Sr Systems Engineer

Systems Engineering, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Senior Systems Engineer is a senior technical leader within the Enterprise Collaboration Applications team, responsible for architecting, automating, and evolving critical enterprise platforms used across the organization.

This role moves beyond traditional application administration. It focuses on building scalable, secure, and well-governed platforms through automation, configuration-as-code, and system integrations. This role enables a shift-left operating model by designing guardrails, self-service capabilities, and delegated administration frameworks that empower business stakeholders while maintaining centralized governance and compliance.

You will serve as the technical authority for assigned platforms, driving architecture decisions, automation strategy, and long-term platform roadmaps to ensure operational excellence and business alignment.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• Serve as the technical owner and platform authority for enterprise collaboration applications (e.g., Google Workspace, Slack, Microsoft 365, Zoom, etc.)
• Architect and develop Python-based automation for provisioning, governance, reporting, integrations, and lifecycle management
• Implement and maintain configuration-as-code and policy-as-code frameworks for application settings and controls
• Design scalable guardrails that enable delegated or federated administration while preserving enterprise governance
• Build and maintain integrations using APIs, webhooks, SDKs, and event-driven workflows
• Define and enforce enterprise standards, security controls, and operational best practices for collaboration platforms
• Own application roadmaps, feature evaluations, usage analytics, capacity planning, and lifecycle strategy
• Partner with Security, Privacy, Legal, and Compliance teams to embed regulatory and data-protection controls into platform design
• Lead large-scale migrations, consolidations, and platform modernization initiatives
• Drive buy vs. build decisions, including evaluation of SaaS, third-party, and GenAI-enabled capabilities
• Establish observability, monitoring, and operational readiness frameworks
• Lead incident response, root cause analysis, and systemic remediation for platform issues
• Manage vendor relationships, roadmap alignment, escalations, and executive-level engagements
• Create and maintain architectural documentation, automation standards, and operational runbooks
• Mentor engineers and administrators in automation-first and platform engineering best practices

---- Basic Qualifications ----

• Bachelor’s degree in Computer Science, Engineering, or related field
• 6+ years of experience managing and engineering enterprise-critical SaaS platforms
• Strong hands-on Python development experience (required)
• Experience working with REST APIs, OAuth, service accounts, and webhooks
• Strong understanding of enterprise SaaS governance, identity models, access lifecycle management, and security controls
• Ability to operate cross-functionally with Security, Compliance, Infrastructure, and business stakeholders

---- Preferred Qualifications ----

• Experience administering enterprise collaboration platforms (Google Workspace, Slack, Zoom, Microsoft 365, etc.)
• Experience implementing configuration-as-code or infrastructure-as-code principles (e.g., Terraform or custom frameworks)
• Experience designing delegated administration or federated governance models
• Experience evaluating and operationalizing Generative AI capabilities within enterprise SaaS platforms
• Knowledge of identity, access management (IAM), SSO, SCIM provisioning, and role-based access control frameworks
• Experience operating in large, complex enterprise environments with tier-0/1 systems
• Strong documentation, communication, and stakeholder leadership skills

For San Francisco, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Security Engineer

Security Engineer, Engineering

in Seattle, Washington

• Full Time

Apply Now

About the Role

Uber is seeking a Senior Security Engineer to join our Application Security team. In this role, you will help evolve and extend Uber’s already highly automated AppSec platform by designing and deploying next-generation capabilities, including AI-driven vulnerability scanning, agent-based discovery, and intelligent asset indexing. You will build and operate security automation that continuously identifies vulnerabilities such as XSS, SQLi, CSRF, SSRF, and more across Uber’s application ecosystem.

You will apply strong software engineering fundamentals to build production-grade systems that raise the security bar across Uber’s mobile and web applications. This role offers the opportunity to collaborate closely with engineers across the company, mentor junior team members, make a measurable impact on Uber’s security posture, and continue growing both your software engineering and security expertise.

