to scope, develop, build, and solve challenges alongside partners to leave behind reusable assets and validated solutions. If you want to develop how leading organizations around the globe adopt and deploy AI at scale, we want to meet you.

What you'll be doing:

• Partner Alignment: Serve as the main technical contact for sophisticated AI collaborators, leading in-depth technical relationships and coordinating their roadmaps with NVIDIA's platform and emerging technology.
• Architectural Leadership: Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures that guide partners from initial concept to production-ready handoffs.
• Applied AI Engineering: Build and architect enterprise-grade agentic AI systems, retrieval-augmented generation (RAG) pipelines, and multi-modal workflows, delivering high-performance, GPU-accelerated inference at scale.
• Technical Problem Solving: Diagnose and resolve intricate system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment.
• Scalable Asset Creation: Produce reusable technical assets, including implementation guides and benchmarks, that accelerate time-to-value for both partners and their customers.
• Multi-functional Collaboration: Work alongside NVIDIA’s internal engineering, research, and product teams to resolve critical partner challenges and speed up shared achievements.
• Team Growth and Practice Building: Champion team guidelines for technical reviews and discovery, while mentoring new members and participating in hiring panels to expand the team’s depth.
• Continuous Innovation: Commit to continuous professional growth through formal AI/ML certifications and special projects that elevate your value within the NVIDIA ecosystem.

What we need to see:

• 8+ years of relevant engineering experience crafting, developing, and deploying AI/ML systems and sophisticated LLM workflows.
• MS or advanced degree in Computer Science, AI, or a related field—or equivalent experience.
• Deep proficiency in advanced GenAI techniques, including retrieval-augmented generation (RAG), prompt engineering, and production inference optimization.
• Familiarity with agentic AI standards and expertise in building robust, production-grade multi-agent and multimodal architectures.
• Hands-on experience with model fine-tuning (PEFT, LoRA), synthetic data generation, and building automated evaluation frameworks.
• Strong command of GPU-optimized infrastructure, containerization, and MLOps pipelines for distributed training and inference.
• Understanding of AI observability and responsible AI practices, including guardrail implementation and regulatory compliance like GDPR or HIPAA.
• Experience bridging cloud and on-premises deployments and familiarity with Physical AI concepts such as edge inference.
• Proven track record of communicating complex technical concepts to both developer teams and executive stakeholders.

Ways to stand out from the crowd:

• A tangible body of work demonstrating your builder foundation: open-source contributions, publications, patents, recorded talks, technical blogs, or equivalent public artifacts.
• Skilled in NVIDIA's AI software suite including NVIDIA AI Enterprise (NVAIE), NIM inference microservices, NeMo, NeMo Curator, Nemotron model family, NVIDIA Blueprints, TensorRT, Triton Inference Server, CUDA libraries, and NVIDIA Agent Intelligence toolkit (NAI/NAT). Knowledge of new NVIDIA frameworks like NemoClaw/OpenShell.
• Experience engaging with Physical AI platforms like NVIDIA Omniverse, Isaac Sim, Jetson edge computing, or in production robotics/autonomous systems implementations.
• Active participation in the AI community: conference presentations, open-source project leadership, or recognized expertise in a specific GenAI domain.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an outstanding Applied AI Builder, Enterprise Agent Systems to join our team building production-grade AI applications for the enterprise. In this role, you will lead by example as both a hands-on developer and technical expert, building proof-of-concept solutions, reference architectures, and deployable single-agent and multi-agent systems that solve real business problems.

The Partner Solutions Architect team is dedicated to enabling ecosystem partners to build category-defining enterprise AI systems. We work across application design, orchestration, integrations, observability, and deployment to help enterprise developers to move from prototype to real-world impact using NVIDIA accelerated computing platforms. We welcome builders from all backgrounds who want to ship applied AI systems that perform reliably at scale.

What you'll be doing:

• Build applied AI applications and agentic systems that solve real enterprise problems across functions and industries
• Design single-agent and multi-agent workflows for tool use, retrieval, memory, planning, handoffs, and human-in-the-loop execution.
• Build full-stack systems that move from prototype to secure production deployment, including APIs, orchestration, observability, evaluation, identity, and rollback.
• Integrate with enterprise systems such as document stores, internal tools, codebases, data platforms, workflow engines, and business applications.
• Use coding agents such as Codex, Claude Code, Open/NemoClaw, or similar OSS tools as part of implementation, testing, debugging, refactoring, and release workflows to scaling partners.
• Define evals and feedback loops—including synthetic data generation and synthetic evaluation where useful—for task completion, reliability, latency, safety, cost, and measurable business impact.
• MS or PhD degree in Computer Science/Engineering, Machine Learning, Data Science, Electrical Engineering or a closely related field.

What we need to see:

• MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
• 5+ years of relevant work experience in developing and deploying AI models at scale as a Software Engineer or Deep Learning engineer or Solutions Architect
• Evidence that you have built and shipped applied AI applications, enterprise copilots, agentic workflows, or automation systems that people actually use.
• Strong understanding of foundation model behavior in real systems, including prompting, context engineering, retrieval, tool use, fine-tuning tradeoffs, and evaluation.
• Real experience with multi-agent workflows, orchestration patterns, or complex long-running task systems.
• Strong programming skills in Python plus at least one of TypeScript, Go, Rust, or C++.
• Experience with synthetic data generation and evaluation, including synthetic tasks, traces, or test corpora used to improve coverage, quality, or robustness.
• Familiarity with GPU-backed inference systems, performance tradeoffs, and cost-quality tradeoffs.
• High agency, strong ownership, and a bias toward shipping.

Ways to stand out from the crowd:

• Meaningful OSS contributions in agents, enterprise integrations, evals, observability, or developer tooling.
• Experience deploying AI systems into enterprise, security-conscious, or regulated environments.
• Experience with secure execution, sandboxing, permissioned tool use, secrets handling, or auditability.
• Strong examples of multi-agent coordination in production.
• Familiarity with MCP, A2A-style communication patterns, or advanced agent interoperability.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we believe that accelerated computing is the key to solving the world’s most significant scientific challenges. We are looking for a Solutions Architect to join our Higher Education and Research Team, where you will serve as a technical partner to the visionaries shaping the future of discovery!

In this role, you will be an integral part of a team not only supporting higher education universities, but also be one of the experts concentrating support for research institutes across the nation. You will help with technical aspects around foundational model training, while also helping developers harness AI and high-performance computing to achieve breakthroughs in flagship areas such as accelerating fusion energy or real time observation of molecular dynamics to speed up medicine and material design. If reading this gets you excited and energized to be on a team finding the solutions to these scientific problems then we would love to meet you.

What you'll be doing:

• Partner with research universities to co-create innovative solutions with NVIDIA’s platform and breakthrough discoveries across academia, industry and government
• Collaborate with engineering, product, and business teams to align NVIDIA’s technical roadmap with the evolving strategies and complex workflows of the scientific community
• Engage with developers and researchers to architect ground-breaking solutions in complex domains like computational physics, quantum computing, or molecular science, pioneering the next generation of Scientific Foundation Models!
• Profile and optimize the performance of training/inferencing large-scale AI models to ensure that sophisticated applications reach full potential on accelerated systems
• Travel requirement up to 20%.

What we need to see:

• MS or PhD in Computer Science, Computational Physics, Computational Chemistry, or a related field (or equivalent experience).
• 8+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs
• A passion for solving the toughest scientific challenges.
• Experience porting and/or optimizing scientific applications targeting GPUs
• Strong fundamentals in programming and software design, especially in Python and C++
• Strong problem-solving and debugging skills
• Excellent knowledge of theory and practice of AI at scale
• A dedication to clear and inclusive communication with a deep desire to partner with the academic community to help others succeed in their research goals.

Ways to stand out from the crowd:

• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Experience working with academic research community supporting HPC or AI
• Familiarity with distributed computing platforms, containers and scheduling tools
• Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, communication libraries and runtime (MPI, NCCL, UCX, NVSHMEM)
• A genuine curiosity about distributed computing, containers, and orchestration to help researchers manage the complex infrastructure.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

As a member of the NVLink ASIC Design team, located in Westford, MA, you will work with a worldwide team of architects and engineers dedicated to raising the bar for high speed chip to chip communication. We are a fast-paced, energetic team dedicated to meeting the customer requirements emerging from the datacenter marketplace.

What you’ll be doing:

• Engaging in and support the design and development of NVIDIA’s next generation NVLink protocol.
• Participating in microarchitecture development and document specifications.
• Implementing in RTL and debug working with the verification team to ensure that the design is functional and performant.
• Applying logic design skills to optimize and meet performance and power goals.
• Delivering a synthesis/timing clean design while working with the physical design team to ensure a routable and physically implementable design.
• Supporting hardware engineering activities including chip floor plan, power/clock distribution, timing closure, power and noise analysis, and back-end verification.
• Developing flows and tools as necessary in support of design activities.