---- What the Candidate Will Do ----

1. Design, build, and deploy large-scale automation to discover, analyze, and remediate security vulnerabilities across thousands of services.
2. Design end-to-end systems and features for application security platforms, including secret discovery, code scanning, and vulnerability remediation.
3. Identify security-sensitive functionality and coverage gaps across applications and services, and develop automation to close those gaps.
4. Research novel attack techniques and security weaknesses, and automate their detection using innovative tools and approaches.
5. Build distributed backend systems that power real-time analytics and data-driven security insights at Uber scale.
6. Collaborate closely with engineering teams and stakeholders across Security, Privacy, Compliance, Infrastructure, and Product to integrate security capabilities into Uber’s platform.
7. Provide guidance to application and service owners to remediate identified security issues.
8. Perform threat modeling, design reviews, and code reviews to assess security risks in new and existing systems.
9. Mentor junior and new graduate engineers.

---- Basic Qualifications ----

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 5+ years of professional experience in software engineering.
3. Strong programming experience in one or more languages such as Go, Java, C, or Python (Go preferred).
4. Experience identifying and remediating common security vulnerabilities (e.g., OWASP Top 10).
5. Solid understanding of service-oriented and distributed system architectures.
6. Experience designing and implementing REST APIs.
7. Experience with datastore technologies, including relational and NoSQL databases.
8. Familiarity with distributed messaging systems (e.g., Kafka or similar).

---- Preferred Qualifications ----

1. Master’s degree (or Ph.D.) in Computer Science, Engineering, or a related field.
2. Experience designing, implementing, and operating production-quality distributed systems.
3. Experience building real-time data pipelines and analytics systems.
4. Experience integrating open-source security scanners and/or commercial security tools.
5. Expertise across multiple security domains, such as application, cloud, or systems security.
6. Experience performing threat modeling, design reviews, and code reviews.
7. Strong communication skills, with the ability to clearly articulate technical concepts to diverse audiences.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Enterprise Application Developer

Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

Uber Engineering is a high-performance culture marked by perseverance and hyperproductivity. We’re looking for team players with natural customer service intuition who can work harder, faster, and smarter while taking technical excellence to a whole new level. You should be pumped about building a global transportation marketplace that spans a wide range of cities — varying from 100,000 to 10 million people in size — with unique regulatory, technical, and business requirements.

Application Developer (Enterprise Applications)

Uber Engineering operates in a high-performance environment driven by scale, reliability, and speed. We’re looking for an Application Developer Engineer who thrives at the intersection of IT, SaaS administration, automation, and customer impact. This role owns the operational health, configuration, and lifecycle of Uber’s core enterprise applications while acting as the highest escalation point for complex application issues.

You will partner closely with Engineering, Security, IT Ops, and Business stakeholders to ensure Uber’s critical collaboration and productivity platforms run securely, efficiently, and at global scale.

This is not a traditional service desk role, it’s a hands-on application ownership role with real influence over tooling, processes, and user experience across Uber.

What you’ll be doing:

1. Act as primary application developer and technical owner for enterprise SaaS applications including (but not limited to): Google Workspace, Zoom, Slack, Figma, Asana, Jira, Confluence, ServiceNow, Okta / Identity-integrated applications

2. Manage application configuration, access models, permissions, integrations, and automation.

3. Own application lifecycle management: onboarding, offboarding, renewals, vendor coordination, and feature rollouts.

4. Serve as Super Admin with the highest level of access to supported applications.

5. Resolve complex, escalated L3 application issues beyond standard troubleshooting.

6. Lead incident response for enterprise application outages or degradations.

7. Design and implement automation and integration workflows using JavaScript, Python, APIs, and Enterprise AI applications (Gemini, ChatGPT, Claude, Claude Code, MCP) to reduce manual effort and improve reliability.