What we need to see:

• Bachelors Degree in EE, CS or CE (or equivalent experience)
• Strong working knowledge of Verilog or System Verilog
• Project and/or design experience with high speed (>1GHz) design.
• Project and/or design experience with low power design methodologies.
• Strong collaboration and communication skills

Ways to stand out from the crowd:

• Internships and/or project experience with Verilog/system verilog.
• Background with low power design methodologies
• Experience with high speed design methodologies

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come join our design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an outstanding Solutions Architect, Foundation Models to join our growing team focused on partner enablement for reasoning models, multimodal models, and production inference! In this role, you will act as both a strategic technical expert and a hands-on advisor, helping partners build, benchmark, fine-tune, optimize, and deploy foundation model solutions for customer workloads.

The Partner Solutions Architecture team acts as a trusted advisor to the ecosystem. We enable partners to translate customer requirements into architectures, benchmark recipes, cluster test plans, compute sizing, and production readiness—accelerating time to value through the full-stack accelerated computing platform.

What you'll be doing:

• Serve as the lead technical advisor for partners delivering reasoning, multimodal, fine-tuning, and model-serving solutions.
• Guide partners to the right approach for customer workloads across fine-tuning, distillation, quantization, compression, benchmarking, and evaluation.
• Define benchmark plans, synthetic data and evaluation workflows, and repeatable validation recipes.
• Advise on compute planning, including cluster sizing, GPU and network selection, storage, memory tradeoffs, latency and throughput targets, and production-readiness testing.
• Guide inference architecture across prefill and decode tradeoffs, batching, routing, disaggregated inference, and serving efficiency.
• Develop reference architectures, playbooks, benchmark recipes, TCO calculators, and sizing models across CUDA, NeMo, Nemotron, Dynamo, TensorRT-LLM, Triton, NIMs, and related tooling.
• Support pre- and post-sales engagements by translating complex model and infrastructure topics for partner and customer teams.

What we need to see:

• MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
• 5+ years of relevant experience working with LLMs, VLMs, and large-scale inference systems, with hands-on expertise in fine-tuning, benchmarking, evaluation, optimization, and production deployment as a Research Engineer, Deep Learning Engineer, or equivalent.
• Strong understanding of foundation models across data preparation, fine-tuning, post-training, evaluation, and inference.
• Familiarity with reasoning models, reinforcement learning, and synthetic data generation and evaluation workflows.
• Strong programming skills in Python and hands-on experience with PyTorch, JAX, or TensorFlow.
• Familiarity with Nemotron, NeMo, Dynamo, TensorRT-LLM, Triton, vLLM, and similar inference and optimization stacks.
• Strong communication and presentation skills, with the ability to advise both technical teams and executives.

Ways to stand out from the crowd:

• Experience helping partners or customers deploy large-scale AI systems in production.
• Built benchmark suites, fine-tuning recipes, sizing calculators, or TCO models for AI workloads.
• Strong knowledge of GPU infrastructure, including NVLink, InfiniBand, MPI, NCCL, or adjacent cluster technologies.
• Active OSS contributions in model tooling, inference, evaluation, or performance optimization.
• Comfortable moving between deep technical reviews, architecture guidance, benchmarking, and partner enablement.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. GPU deep learning ignited the modern AI era — with NVIDIA hardware and software acting as the foundation for the world’s most ambitious AI, robotics, and autonomous systems workloads. Today, we are the AI computing company. NVIDIA Data Center Systems — including DGX, HGX, and MGX platforms — deliver the world’s leading infrastructure for AI at scale. We are growing our teams with the most thoughtful, creative, and driven people on the planet.

We are looking for a Software Engineering Manager to lead a team building security-critical root-of-trust (RoT) firmware for NVIDIA Data Center Systems. This firmware sits at the deepest layer of platform trust — establishing hardware-rooted security for boot integrity, cryptographic attestation, and secure lifecycle management across NVIDIA’s next-generation data center compute platforms.

Your team is distributed across multiple time zones, with highly experienced individual contributors who operate with a significant degree of autonomy. Your role is not to micromanage — it is to set clear direction, unblock hard problems, cultivate a culture of excellence, and ensure that your engineers have what they need to do their best work. You will be expected to lead by example: staying technically sharp, embracing AI-assisted engineering workflows, and modeling the kind of clear thinking and high standards that NVIDIA is known for.

What You’ll Be Doing:

• Own the delivery, quality, and security posture of root-of-trust firmware across NVIDIA’s data center compute platforms, from architecture through production release.
• Lead, mentor, and grow a distributed team of senior firmware and security engineers, fostering a culture of autonomy, accountability, and continuous learning.
• Drive adoption of modern software engineering practices: rigorous code review, robust CI/CD pipelines, automated testing and fuzzing for security-critical code paths, and systematic threat modeling.
• Champion an AI-forward engineering culture — actively using and encouraging AI coding assistants, automated analysis tools, and LLM-assisted workflows to improve team velocity and code quality.
• Establish and maintain effective asynchronous-first communication practices that enable a geographically distributed team to collaborate with clarity and minimal friction across time zones.
• Partner with security architects, hardware engineers, system software teams, and data center customers to define requirements, review designs, and ensure the firmware stack meets NVIDIA’s highest reliability and security standards.
• Own project planning and execution: manage milestones, track risks, communicate status clearly to senior leadership, and make rapid decisions when priorities conflict.
• Drive continuous improvement in engineering processes, tooling, and team structure — identifying bottlenecks and acting decisively to improve throughput and morale.

What We Need to See:

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. 10+ overall years of relevant software or firmware engineering experience, including meaningful work in security-critical, embedded, or low-level systems software. 5+ years of engineering management experience, with a track record of building and scaling high-performing teams.
• Demonstrated experience managing distributed, remote-first engineering teams across multiple time zones, with a clear philosophy for enabling autonomous, high-agency contributors.
• Deep familiarity with modern software engineering methodologies: agile/iterative development, continuous integration, test-driven development, and systematic code review practices.
• Genuine, demonstrable AI-forward mindset: you actively use AI coding assistants and LLM-based tooling in your own workflows and have driven adoption of these tools within engineering teams.
• Solid technical foundation in C/C++ and embedded systems, with the ability to engage credibly in deep technical discussions about firmware architecture, memory safety, and hardware-software interfaces.
• Excellent written and verbal communication skills, with a strong preference for written communication that creates clarity and institutional memory for a remote team.
• Comfortable with ambiguity and complexity; you make sound decisions quickly with incomplete information and course-correct without friction.

Ways to Stand Out from the Crowd:

• Hands-on experience with root-of-trust architectures, secure boot, hardware security modules (HSMs), cryptographic attestation, or similar security-critical firmware domains. Experience with NIST SP 800-193 Platform Firmware Resiliency guidelines, DICE (Device Identifier Composition Engine), or SPDM (Security Protocol and Data Model). Familiarity with NVIDIA Data Center platforms (DGX, HGX, MGX) or equivalent hyperscale infrastructure, including in-band and out-of-band management stacks.
• Experience building or contributing to AI-assisted development tooling: prompt engineering for code generation, retrieval-augmented engineering workflows, or integrating LLMs into CI pipelines.
• Proven track record to build and sustain a strong team culture across remote, asynchronous settings — including hiring, onboarding, career development, and performance management for distributed engineers. Prior experience with formal threat modeling methodologies (STRIDE or similar) applied to firmware or embedded security contexts.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking outstanding individuals like you to help us drive the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking a Senior Technical Product Manager to lead the end-to-end delivery of new autonomous vehicle features, from definition to launch. This role will be a part of our L3/L4 product team. NVIDIA prides ourselves on our forward-thinking teams and technology. Today, we are developing groundbreaking products in robotics and intelligent autonomous machines. There has never been a more exciting time to join us!

What you will be doing:

• Define a cohesive user-centric product vision and experience, along with product goals & metrics
• Outline the strategy/roadmap to achieve these goals, and lead its execution to completion by driving alignment across teams
• Identify & prioritize the most critical activities required for the product's success, and ensure that they are completed
• Maintain a pulse on the overall health of the workstream, representing its progress to the broader team and proactively mitigating/communicating risks as early as possible
• Develop a strong technical understanding of the stack, to proactively identify new opportunities for product application and creative ways to solve/mitigate technical challenges

*What we need to see:*

• Bachelor of Science in Electrical Engineering or Computer Science (or equivalent experience)
• 12+ years of experience in a similar or related role
• Experience working in a software development environment
• Track record of leading the launch of new products or features to users
• Strong leadership and communication skills, with the ability to drive alignment across large organizations

*Ways to stand out from the crowd:*

• Background with autonomous vehicles and/or machine learning
• Experience with data analysis tools/languages such as SQL
• Experience with start-ups and/or early-stage products

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join NVIDIA's Accelerated Kubernetes Runtime team and be at the forefront of building the next generation of GPU-accelerated Kubernetes runtime distributions. As a Software Engineer on the Runtime team, you will design and build automation systems that enable engineers to seamlessly install, upgrade, and manage cluster runtime packages powering NVIDIA's AI Accelerators. You'll work on innovative controller systems that optimize runtime components for the latest GPU architectures including GB200/GB300, Vera Rubin and beyond, ensuring that AI researchers and developers have reliable, secure, and performant infrastructure at their fingertips.

The Runtime team is responsible for providing an NVIDIA-Accelerated Kubernetes runtime that can be applied to any cluster using NVIDIA accelerators, empowering engineers with automation-first, self-service tools that minimize manual effort while enhancing reliability and reproducibility.

What you will be doing:

• Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention
• Build and maintain the systems that configure,  package, validate, and distribute accelerated compute components
• Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows

What we need to see:

• Bachelors in Computer Science, or equivalent experience
• 8+ years of professional experience, with at least 3 years of experience with Kubernetes development
• Experience building production Kubernetes systems with significant expertise in controllers, operators, and CustomResourceDefinitions
• Strong proficiency in Go and experience building scalable Go services that manage complex distributed systems
• Hands-on experience with Helm, Kustomize, and managing Kubernetes manifest packaging and templating
• Demonstrated ability to design and implement automation systems that replace manual processes with reliable, self-service tooling

Ways to stand out from the crowd:

• Experience working with NVIDIA Kubernetes components such as GPU operator, device plugins, or other HPC components in large scale production environments
• Deep familiarity with OCI registries, artifact signing, SBOM generation, and supply chain security practices
• Experience building multi-tenant platform services with focus on API design, versioning, and backward compatibility
• Track record of migrating legacy systems to modern, automated platforms while maintaining zero-downtime operations and contributions to upstream Kubernetes/CNCF projects or experience extending Kubernetes API machinery
• Deep understanding of Kubernetes architecture including API machinery, admission controllers, and resource lifecycle management

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior DL Algorithms Engineer! We are seeking a highly skilled Deep Learning Algorithms Engineer with hands-on experience optimizing and deploying Large Language Models (LLMs), Vision-Language Models (VLMs), and World Foundation Models (WFMs) in production environments. In this role, you will focus on optimizing and deploying deep learning models for efficient and fast inference across diverse GPU platforms, particularly for physical AI and generative AI applications. You will collaborate with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production.

What you will be doing:

• Optimize deep learning models for low-latency, high-throughput inference, with a focus on LLMs, VLMs, diffusion models, and World Foundation Models (WFMs) designed for physical AI applications.
• Convert, deploy, and optimize models for efficient inference using frameworks such as TensorRT, TensorRT-LLM, vLLM, and SGLang.
• Understand, analyze, profile, and optimize performance of deep learning and physical AI workloads on state-of-the-art NVIDIA GPU hardware and software platforms
• Implement and refine components and algorithms for efficient serving of LLMs, VLMs, and WFMs at datacenter scale, leveraging technologies like Dynamo.
• Collaborate with research scientists, software engineers, and hardware specialists to ensure seamless integration of cutting-edge AI models from training to deployment
• Contribute to the development of automation and tooling for NVIDIA Inference Microservices (NIMs) and inference optimization, including creating automated benchmarks to track performance regressions

What we want to see:

• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
• 3+ years of professional experience in deep learning, applied machine learning, or physical AI development.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, and multimodal generative models such as World Foundation Models.
• Deep understanding of transformer architectures, attention mechanisms, and inference bottlenecks.
• Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
• Solid programming skills in Python and C++.
• Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
• Strong fundamentals in GPU performance analysis and profiling tools (e.g., Nsight, nsys profiling).
• Familiarity with serving models using Triton Inference Server and PyTriton via Docker.

Ways to stand out from the crowd:

• Proven experience deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
• Hands-on experience with model optimization and serving frameworks, such as: TensorRT, TensorRT-LLM, vLLM, SGLang, and ONNX.
• Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
• Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
• Deep understanding of distributed systems for large-scale model inference and serving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking to hire a deeply technical, creative, and Senior AI Platform Engineer to build, support, and maintain the next generation of AI-powered enterprise products that improve engineering efficiency, data security, and power our product development. This role will give you the opportunity to collaborate with Cloud and AI/ML teams in a multifaceted and agile environment. You will be pivotal in shaping the technological future of our organization, ensuring our systems are scalable, reliable, and ready for the AI era.

What you will be doing:

• Define and lead AI-native infrastructure roadmaps and cross-organizational initiatives.
• Architect and scale LLM/ML infrastructure across cloud-native clusters and on-premises hardware.
• Design and implement observability for infrastructure health and AI model performance.
• Build LLM-aware monitoring and leverage AI to improve incident response and reduce toil.
• Develop automation and tooling to ensure reliability, scalability, and developer self-services
• Troubleshoot complex distributed systems, including deep Kubernetes and AI/ML scaling challenges.
• Drive AI-assisted engineering practices and mentor engineers to foster an AI-first culture.
• Partner with product engineering and internal business units to translate AI platform capabilities into reliable, scalable solutions that accelerate product development.

What we need to see:

• 10+ years in cloud, platform, or SRE roles with relevant education or equivalent experience.
• Bachelors degree or equivalent experience.
• Strong Python and at least one systems language (C++, Go, or Rust), with proven distributed systems debugging expertise.
• Deep experience building and scaling distributed systems, including Kubernetes and bare-metal infrastructure.
• Strong observability design across infrastructure and AI workloads (metrics, logging, tracing, AI quality signals).
• Hands-on experience operating AI/ML platforms, including MLOps, model serving, and GPU-accelerated environments.
• Experience with infrastructure and application security practices, such as identity/auth, network segmentation, supply chain security, and vulnerability management in cloud-native environments.
• Practical use of AI-assisted development tools and coding agents in daily workflows.
• Solid foundation in data structures, algorithms, and complexity analysis.
• Excellent problem-solving, communication, and collaboration across multiple functions.

Ways to stand out from the crowd:

• Deep experience with AI/ML platforms (e.g., Hugging Face, Weights & Biases, NVIDIA NIM).
• Proven use of AI agents and LLM tooling to enhance observability, incident response, or developer productivity.
• Experience with artifact management, AI supply chain security, or trusted model distribution systems.
• Experience with AI-specific threat models (OWASP Top 10 for LLMs, model poisoning, adversarial inputs), experience with FedRAMP, SOC 2, or other compliance frameworks relevant to your environment, and red-teaming or security evaluation of LLM systems.
• Strong ownership demeanor with a structured, automation-first approach.
• Demonstrated impact driving AI-first engineering practices across teams.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you a hard-working GPU programmer? Do you want to help craft the architecture of future GPUs? A key part of NVIDIA's strength is our sophisticated software platforms and simulation environments that enable our incredible pace of delivering new technology to market. We are looking for ground-breaking, hardworking, and creative people to join a dynamic software team with high production-quality standards. Our work includes developing chip simulations in SW, chip test authoring languages and tools, and driving performance improvement. NVIDIA is continuously pushing the state of the art in chip development tools and infrastructure to enable the next generation of chips. In this position, you will develop the core infrastructure for modeling, analyzing, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models, and on simulations, emulations, and silicon for all our GPUs.

What you'll be doing:

• As a member of the team, you will play a critical part in every stage of development of a GPU
• Thrive at the interface between software drivers and the GPU simulation
• You will become the specialist for running SW applications directly on simulated GPUs in diverse environments
• Capture instrumentation requirements from GPU architects who research next-gen improvements
• You will coordinate with GPU architects to enable functional and performance testing for the next architecture
• Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market.
• In this role, you will improve the daily workflows of leading chip modelers and designers around the globe to help produce the next greatest generation of GPUs.

What we need to see:

• Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience
• 2+ years of relevant software development work experience
• You understand the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)
• Ability to work across the GPU and driver stacks
• Strong C++ programming capability are required
• Knowledge of object-oriented design patterns are required
• Excellent interpersonal skills
• Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements

Ways to stand out from the crowd:

• Experience with chip and/or system simulation
• Strong Python scripting skills
• Experience with farm compute tools/techniques like virtual machines, containers, distributed programming

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Our Enterprise AI team builds intelligent AI agents that transform how NVIDIA operates — from smart personal assistants and engineering-productivity tools to data-driven analytics and supply-chain optimization. These agents are live, in production, and used across the company. Now we need a principal-level, hands-on engineering leader to make them bulletproof and to architect the next generation of agent infrastructure. This is not a research role. This is a role for someone who obsesses over reliability, polish, and user trust — and who has the full-stack depth to harden production systems and the architectural vision to ensure they scale.

What you'll be doing:

• Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products.
• Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use.
• Establish strong patterns for testing, debugging, CI/CD, safe rollout, auto-update mechanisms, monitoring, incident response, and operational excellence so our Agentic AI applications behave like mature software, not prototypes.
• Build reusable capabilities that support multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration.
• Help validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production settings.
• Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned.
• Define the core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance.
• Partner closely with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver measurable outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations.

What we need to see:

• BS, MS, or equivalent experience in Computer Science or a related field.
• 15+ years building and operating production software systems, including significant experience leading architecture and delivery across the full stack.
• Solid experience building modern applications across frontend, backend, and platform layers. This may include technologies such as TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure.
• Proven track record taking complex products from prototype to reliable, secure, well-operated production systems. Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response.
• Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams or products.
• Working knowledge of modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, reusable skills, MCP-based integrations, evaluation loops, memory systems, and agentic workflows. You do not need to be a research scientist, but you should know how to build reliable, production-grade systems around AI.
• Strong judgment, communication, and cross-functional leadership skills, with the ability to influence across teams while remaining highly hands-on.