8. Analyze ticket and usage data to identify trends, systemic issues, and opportunities for optimization.

9. Possess strong programming language knowledge, including Python, JavaScript, Java, and SQL.

10. Demonstrate strong knowledge of databases such as BigQuery and Apache Hive.

11. Act as the bridge between IT Engineering, Service Desk, Security, and Business stakeholders.

12. Provide actionable feedback to IT Engineering leadership on application pain points and improvement opportunities.

13. Own internal and external-facing documentation for enterprise applications.

14. Develop and maintain runbooks, SOPs, and escalation guides.

15. Ensure procurement and licensing processes follow logistics and compliance guidelines.

16. Perform additional duties as assigned to support enterprise application operations.

---- Basic Qualifications ----

1. 4+ years of IT or Enterprise Application Developer experience.

2. 3+ years supporting SaaS platforms at scale with admin-level access.

3. Strong scripting or coding skills (Python, Bash, APIs).

4. Strong knowledge of Enterprise AI applications, including Gemini, ChatGPT, Claude, Claude Code, and MCP.

5. Familiarity with identity and access management (Okta, AD, SSO, SCIM).

6. Proven experience acting as an escalation point for complex technical issues.

7. Strong documentation, training, and communication skills.

8. Ability to respond quickly to incidents and operate effectively in high-pressure situations.

9. Willingness to participate in on-call rotations and work outside standard business hours when needed.

---- Preferred Qualifications ----

1. 4+ years of experience in Enterprise Application Development or Software Engineering.

2. Demonstrated expertise in building and deploying automation using Python, JavaScript, and APIs.

3. Experience with data warehousing and querying large datasets (BigQuery, Hive).

4. Hands-on experience with version control systems (e.g., Git) and CI/CD tools.

5. Deep knowledge of Linux environments and cloud platforms (e.g., GCP, AWS).

6. Minimum of 3-4 years’ experience with escalations, process efficiency, and Tier 3 support.

7. Bachelor's Degree in Computer Science, or equivalent combination of education and experience.

8. Strong problem solving, organization, and project management skills.

9. Ability to take initiative and work independently, as well as part of a team.

10. Excellent verbal and written communication skills.

11. Willingness to participate in on-call rotations and work outside standard business hours when needed.

For San Francisco, CA-based roles: The base salary range for this role is USD$133,000 per year - USD$140,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$133,000 per year - USD$140,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Uber’s Customer Obsession (CO) org is hiring <strong>Senior Software Engineers</strong> to help build and scale one of the world’s largest <strong>AI-powered customer engagement platforms</strong>. Our systems power <strong>millions of real-time interactions</strong> across web, mobile, chat, voice, and video for riders, eaters, merchants, couriers, and support agents worldwide.</p>
<p>You’ll work at the intersection of <strong>state-of-the-art AI</strong> and Uber’s production-grade engineering infrastructure to deliver <strong>conversational assistants</strong> that are personalized, empathetic, and human-like—while staying aligned with Uber’s business policies and compliance requirements. This is a high-visibility opportunity to shape the next generation of customer assistants and ship products that make a measurable impact at global scale.</p>
<h2><strong>What You'll Do</strong></h2>
<p>We’re looking for a technically strong, product-minded engineer with experience building chatbots and customer-facing systems. You’ll design and deliver <strong>scalable, reliable, and maintainable conversational experiences</strong> by combining <strong>LLM prompting</strong>, Uber’s assistant-building platforms, and robust backend services.</p>
<p>In this role, you will:</p>
<ul>
<li><p><strong>Own and operate customer-facing systems</strong> that influence the support experience for millions of users</p></li>
<li><p>Drive end-to-end execution: identify ecosystem changes needed across Uber engineering, align stakeholders, build consensus, and deliver production-ready implementations</p></li>
<li><p>Build and scale <strong>full-stack systems</strong> that embed AI into real customer workflows and solve distributed systems challenges under heavy traffic</p></li>
<li><p>Help reduce issue resolution from <strong>minutes to seconds</strong> by improving automation quality, reliability, and user experience</p></li>
</ul>
<p>If you’re excited by autonomy, technical depth, and building products that improve experiences for millions of users every day, this is a chance to do meaningful, visible work at global scale.</p>
<h2><strong>Basic Qualifications</strong></h2>
<ul>
<li><p><strong>BS degree or higher</strong> in Computer Science or a related field (or equivalent practical experience)</p></li>
<li><p>5+ years of industry experience as a Software Engineer building scalable, highly available platforms</p></li>
<li><p>Expertise with <strong>large-scale distributed systems</strong> (e.g., Kafka) and cloud platforms ( <strong>AWS, GCP, Azure</strong>) and proven track record leading the delivery of <strong>production-grade systems</strong> (deployment, monitoring, reliability, on-call readiness, incident learning)</p></li>
<li><p>Proficiency in at least one: <strong>Golang, Scala, or Java and</strong> comfortable with scripting in <strong>JavaScript and/or Python</strong></p></li>
<li><p>Strong experience with <strong>microservices</strong> and <strong>gRPC/REST API</strong> design, including defining durable interfaces and platform standards</p></li>
<li><p>Excellent cross-functional communication

skills

crisp design docs, architecture reviews, stakeholder alignment, and technical decision-makings</p></li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li><p>Experience with <strong>machine learning, GenAI, and/or LLM-based systems</strong></p></li>
<li><p>Prior work building <strong>conversational assistants</strong> or chatbot platforms</p></li>
<li><p>Familiarity with dialog management systems (e.g., <strong>Google Dialogflow</strong>, <strong>Amazon Alexa</strong>)</p></li>
<li><p>Familiarity with multi-channel integrations (e.g., <strong>WhatsApp, SMS, Slack</strong>)</p></li>
</ul>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>The Earner Trip Experience (Tripex) team builds the core engine that powers seamless on-trip experiences for millions of Earners worldwide. As a <strong>Senior Software Engineer - Backend (L5)</strong>, you will be a technical leader responsible for architecting the highly scalable platforms, SDKs, and APIs that define how Earners interact with the Uber marketplace. You won't just build features; you will create the foundational infrastructure that allows cross-functional teams to build atop our trip technology reliably and efficiently.</p>
<p>What you will do</p>
<ol>
<li><strong>Lead Technical Strategy:</strong> Architect and own the backend services and SDKs that power the Earner trip lifecycle—from dispatch through completion.</li>
<li><strong>Build Platforms:</strong> Create reusable frameworks and APIs that enable other Uber teams to plug into the trip experience without reinventing the wheel.</li>
<li><strong>Drive XFN Collaboration:</strong> Act as the primary technical point of contact for complex initiatives, aligning roadmap requirements between backend, mobile, and product stakeholders.</li>
<li><strong>Scale Systems:</strong> Optimize system performance and reliability to handle peak global traffic, ensuring a 99.99% uptime for mission-critical Earner workflows.</li>
<li><strong>Champion Quality:</strong> Set the bar for code quality, architectural reviews, and comprehensive testing strategies within the Tripex organization.</li>
</ol>
<p>Basic Qualifications</p>
<ol>
<li><strong>5+ years</strong> of professional experience in backend software engineering.</li>
<li>Proven expertise in designing and building <strong>highly scalable, distributed systems</strong> using languages like Go, Java, or C++.</li>
<li>Demonstrated experience in <strong>Platform and SDK/API design</strong></li>
<li>Experience leading complex projects that require <strong>cross-team and cross-functional (XFN)</strong> collaboration with Product, Design, and Data Science.</li>
</ol>
<p>Preferred Qualifications</p>
<ol>
<li>Experience building and maintaining <strong>large-scale platform abstractions</strong> that support multiple client types</li>
<li>Deep understanding of microservices architecture, including concurrency, consistency models, and high-availability patterns.</li>
<li>Track record of mentoring junior and mid-level engineers (L3/L4) and driving engineering excellence across a Broad organization.</li>
<li><strong>Applied AI

Experience

</strong> Proven track record of building user experience leverage AI, deploying and scaling Machine Learning models in production environments</li>
</ol>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Software Engineer

Backend, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

You will drive the development and operations of security services and frameworks that protect Uber’s user-facing products and core platforms. This role is ideal for a strong software engineer with a machine learning background who is excited to apply ML/GenAI techniques to real-world security problems at scale.