Ways to stand out from the crowd:

• Experience hardening desktop or client applications at scale, including installers, auto-update systems, crash recovery, and enterprise distribution.
• A track record of improving engineering velocity and consistency through common frameworks, platform services, design patterns, and developer tooling.
• Experience building reusable infrastructure for AI products, such as orchestration layers, memory/context services, evaluation platforms, human-in-the-loop workflows, or policy and safety controls.
• Familiarity with identity, discovery, trust, reputation, or graph-based systems relevant to large-scale agent collaboration.
• Experience with GPU-accelerated systems or NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA seeks a senior software engineer to join the AI Networking co-design and benchmark R&D team. In this pivotal role, the candidate is responsible for building and productizing machine learning tools. These include tools that use ML-based combinatorial optimization and build space exploration (DSE) techniques. These tools will be employed to optimize AI workloads across large GPU and CPU clusters, thereby ensuring the most efficient and productive utilization of system resources at data center scale. The role involves working on distributed Deep Learning, particularly within LLM training and inference stacks. A strong passion for collective communication and networking is desirable. The candidate will interact with diverse hardware and platforms, such as Host Channel Adapters (HCAs), Switches, CPUs, GPUs, and complete Systems. Furthermore, the role requires engagement across multiple software layers, including LLM applications, machine learning frameworks, and communication and computing libraries. The candidate will develop tools and methodologies using Machine Learning (ML) for comprehensive performance analysis and optimization, potentially incorporating learning-based agentic techniques. This work involves deep-diving across the software stack, from LLM applications and ML frameworks down to communication and computing libraries. This position offers a distinct opportunity to make significant contributions to the core infrastructure powering the next generation of large-scale AI systems.

What you'll be doing:

• Design and implement resource allocation and combinatorial optimization techniques (e.g., reinforcement learning, LLM agents for DSE, Bayesian optimization and other multi-objective optimization techniques) to optimize LLM models at datacenter scale.
• Research, develop, and deploy AI/ML techniques to optimize large-scale Deep Learning (LLM) training and inference on NVIDIA supercomputers and distributed systems. This includes a focus on high-performance networking and NVIDIA communication libraries.
• Build and productionize ML-based tools for performance prediction and optimization, with a strong emphasis on networking aspects.
• Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types, such as time series and PyTorch model graphs, to effectively support the training of high-performance Machine Learning models.
• Collaborate across hardware and software teams to deliver valuable performance analysis insights.
• Lead performance test planning, establish performance targets for new technologies and solutions, and drive efforts to achieve those performance goals.

What we need to see:

• PhD or Master's degree in Computer Science, Software Engineering, or equivalent experience.
• 4+ years of experience applying machine learning techniques to computer architecture and system optimization problems. Desired experience involves leveraging ML at the intersection of at least two of the following areas: HPC, networking, and AI applications.
• Hands-on experience developing and deploying various learning algorithms (e.g., reinforcement learning, offline RL, supervised learning) to tackle optimization challenges within computer architecture, system design, or networking domains.
• Proficiency in building and using ML models with leading frameworks such as PyTorch or TensorFlow, or JAX.
• Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and Kineto execution traces.
• Expertise combining knowledge of NVIDIA GPUs, the CUDA library, and deep learning frameworks (TensorFlow/PyTorch) with networking concepts, including collective communication libraries (like NCCL) and protocols (such as RoCE and RDMA).
• Strong programming capabilities in Python, Bash, and C++.
• A collaborative teammate with effective communication and interpersonal abilities.

Ways to stand out from the crowd:

• In-depth knowledge and experience with machine learning/reinforcement learning and frameworks.
• Comprehensive understanding of computer architecture, system architecture and networking.
• Extensive experience in applying machine learning techniques such as GNNs or related graph-based models.
• Knowledge in PyTorch, CUDA, and NCCL libraries.
• Proven software engineering/development skills

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Senior Technical Program Manager to lead organization-wide business operations for our Engineering Infrastructure teams serving the Hardware organization. In this role you will own the roadmap and planning processes, lead headcount forecasting and recruiting initiatives, coordinate internal communications and onsite programs, and enable organizational effectiveness across multiple programs. You will partner with engineering, operations, and leadership to ensure alignment, accelerate decision-making, and scale program execution across the Hardware Infrastructure organization.

Hardware Infrastructure creates the platform foundation for end-2-end silicon development -- from architecture through design, and production. We build and operate models, software engineer systems, compute environments of millions of cores, and workflow tools. Our mission is to improve engineering velocity while ensuring the performance, efficiency, and resilience required to deliver the world's most innovative hardware solutions. This role requires a balance of operational rigor and critical thinking to drive complex initiatives from planning through delivery.

What You'll Be Doing:

• Lead the organization-wide roadmapping process for Hardware Infrastructure, ensuring alignment of priorities, timelines, and cross-team initiatives
• Drive headcount planning and recruiting strategies in partnership with engineering and HR, ensuring the organization has the right talent to meet current and future needs
• Partner with leaders to identify, define, and track strategic business initiatives across Hardware Infrastructure, helping to translate high-level goals into actionable programs
• Establish and maintain org-wide program processes, metrics, and dashboards to provide insight into progress, dependencies, and potential risks
• Support decision-making by providing metrics, evidence based insights, risk assessments, and recommendations on strategic programs and resource allocation
• Drive operational excellence by documenting processes, sharing guidelines, and creating repeatable frameworks to scale program management across the org
• Create opportunities to improve organizational effectiveness, team collaboration, communication flows, and program execution within the Hardware Infrastructure organization

What We Need To See:

• B.S. (or equivalent experience) in Electrical Engineering, Computer Science or a related technical field and 12+ years of technical program management experience, including leading complex, cross-functional programs at scale
• Experience in organizational planning, including road-mapping, headcount/resource planning, and coordinating program progress within an engineering org
• Experience scaling program management practices, establishing processes, and driving operational excellence across multiple teams
• Proven ability to partner with engineering and leadership teams to drive alignment across multiple initiatives and partners
• Strong organizational, communication, and facilitation skills, with experience leading cross-team meetings and presentations
• Strong analytical skills with experience providing data-driven insights to guide decision-making and prioritize initiatives.
• Experience tracking metrics, handling dependencies, and reporting program status to leadership
• Proven ability to plan, coordinate, and implement organizational events, team building on-sites, or similar initiatives
• Comfortable working with senior technical leaders and translating strategic goals into actionable programs

Ways To Stand Out from the crowd:

• Experience in hardware, silicon or infrastructure organizations, with exposure to complex technical programs
• Experience driving cross-geography or globally distributed programs

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

JAX is the framework of choice for the most ambitious AI research, and the datacenters it runs on are evolving fast. NVIDIA supercomputers are becoming more heterogeneous combining GPUs, CPUs, and LPUs, and JAX needs to evolve to perform well across all of them. NVIDIA seeks a Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating multiple teams and workstreams to ensure JAX delivers peak performance across the platform, from single-accelerator workloads to hundreds of thousands of devices on the largest supercomputers ever built.

A critical part of this role is ensuring JAX is ready on next-generation architectures, including Rubin Ultra, LPUs, and the CPUs that drive them, from day one. Doing that well requires keeping up with where AI is heading. This means supporting emerging needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends. Come join us to build the team and technology behind the next AI breakthroughs.

What you will be doing:

• Drive the engineering contribution strategy across the JAX ecosystem stack — including JAX core, XLA, Shardy, MPMD, and application-level codebases like MaxText — prioritizing where NVIDIA's contributions create maximum impact on performance, adoption, and ecosystem influence
• Promote teamwork across organizational boundaries to shape NVIDIA's AI platform across compiler (XLA, TileIR, CUDA), runtime, networking, and hardware teams
• Build deep partnerships with key open-source projects, especially Google's JAX team — supporting our partners while representing NVIDIA's interests in shaping the project's direction
• Design processes and define clear success criteria to keep teams aligned to outcomes
• Build staffing plans, review team capacity, and make strategic hiring decisions to stay ahead of current and future needs
• Lead, grow, and mentor a high-performing engineering organization — developing technical leaders and creating space for your team to experiment, prototype, and build innovative systems that improve products and processes

What we need to see:

• MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
• 10+ overall years of software engineering experience, with 4+ years in engineering management or technical leadership
• Strong technical background in system software, compilers, high-performance computing, or AI frameworks
• Proven experience leading domain-level strategy and projects that span organizational boundaries, building consensus, influencing without direct authority, and tailoring communication to the audience from engineers to executives
• Track record of owning outcomes across multiple projects and teams, balancing trade-offs, and driving progress with incomplete information
• Experience identifying development cycle gaps and defining workflows across teams and organizations to improve efficiency
• Experience leading teams that contribute to large-scale projects with external collaborators

Ways to stand out from the crowd:

• Hands-on experience with JAX and its systems like XLA, HLO, PJRT, Shardy, or JAX's tracing and transformation system
• Experience leading teams working on compiler or runtime infrastructure for deep learning frameworks (JAX, PyTorch, TensorFlow or equivalent)
• Familiarity with NVIDIA's AI platform components: GPU programming, CUDA, cuDNN, NCCL, TensorRT, Transformer Engine and heterogeneous compute targets (GPU, CPU, LPU)
• Experience driving performance optimization efforts for large-scale distributed AI training, post-training (RLHF, alignment), inference, or robotics workloads (multi-node, multi-GPU)
• Experience driving framework or software bring-up on new hardware architectures, coordinating across silicon, driver, compiler, and framework teams

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Datacenter GPU Power Architect - New College Grad

NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products.