The security landscape evolves constantly—and with the rise of ML/GenAI and the growing volume of heterogeneous signals (logs, events, graph data, identity signals, endpoints, network telemetry), the attack surface expands just as quickly. You will design and build robust, scalable systems and data pipelines that enable detection, investigation, and automated response—turning noisy telemetry into actionable security insights. You’ll collaborate closely with security leadership and partner engineering teams to embed security-by-design across Uber’s technology stack.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Build ML-powered security systems: Design, develop, and operate software and services that improve Uber’s security posture, with a focus on detection, classification, and risk scoring.
2. Develop backend infrastructure and ETL pipelines: Build reliable data ingestion, transformation, and feature pipelines to support security analytics and machine learning workflows.
3. Productionize ML for security use cases: Help take models from experimentation to deployment—owning performance, scalability, monitoring, and model/data quality in production.
4. Code review and testing: Maintain high engineering standards through design reviews, code reviews, testing, and operational excellence.
5. Cross-functional collaboration: Partner with teams like network operations, incident response, and compliance to ensure cohesive, end-to-end security outcomes.

---- Basic Qualifications ----

1. BS/MS in Computer Science or a related field
2. 5+ years of industry experience in a software development environment
3. Proficiency in one or more of Java, Golang, SQL, Python
4. Hands-on experience building and operating distributed systems
5. Hands-on experience with machine learning (e.g., feature engineering, training/evaluation, or deploying models)
6. Experience leading projects with global, cross-functional stakeholders
7. Experience mentoring and guiding junior engineers

---- Preferred Qualifications ----

1. Experience with security detection engineering (threat detection, alerting, triage) and/or threat emulation
2. Experience with streaming data processing
3. Experience with deep learning and/or LLM/GenAI approaches applied to security signals
4. Experience with anomaly detection, graph-based detection, or statistical/ML methods for identifying abuse or attacks

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Machine Learning Engineer – AV Labs

Machine Learning, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a Senior ML Engineer, you will be at the forefront of Physical AI, developing core components of our Autonomous Driving stack. You will be responsible for the development and implementation of the latest machine learning techniques across the autonomy systems. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. You will collaborate with engineers across big data, compute, and cloud engineering to build platforms that harness scale and real-world complexity to reimagine how the world moves.

What the Candidate Will Do

• Autonomous Driving Algorithm Development: Lead the development of algorithms to tackle complex urban environments, focusing on robustness and safety.
• End-to-End AI Implementation: Implement end-to-end AI-driven state-of-the-art methods for autonomy pipelines, leveraging massive-scale real-world data.
• Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies.
• Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability.
• Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
• Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

Basic Qualifications

• 4+ years of working experience in the ML/Robotics industry.
• Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
• Proficient in Python and Linux environments.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).

Preferred Qualifications

• Experience in the Autonomous Driving domain.
• Proven track record of deploying ML models in safety-critical physical systems.
• Master’s or PhD degree in Computer Vision, Robotics, or Machine Learning.
• Familiarity with C++ and high-performance computing.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer - Autonomous

Backend, Engineering

in San Francisco, California

• Full Time

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About the Role

The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber’s Rides and Eats business. As we move towards a world where autonomous and human-driven vehicles coexist, Uber is tackling the challenge of building a hybrid marketplace that seamlessly integrates autonomous vehicles into the existing mobility and delivery ecosystem. This requires a delicate balance of optimizing experiences across human and AV drivers, ensuring the marketplace remains reliable, efficient, and scalable.

Our team touches nearly every surface and core service Uber provides. Over the past year, we’ve also partnered with some of the leading Autonomous Vehicle OEMs, enabling successful integrations in both Mobility and Delivery. As we look ahead, we expect significant business growth and are looking for a Staff Software Engineer to help drive this journey forward.