What you'll be doing:

• You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
• Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
• You will help with Performance vs Power Analysis for NVIDIA future product lineup.
• Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
• Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
• Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.

What we need to see:

• Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience
• Knowledge of energy efficient chip design fundamentals and related tradeoffs.
• Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
• Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
• Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
• Familiarity with performance monitors/simulators used in modern processor architectures.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What You Will Be Doing:

• Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
• Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas
• Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
• Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions
• Analyzing performance and power efficiency of AI inference workloads on Kubernetes
• Some travel to conferences and customers may be required (20%)

What We Need To See:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
• Strong fundamentals in programming, optimizations, and software design, especially in Python
• Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments
• Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
• Excellent knowledge of the theory and practice of LLM and DL inference
• Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

• Prior experience with DL training at scale, deploying or optimizing DL inference in production
• Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, Dynamo, TensorRT, TensorRT-LLM
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Familiarity with parallel programming and distributed computing platforms

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you a Mask Layout Design Engineer who is seeking am amazing opportunity? We are looking for a Senior Mask Layout Design Engineer – someone who is excited to join a growing group of diverse individuals responsible for handling complex mixed-signal circuit designs! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Join our dynamic team today!

What you'll be doing:

• The role entails working collaboratively and multi-functionally with a multi-disciplinary team of Photonics, CMOS, Electronics, and Systems engineers
• Perform physical layout for mixed-signal functions like PLL's, high speed I/O circuits, general I/O's, ESD structures designs in innovative sub-micron CMOS technologies using Cadence tools
• You'll work with ASIC and mixed-signal engineers to customize designs for integration in VLSI products.
• Job duties will include floor planning, custom layout and verifying against design rules and schematics.
• Fill, post-processing, DRC mitigation, and foundry interactions

What we need to see:

• BS in Electrical Engineering (or equivalent experience)
• At least 6+ years of hands-on layout design experience
• Deep understanding of analog circuit layout concepts in submicron CMOS technologies. Validated experience with Cadence custom circuit design tools - particularly virtuoso
• Experience running and debugging DRC and LVS with verification tools such as Dracula, Hercules, Calibre, Primeyield
• Ability to work optimally in a team, good interpersonal skills and positive energy.
• Proficiency in scripting languages like perl, python, skill etc. Knowledge of DRC and LVS checking flows, ability to customize DRC and LVS

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 4, and 148,000 USD - 235,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Senior Developer Relations Manager to drive strategic partnerships with the ISVs who are building MLOps/GenAIOps platforms or services using accelerated computing and Generative AI.     

The Developer Relationship Manager is a high-profile role in NVIDIA. In this important role, you will be an evangelist of Nvidia’s accelerated computing and AI technologies and products such as NVIDIA NeMotron, NIMs, NeMo Microservices and Blueprints. You will be leading engagement with leading MLOps/GenAIOps developers and make sure they can utilize state-of-art NVIDIA technology. You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a meaningful role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA.  An ideal candidate has a proven technical background in MLOps, LLMOps, GenAIOps, generative AI, agentic AI, and accelerated computing, a strategic understanding of the AI market landscape, and experience with AI ecosystem development.

What you'll be doing:

• Developing GenAIOps ecosystem strategy
• Working closely with strategic partners to identify accelerated computing and Generative AI product collaboration opportunities.
• Driving technical engagement and product collaboration with partners to support partners’ technology, product and solution development with NVIDIA products and technologies.
• Collaborating with NVIDIA’s product/engineering teams to influence the NVIDIA product and roadmap development based on the voice of NVIDIA partners.
• Collaborating with NVIDIA’s product, marketing, business development and sales teams, advocate partners’ solutions, showcase NVIDIA enabled solutions, and drive joint GTM with partners.

What we need to see:

• BS/MS/PhD in Computer Science or Engineering or equivalent experience
• Strong leadership skills, excellent communication abilities and collaborative attitude
• Proven understanding and experience of MLOps, LLMOps, GenAIOps, generative AI, and/or agentic AI.
• 12+ years of meaningful work experience

Ways to stand out from the crowd:

• Background with NVIDIA GPUs, SDKs, and platforms.
• Experience of building strategic partnerships and a versatile ISVs ecosystem
• Expertise in deep learning, generative AI, agentic AI development and applications.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a GeForce NOW Platform Architect. GeForce NOW is NVIDIA's Cloud Gaming service streaming games at the highest quality to any and every user regardless of their device types and capabilities – low-end PCs, Macs, or mobile devices. Using the most advanced GPUs and NVIDIA proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play!

For more details see http://www.geforce.com/geforce-now?nvid=nv-int-gn-4.

The GeForce NOW Platform Architecture team is responsible for the Architecture, Performance and Efficiency of Cloud Gaming Servers used in current and upcoming hardware generations.

What you'll be doing:

• Driving Performance analysis of current and next generation Cloud Gaming Hardware and finding bottlenecks.
• Improving Gaming performance by driving optimizations at different levels of the Software stack including but not limited to Hypervisor, Driver and Firmware.
• Influencing future system design.
• Engaging with ODM and driving design reviews.
• Enhancing Performance analysis tools and simulators.

What we need to see:

• MS or BS, CS/EE (or equivalent experience) and at least 14+ years of related industry experience
• Proven experience in System Software, Diagnostic Software, Hardware Reliability of GPU, CPU, Memory Controller, PCIe and Storage
• Experience with BIOS, BMC and Firmware
• Experience with Kernel Mode Drivers and OS/Hypervisor on Windows/Linux
• Strong problem solving and analytical skills

Ways to stand out from the crowd:

• Knowledge of Graphics APIs like Direct X, Vulkan and Metal
• Knowledge of CPU/GPU/Accelerator Profiling tools
• Development with C/C++
• Experience with virtualization technologies

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Cloud Systems, High-Performance Computing, and Cloud Gaming. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 8, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects work with top minds in Financial Services - Banking, Consumer Finance - to accelerate High-Performance Computing and AI workloads across various use cases. We’re seeking an inquisitive, hard-working, and creative individual passionate about helping tackle challenges. Join us in this endeavor!

What You’ll Be Doing:

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.
• Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.
• Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.
• Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.
• Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

What We Need To See:

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
• 8+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++
• Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask
• Ability to communicate ideas and share code clearly through blog posts, GitHub
• Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)
• Effective verbal/written communication and technical presentation skills
• Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team

Ways To Stand Out From The Crowd:

• Experience building and deploying Banking and Payments modeling techniques, such as: Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems, etc
• Familiarity with NLP Generative and Agentic AI models, frameworks, and applications
• Skilled in deploying ML/DL models at scale on on-prem or public cloud computing clusters in production
• Development experience with NVIDIA software libraries and GPUs
• Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc. Experience working with enterprise developers building AI, HPC, or data analytics applications

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. 

We are now looking for an Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team! Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs. You will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

What you'll be doing:

• Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
• Identify key design features and workloads for building Machine Learning based unit power/energy models.
• Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
• Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
• Develop methodologies to estimate data movement power/energy accurately.
• Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
• Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
• Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
• Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
• Identify, suggest, and/or participate in studies for improving GPU perf/watt.

What we need to see:

• Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.
• Strong coding skills, preferably in Python, C++.
• Background in machine learning, AI, and/or statistical modeling.
• Background in computer architecture and interest in energy-efficient GPU designs.
• Familiarity with Verilog and ASIC design principles is a plus.
• Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
• Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
• Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
• Good verbal/written communication and interpersonal skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an experienced Software Engineer to join our User Interface Infrastructure and Applications team. In this role, you will develop and build modern management frameworks invented for user interfaces that support large‐scale, accelerated, and software-defined data centers. You’ll collaborate with cross-functional teams to deliver reliable, scalable infrastructure that supports AI and high-performance computing workloads.

The ideal candidate has hands-on experience developing software for networking systems—spanning Ethernet, InfiniBand, switching, routing, and open networking technologies—as well as a strong understanding of Linux platforms, cloud-scale architectures, and modern programming APIs.

What you'll be doing:

• Designing, implementing, and enhancing core networking management services that power NVIDIA platforms.
• Building modern UI components and application services that simplify system management and monitoring.
• Collaborating with engineering, UX, product, and architecture teams to define software requirements and technical designs.
• Ensuring reliability, scalability, and performance across distributed systems and complex infrastructure.
• Working closely with internal stakeholders, including field engineering, customer support, and platform engineering teams.
• Contributing to process improvements, development guidelines, and agile execution workflows.
• Participating in full lifecycle delivery—from design through development, validation, and release.

What we need to see:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 8+ years of experience building software for Linux-based systems or data-center-grade networking products.
• Solid programming expertise in languages such as C/C++, Go, or Python.
• Experience with distributed systems, application services, or cloud-scale infrastructure.
• Strong understanding of networking fundamentals, protocols, or network management systems.
• Ability to work effectively with multi-disciplinary teams and contribute to architectural discussions.
• Attention to detail and comfort working in a dynamic environment with evolving requirements.
• Excellent communication skills and ability to collaborate across time zones.

Ways to stand out from the crowd:

• Background in routing/switching technologies, network OS platforms, or data-center network design.
• Experience with UI/UX development frameworks or application dashboards.
• Knowledge of data models (YANG), RESTful APIs, and configuration/management frameworks.
• Familiarity with open networking solutions such as Cumulus Linux, Mellanox switches, or SONiC.
• Experience with CI/CD pipelines, monitoring frameworks, or SDN-based systems.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Test Infrastructure Development Engineer. You will be joining the team driving test methodology across all GPU board products - from the consumer-facing GeForce/Quadro boards to the data-center-focused Tesla boards! We work on evaluating, validating and building new test equipment for the production line and maintaining home-grown test frameworks and related infrastructure. As a Senior Infrastructure Engineer, you will have the opportunity to work on exciting projects and make a difference to NVIDIA's production test solutions.

What you’ll be doing:

• Work with multiple Test Engineering teams to build the "IDE for test" - a collection of web-based tools to simplify our diagnostic tool builds and releases
• Use innovative technologies such as ReactJS combined with other frameworks such as Flask (python) to improve existing test infrastructure or create new test infrastructure to increase efficiency and productivity in test case development, scheduling, or deployment
• Work closely with Test Development Engineering Teams, Product Development Engineering Teams and Software Engineering Teams to solve sophisticated infrastructure, security, or development problems
• Support and contribute to the development of the Test Framework used in all NVIDIA manufacturing test programs

What we need to see:

• BS/MS in Computer Science, Engineering, Information Systems or related field, or equivalent experience
• 3+ plus years of software development-related experience
• Fluency in Python
• Proficiency with server-side Python libraries such as Django or Flask
• Strong knowledge of JavaSсript/ES6+, Typescript, Angular, React, and Node.js
• Experience with Docker, Kubernetes
• Background with mySQL
• Proficiency with version control systems - GIT, Perforce
• Knowledge of the Linux platform - deploying applications, basic problem solving, server monitoring
• Familiar with bash scripting under Linux

Ways to stand out from the crowd:

• Experience deploying applications test automation applications
• Passion to collaborate and build supporting development infrastructures like CI/CD and DevOps
• Exposure to test manufacturing of electronic systems such as GPUs, servers and boards

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 2, and 132,000 USD - 207,000 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It's an outstanding legacy of innovation that's fueled by phenomenal technology—and outstanding people! As part of NVIDIA's applied LLM and AI chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.

What you will be doing:

• Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with enterprise production systems.
• Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
• Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
• Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
• Make a difference by leveraging AI technologies to solve complex problems in chip design, driving innovation and meaningful impact across the industry.
• Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
• Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.

What we need to see:

• Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
• 5+ years of proven industry experience
• Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
• Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
• Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
• A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company and form teams with the most inquisitive people in the world. Join us at the forefront of technological advancement. We are hiring software engineers to work on the CUDA driver for Windows. CUDA is NVIDIA’s platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, user mode drivers, and the operating system.

What you’ll be doing:

As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

• You will architect and implement new features
• Coordinate development efforts across multiple teams
• Help define forward-looking improvement to the CUDA APIs and programming model
• Write effective, maintainable, and well-tested code
• Focus on developing code that targets the Microsoft Windows operating system

What we need to see:

• BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
• 8+ years of relevant industry experience or equivalent academic experience after BS
• Strong C and C++ programming skills
• Experience working with large codebases
• Experience with operating system interfaces for threads, process control, and virtual memory
• Experience writing and debugging multithreaded programs
• Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
• Strong interest in system software
• Knowledge of memory coherence and consistency models
• Good written communication

Ways to stand out from the crowd:

• Windows Display Driver Model (WDDM) experience
• Experience with game development
• Background in computer graphics (OpenGL, Vulkan, DirectX)
• Experience writing Windows device drivers
• Experience with kernel mode development

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Deep Learning Software Engineer, TensorRT Performance! NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA’s inference ecosystem! NVIDIA is rapidly growing our research and development for Deep Learning Inference and is seeking excellent Software Engineers at all levels of expertise to join our team. Companies around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in areas like Generative AI, Recommenders and Vision that have put DL into every software solution. Join the team that builds the software to enable the performance optimization, deployment and serving of these DL inference solutions. We specialize in developing GPU-accelerated deep learning inference software like TensorRT, DL benchmarking software and performant solutions to deploy and serve these models.

Collaborate with the deep learning community to integrate TensorRT into OSS frameworks like TensorRT-EdgeLLM and PyTorch. Identify performance opportunities and optimize SoTA models across the spectrum of NVIDIA accelerators, from datacenter GPUs to edge SoCs. Implement graph compiler algorithms, frontend operators and code generators across NVIDIA’s inference ecosystem. Work and collaborate with a diverse set of teams involving workflow improvements, performance modeling, performance analysis, kernel development and inference software development.

What you'll be doing:

• Establish groundbreaking performance benchmarking methodologies and analysis workflows and identify performance issues and opportunities for NVIDIA’s inference ecosystem (e.g. TensorRT/TensorRT-EdgeLLM/Torch-TensorRT)
• Contribute features and code to NVIDIA/OSS inference frameworks including but not limited to TensorRT/TensorRT-EdgeLLM/Torch-TensorRT.
• Develop new model pipelines for NVIDIA’s inference ecosystem with optimized performance including but not limited to areas like quantization, scheduling, memory management, and distributed inference to set the gold standard for Gen AI performance.
• Work with cross-collaborative teams inside and outside of NVIDIA across generative AI, automotive, robotics, image understanding, and speech understanding to set directions and develop innovative inference solutions.
• Scale performance of deep learning models across different architectures and types of NVIDIA accelerators.

What we need to see:

• Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Science, Computer Engineering, EECS, AI).
• 2 years of relevant software development experience.
• Strong C++, Python programming and software engineering skills
• Experience with DL frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX) and inference libraries (e.g. TensorRT, TensorRT-LLM, vLLM, SGLang, FlashInfer).
• Experience with performance analysis and performance optimization

Ways to stand out from the crowd:

• Strong foundation and architectural knowledge of GPUs.
• Deep understanding of modern deep learning models and workloads (e.g. Transformers, Recommenders, ASR, TTS, Visual Understanding).
• Proficiency in one of the deep learning programming domain specific languages (e.g. CUDA/TileIR/CuTeDSL/cutlass/Triton).
• Prior contributions to major LLM inference frameworks (e.g. vLLM) or prior experience with graph compilers in deep learning inference (e.g. TorchDynamo/TorchInductor).
• Prior experience optimizing performance for low-latency, resource-constrained systems or embedded AI pipelines (e.g. Jetson systems or other edge AI accelerators).

GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.” Come, join our DL Architecture team, where you can help build a real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Hardware Architect for our Tegra System-on-Chips (SoC)! Do you want to be a part of the Artificial Intelligence (AI) Revolution? Would you like to work with world-class systems architects to define the next generation SoC architecture for Datacenters and Autonomous Vehicles?  We are looking for an exceptional SoC architect to lead the architecture and strategy for in-field diagnostic testing to detect hardware failures in our CPUs and SoCs deployed in datacenters, and drive the development, validation and optimization of such diagnostics. 

This position offers the opportunity to have real impact in a dynamic, technology-focused company developing state-of-the-art processor and system architectures that are at the forefront of accelerating machine learning, autonomous vehicles, high-performance computing, and edge computing applications. We have built a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.

What you’ll be doing:

• Work with RAS Architects to develop architecture and methods to detect faults that develop in our SOCs deployed in datacenters and autonomous vehicles.
• Work with software, design verification and silicon validation teams to develop tests that achieve high diagnostic coverage for the design.
• Assist in Failure Analysis to debug failing parts in the field and develop screens to detect and localize failures.
• Create Hardware specifications, testplans, and architectural models in System C (where applicable).
• Planning and Executing Architectural validation plans.
• Post-Silicon production support with silicon debug and publishing of customer documentation.
• Follow Industry standards and best-practices related to RAS, debuggability and silicon testing
• Patenting novel parts of system architecture

What we need to see:

• MS or PhD degree in computer or electrical engineering or equivalent experience
• At least 8+ years of SoC architecture, design and/or verification experience
• Good understanding of Reliability, Availability, Serviceability (RAS) in the SoC context
• You have meaningful industry expertise in defining one or more of the following SoC architecture areas - RAS, Clocks, Resets, Debug, Automotive safety, Interconnects, Memory Controller, IO technologies, Platform integration, In-System Test.
• Hands-on design verification experience, knowledge of coverage analysis and optimization methodology.
• You are comfortable communicating and solving issues at all levels of architecture definition from micro-architecture to system level to software architecture.
• Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a team.

Ways to stand out from the crowd:

• History of debugging hardware failures in the lab.
• Familiarity with Design for Debug, Design for Test flows.
• Past research, publications in the area RAS.
• System C or C++ development skills, Python, or relevant programming experience

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing–an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. Drive outtake and consumption by integrating libraries, frameworks, models, and software applications. Deliver GenAI, AI, and ML hardware/software to production with the most consequential customers and partners, supporting partners building next-gen GPU platforms. Own end-to-end technology solution integration with strategic customers and offer product strategy recommendations based on feedback. Profiles should be comfortable in a dynamic environment with experience in Deep Learning, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What you'll be doing:

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
• Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
• Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
• Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
• 10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
• Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
• Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
• Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
• Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
• Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
• Self-starter with a passion for growth, continuous learning, and sharing insights.

Ways to stand out from the crowd:

• Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA CUDA-X
• Hands-on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on-premises / hybrid infrastructure, in particular inference and training workloads.
• Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.
• Proficiency with large-scale AI model training / deployment encompassing GPU systems, performance testing, AI benchmarking, fine tuning, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture).
• Experience working with enterprise developers and strong customer-facing skills.

We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA continues to reinvent itself. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can take on, and that matter to the world. Are you passionate about working at the cutting edge of technology? Make the choice to join us today. Looking for a skilled and motivated Product Development engineer to drive bring up of state-of-the-art SOCs through collaboration with architecture, software, test and hardware teams.

What you'll be doing:

• Analyze product yield limiters, drive failures on Automatic Test Equipment (ATE) at wafer and package level
• Characterize different aspects of performance and power to take competitive products to market
• Lead multi-functional efforts with design, foundry, quality, test, customers and suppliers to root-cause problems and implement improvements
• Influence next-gen products by collaboration with architecture, software and test teams.

What we need to see:

• Bachelor's degree in Electrical Engineering (or equivalent experience)
• 5+ years of relevant experience
• Analytical and problem-solving skills, especially in troubleshooting test failures and optimizing test coverage
• Experience with porting functional workloads to an automated test environment. Understanding of software-hardware dependencies.
• Exposure to both Teradyne and Advantest platforms is a plus

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most talented people in the world working for us. If you're creative and autonomous, we want to hear from you. You can do your life’s work here! Join us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a Cloud SRE Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide. The cloud hosts various machines and devices with operating systems like Windows, Linux, and Android. It supports hardware platforms including NVIDIA GPUs and Tegra Processors. It delivers unified CI/CD solutions and cloud-based software development. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?

What you'll be doing:

• Serve as an SRE Architect part of GPU Private Cloud team used by thousands of NVIDIANs globally for interactive development, centralized CI / CD and QA testing
• Evaluating, identifying and developing software solutions to optimize critical software development workflows across various organizations within Nvidia.
• Architecting, Implementing & supporting end-to-end CI/CD system using open-source and Nvidia proprietary software.
• Customer (NVIDIA Internal development teams) onboarding to Private cloud infrastructure with a good discovery of the use case and available solutions within the cloud
• Identify performance bottlenecks and optimize the speed and cost efficiency of AI development and testing systems.
• Leading software development projects and technically direct a team of brilliant engineers and guide them to provide efficient and impactful solutions.
• Looking for problems within software systems and resolving the issues
• Craft and implement critical metrics using various analytics methods and dashboards

What we need to see:

• BS EE/CS or equivalent experience with 18+ years of systems software development including at least 1 year dedicated to developing/exploring AI.
• Experience of maintaining cloud infrastructure and highly available production environment.
• Strong programming and software development skills in JAVA, Python, Shell-script along with good understanding of distributed systems and REST APIs.
• Experience in working with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB or Elasticsearch.
• Excellent knowledge and working experience with Docker containers and Virtual Machines.
• Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka.
• Ability to work across organizational boundaries effectively to improve alignment and productivity between teams in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Depth in AI, Machine Learning and Deep Learning algorithms and techniques.
• Strong collaborative and interpersonal skills, with a consistent record of guiding and influencing others in dynamic environments.
• Experience developing large-scale software systems using modular architecture under real-time performance requirements.
• Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization.

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are difficult to tackle, that only we can seek, and that makes a difference to the world. Do you hunger to realize your potential to perform at a high level and make a meaningful contribution at NVIDIA? Join us in revolutionizing the world of AI!

As the Site Lab Operations Manager for our Systems Product Team, you will collaborate with cross-functional teams while managing lab space allocation and proactively anticipate the needs of our engineers. This job allows you to work in a highly multifaceted, exciting engineering environment responsible for the most meaningful Datacenter products in the world.

What You'll Be Doing:

• Collaborate with cross-functional teams, including technical and non-technical employees, managers, and partners, to provide lab capacity and services to support various engineering teams.
• Manage lab space allocation for R&D, product development, thermal mechanical, software, and hardware engineering projects.
• Gain a high-level understanding of the engineering teams' operations, equipment needs, and facility requirements.
• Serve as a "lab space broker" to allocate lab capacity efficiently and fairly within the company, lead small-scale lab infrastructure projects, moves, and upgrades.
• Proactively anticipate the needs of engineering teams based on experience and operational knowledge.
• Maintain and track physical space using web-based tools, inventory sheets, and visual layouts.
• Conduct safety reviews and identify opportunities to improve operational safety and efficiency.

What we need to see:

• Bachelor's Degree in a technical field or equivalent experience.
• Background in engineering with strong experience of lab equipment and technology, with junior management experience, seeking a new challenge in a lab environment.
• Corporate real estate experience in a high-tech setting managing infrastructure projects.
• Minimum of 5 years of experience in an innovative product development environment.
• Strong interpersonal communication skills to engage with various stakeholders and leadership.
• Highly motivated, quick learner, adaptable to change, and interested in exploring new technologies.
• Ability to navigate conflicting objectives, negotiate with suppliers, support services and solicit quotes and goals through patience and negotiation.
• Detail-oriented with excellent prioritization skills to manage multiple tasks while driving solutions to closure with stakeholders.
• Willingness to travel occasionally within the Bay Area for site visits.

Ways to stand out from the crowd:

• Effective communication skills with internal customers and leadership.
• Proficiency in MS Visio, MS SharePoint, and Jira.
• Experience in high-tech construction project management.
• Familiarity with the datacenter product ecosystem.
• Outgoing personality with a proactive approach to engaging with customer engineering teams in the lab environment.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Senior leader to orchestrate embedded NVIDIA AI software Go-To-Market strategy and co-sales with our partners. As Enterprise adoption of Agentic AI is rising, we are seeing a tremendous increase in our partners plans to embed NVIDIA AI software and Acceleration libraries in their products. For this highly sought after role, we need a high-reaching leader to work closely with our partners to drive partner sales, NVIDIA sales, and customer engagements! The goal is to increase adoption and use of the NVIDIA platform, including hardware and software. "Embed and Scale" is our key GTM strategy and therefore sales motion. This person will also drive enablement materials, sizing guides, train partners and field and drive industry feedback to the product teams.

What you'll be doing:

• Develop deep understanding of NVIDIA’s AI and accelerated computing platform including GPUs, DPUs, CPUs, NVIDIA AI, Developer Tools, CUDA-X libraries, SDKs
• Go-to-Market & Scale: Collaborate multi-functionally with Product Management, Product Marketing, Developer Relationship Managers and Solution Architects to Define and Implement a leadership embedded software go-to-market strategy!
• Strategic Ecosystem Engagement: Identify, engage, and lead strategic relationships with Independent Software Vendors (ISVs), OEMs, and Global system integrators to accelerate the design-in and integration of AI technologies developed by NVIDIA with partner platforms.
• Enablement & Content Creation: Develop and deliver high-impact technical enablement materials across NVIDIA sales and the partner ecosystem.
• Roadmap Influence & Feedback Loop: Collect, analyze, and communicate the technical requirements and challenges of ISVs, OEMs and partners back to NVIDIA’s internal product teams to directly influence the roadmaps.
• Lead weekly pipeline and revenue growth calls with the partners you are managing.
• Assist with the enterprise Light House Accounts (LHAs) process with the partners for NVIDIA AI software globally. Partner with the NVIDIA Industry Business Development (IBD) and regional sales teams.

What we need to see:

• Bachelor's degree or equivalent experience
• 12+ years of sales and/or business development experience
• 7+ years of proven experience in leading a business development team.
• AI Software sales experience in cloud and on-prem environments
• Deep understanding of software development lifecycle, developer enablement, software integration, commercialization
• Proven history of integrating software and developing solutions with ISVs. Demonstrated ability to provide thought leadership, think strategically, and effectively communicate vision
• Comparative understanding of cloud, on-premises, and hybrid cloud environments
• Excellent verbal and written communication skills
• Ability to efficiently get things done with a distributed team

Ways to stand out from the crowd:

• Understanding of AI and data science workflows, including NVIDIA AI SDK and Frameworks (NeMo, Riva, NIMs, Triton, RAPIDS, Omniverse, CUDA-X Libraries)
• Previous role driving AI adoption at an ISV, selling open source software (OSS), or building joint GTM plays with hyperscalers.
• Background in enterprise SaaS sales, consulting, or technical pre-sales with an AI/ML focus.
• Passion for transforming enterprise workflows through AI.
• Consistent record of delivering joint revenue growth through ISV partnerships.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 296,000 USD - 448,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

NVIDIA data centers are powering the most sophisticated, groundbreaking research and AI products for the company. We are looking for a Senior Product Manager with exposure to accelerated computing, storage and system design. This role operates at the hardware–software boundary of the most advanced computer systems in the world. As demand for compute grows while power and space plateau, the future of data centers depends on innovation across all layers of silicon and platform design. To elevate the quality, security, economics, and capabilities of accelerated computing platforms, we rely on close partnerships with internal teams, customers, and partners across the design cycle. This role reports to the Product Management team for NVIDIA DGX Platforms!

What you will do doing:

• Collaborate with key data storage and manufacturing partners in co-developing and bringing to market new solutions based on recently announced STX systems.
• Leverage strong technical background to define product requirements by understanding AI storage use cases, AI factory requirements, and cross-team input within NVIDIA.
• Develop and own a comprehensive roadmap for STX systems.
• Work with engineering to improve the state of art in Reliability, Availability and Serviceability of STX systems.
• Tell Our Story, from Marketing to R&D: Work with technical marketing and develop internal reporting content that effectively communicates performance outcomes. Ensure content is clear, accurate, and tailored to the audience, whether it be internal partners or potential clients.

What we need to see:

• BS or MS in engineering, computer science, or another technical field (or equivalent experience). MBA is a plus.
• 12+ years of total experience in technology industry with product management or engineering experience in data storage technologies, system designs, unstructured and structured data solutions and knowledge of the industry landscape.
• Deep understanding of system designs and familiarity with accelerated compute, network and storage technologies.
• Working knowledge on open source and proprietary Generative AI technologies, frameworks and stacks.
• Ability to Grapple with the Unknown: role definitions and product needs are very fluid, and paths to success will lack clear definition at times— especially in flat cultures like NVIDIA. For the right person, this is an opportunity to experience incredible breadth, and to “choose your own adventure.”
• Analytical Thinking: able to build objective measurements of schedules, economic trade-offs, and competitive insights.
• Collaboration: we are all here to work on incredible tech that sparks joy, and to take pride in getting stuff done. There is more than enough impact and scope for everyone to be successful doing it — hero PMs help the product, their partners and their colleagues succeed together.

Ways to stand out from the crowd:

• Experience in developing new system products and bringing them to market.
• Recent experience in key data center technologies such as GPU acceleration of unstructured and structured data solutions, NVIDIA’s network products and AI Factory designs.
• Developing and running benchmarks for AI use cases.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for an experienced and collaborative Developer Relations Manager to help accelerate adoption of NVIDIA’s AI and computing platforms across global developer ecosystems. Engage with software developers, cloud providers, and tech collaborators to develop innovative solutions. Ideal candidates possess solid technical skills alongside proven expertise in go-to-market strategy, encouraging others to support developers and highlighting how NVIDIA technology can address large-scale challenges effectively.

What You'll Be Doing:

• Assist and advocate for developers at a major Cloud Service Provider, encouraging the use of NVIDIA platforms.
• Accelerate key workloads by demonstrating innovative solutions that integrate the NVIDIA stack into developer tools, products, and workflows.
• Design and recommend technical enablement resources—such as sample code, demos, guides, and pipelines—that make NVIDIA technologies more accessible and practical for real-world use.
• Support partners and startups through onboarding, integration, and co-innovation within NVIDIA programs, helping them deliver breakthrough applications.
• Track and map developer ecosystems to uncover growth opportunities, influence technology strategies, and guide product adoption.
• Partner with engineering, product management, marketing, and solution architects to build developer engagement programs and optimize go-to-market approaches.
• Collaborate with partner technical leaders and decision-makers to align on goals, resolve challenges, and champion guidelines for reliable integrations.
• Represent the voice of partners by providing practical feedback and insights to NVIDIA product and engineering teams, crafting roadmaps with real-world use cases.

What We Need to See:

• Bachelor’s, Master’s degree or PhD. in Computer Science, Engineering, or related field, or equivalent experience.
• 12+ yrs overall experience with 5+ yrs experience collaborating with cloud service providers and multinational companies.
• Demonstrated achievement in guiding and growing developer initiatives at technology firms, major cloud services, ISVs, or specific vertical markets.
• Strong technical background in high-performance computing, AI/ML, cloud, and/or industry-specific frameworks and libraries.
• Excellent interpersonal skills with an ability to adapt sophisticated technical ideas for diverse audiences—from engineers to executives.
• Experience guiding technical collaborations with engineering and product teams, including architectural reviews, mentorship, and delivering workshops or technical talks.
• Proven track record to lead large-scale technical projects, balance priorities, negotiate requirements, and collaborate effectively across sales, product, legal, and marketing teams.

Ways to Stand Out from the Crowd:

• Direct experience developing or optimizing vertical-specific solutions (e.g., data pipelines, network stacks, real-time bidding systems).
• Familiarity with GPU acceleration and sophisticated AI platforms (CUDA, Triton, NeMo, DOCA, etc.).
• A track record of building systems for real-time processing and low-latency decision-making.
• Recognized success in growing and scaling developer communities, with measurable impact through technical enablement programs.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

NVIDIA is seeking outstanding Senior Design Verification Engineers with a specialty in tools and automation to drive efficiency and collaboration among our High Speed IO engineering teams.  This position offers the opportunity to have a big impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to artificial intelligence to self-driving cars and supercomputers.

Our DV infrastructure and methodology team automates, analyzes, and optimizes the verification and deployment of next-generation hardware and firmware designs throughout Nvidia.

What you’ll be doing:

• Improve the speed, flexibility, and extensibility of the High-Speed IO front end integration, build, and verification flows
• Apply best in class internal and industry tools to enable flows that simplify work processes
• Find out needs of the team and create solutions; explain to the team how to maximize productivity with the tools you provide
• Keep the High-Speed IO Continuous Integration system at the cutting edge of industry techniques
• Collaborate with architects, designers, verification engineers, as well as methodology and infrastructure engineers to accomplish your tasks
• Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity
• Remove inefficiency wherever you can find it!

What we need to see:

• Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering or closely related degree (or equivalent experience)
• 5+ years of relevant industry experience
• Exposure to computer architecture, ASIC design, and verification methodology is required
• Experience with verification methodology (UVM or similar)
• Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi interactive, Debussy, GDB)
• Programming proficiency in Python, Perl, or other Systems Programming language
• Fluency in Object Oriented Programming with SystemVerilog
• Experience with Make based build systems in large, distributed computing environments
• Experience with Continuous Integration pipelines
• You should display a tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environment

Ways to stand out from the crowd:

• Experience delivering IP to multiple GPUs/SoCs in parallel
• Experience creating shareable and maintainable Continuous Integration pipelines in Jenkins
• Strong verification mindset and intuition
• Experience applying AI to solve problems or implementing agentic AI flows

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working with us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field!

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Our physical AI team is building groundbreaking platforms spanning automotive autonomous driving and humanoid robotics. As a Senior SOC Product Architect for Physical AI Platforms you will define the SoC architecture for embedded computer vision and AI systems that power next-generation production vehicles and humanoids. Your work will span NVIDIA’s physical AI computing devices and systems. You will collaborate with leading OEMs and Tier 1s to convert real-world AI requirements in driving and robotics into scalable, safe, and efficient compute platforms. This role is both highly technical with high visibility, with impact spanning product roadmap, customer design wins, and industry direction.

What you’ll be doing:

• Lead the end-to-end SOC product architecture for physical AI systems from sensors through actuation and in-vehicle/edge/cloud integration.
• Perform detailed use-case and workload analysis; map requirements into new hardware features and software capabilities needed to close gaps.
• Define system requirements and platform configurations, and drive recommendations into the SoC roadmap and product software roadmap.
• Lead deep benchmarking and competitive analysis of physical AI systems, including performance, perf/W, cost, and scalability, to advise product positioning and customer proposals.
• Present deeply technical content to customers and internal leadership, articulating architectural tradeoffs, safety concepts, and roadmap proposals to both expert and non-expert audiences.
• Build clear written engineering specifications and technical documentation for customers and internal engineering teams, including requirements, interface definitions, and configuration guidelines.
• Provide technical leadership and mentorship across the physical AI organization (automotive and humanoid robotics), setting the standard on system architecture practices, reviews, and design methodologies globally.

What we need to see:

• MS in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience.
• 25+ years of relevant experience in ADAS/autonomous driving, automotive embedded systems, humanoid robotics, or closely related physical AI domains, including significant time as a system or product architect for production automotive platforms.
• Proven experience architecting embedded SoC- or GPU-based platforms for automotive perception and AD, including mapping modern convolutional and transformer-based neural networks across GPU/DLA/NPU/ISP and other accelerators.
• Hands-on familiarity with modern LLMs, VLMs, and VLAs for physical AI, including sensor (camera, radar, lidar) data flow, pre-/post-processing, and optimization for embedded inference.
• Demonstrated experience applying ISO 26262 functional safety and SOTIF ISO/PAS 21448 system safety to real programs, from concept and safety architecture through implementation and validation.
• Extensive experience influencing hardware and software roadmaps and driving decisions across architecture, silicon design, software, safety, and product teams.
• Evidence of industry impact, such as leading major OEM/Tier 1 design wins, defining reference architectures used broadly in the market, publishing technical work, or contributing to standards/industry bodies.

Ways to stand out from the crowd:

• Direct experience with high-performance automotive SoCs, including bring-up and optimization of automated driving stacks.
• Leadership of architectures that use multi-sensor fusion and end-to-end / transformer-based models for world modeling and motion planning in production or advanced development programs.
• Deep involvement in ADAS/AD safety and regulatory frameworks, such as Euro NCAP, NCAP protocols, or OEM-specific safety concepts for L2–L4 systems.
• Prior role as a visible technical evangelist for physical AI (automotive compute, autonomous driving, and/or humanoid robotics), for example through conference talks, key customer workshops, whitepapers, or industry consortia.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ ​

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 384,000 USD - 575,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.