---- What You Will Do ----

1. Set the technical vision and lead the development of scalable systems that balance heterogeneous supplies of a hybrid marketplace.
2. Architect complex, distributed systems that handle the challenges of AV and human fleet coordination, ensuring Uber’s platform is robust, reliable, and ready for large-scale autonomous deployments.
3. Lead high-impact projects that span multiple teams and disciplines, collaborating with product, data science, operations, and external partners to drive innovation and deliver business-critical solutions.
4. Design and optimize algorithms that solve core marketplace problems such as routing, matching, pricing, and positioning, while ensuring AV and human vehicle operations work seamlessly together.
5. Innovate and lead the development of platform features that leverage autonomous vehicle data, pushing the boundaries of what is possible in mobility and delivery systems.
6. Mentor and guide senior engineers, driving the technical excellence of the team and fostering a culture of innovation and high performance.
7. Collaborate across the organization to ensure that autonomous components integrate smoothly into Uber’s broader ecosystem, setting the stage for years to come.

---- Basic Qualifications ----

1. Minimum 6+ years hands-on experience with backend development
2. Grit, drive and a deep feeling of ownership.
3. Expertise in system design and architecture, with the ability to lead the development of complex, scalable systems.
4. Strong leadership skills with a proven track record driving large, cross-functional projects and aligning stakeholders around a technical vision that delivers significant business impact.
5. A focus on impact, with a history of making strategic decisions that align with business goals and deliver measurable outcomes.

---- Preferred Qualifications ----

1. Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
2. Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
3. Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
4. Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
5. Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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Sr Machine Learning Engineer, Pricing

Machine Learning, Engineering

in Seattle, Washington

• Full Time

Apply Now

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Collaborate with the team leads to set the team’s technical direction and own its implementation, providing technical mentorship to junior engineers
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)

Preferred Qualifications

• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Experience leading complex technical projects and influencing the scope and output of others
• Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
• Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
• Experience in reinforcement learning and causal machine learning

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

The impact you’ll make

In this role, you will directly contribute to the reliability, scalability, and operational excellence of Lam’s Enterprise AI services. As a hands-on technical lead, you will modernize AI operations through observability, automation, and strong engineering discipline, helping ensure AI services are resilient, production-ready, and able to scale effectively across the company. Your work will strengthen incident response, improve service health and readiness, and drive continuous improvement in how Enterprise AI services are operated and supported.

What you’ll do

• Own hands-on technical operations for Enterprise AI services, ensuring platforms are reliable, maintainable, and ready for production scale.
• Lead incident triage, technical troubleshooting, service restoration, and root cause analysis for complex production issues affecting AI platforms and services.
• Build and enhance monitoring dashboards, alerting strategies, health checks, and operational views across Azure services using Application Insights, Azure Monitor, Log Analytics, and KQL.
• Query logs, analyze telemetry, and identify patterns and failure modes to improve detection, response speed, and long-term reliability.
• Improve operational automation using Python, PowerShell, and AI-driven approaches to reduce manual effort and strengthen AI Ops maturity.
• Partner with engineering teams to review architecture, improve operability, strengthen release readiness, and drive remediation of recurring reliability and support issues.
• Develop and maintain runbooks, support procedures, and operational standards that improve L1/L2/L3 effectiveness across internal teams and service partners.
• Support change and release processes through readiness reviews, production validation, and post-release monitoring, using enterprise workflows and ticketing systems such as Jira and ServiceNow.
• Ensure operational processes, controls, and artifacts are audit-ready and support enterprise compliance requirements; support BCP/DR readiness through recovery validation, runbook updates, and failover testing.

Who we’re looking for

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Strong hands-on experience supporting cloud-based production platforms in Microsoft Azure.
• Experience with Application Insights, Azure Monitor, Log Analytics, and Kusto Query Language (KQL) for troubleshooting, telemetry analysis, and operational monitoring.
• Strong scripting or automation experience using Python and/or PowerShell.
• Experience supporting CI/CD pipelines, production releases, and operational readiness practices.
• Experience leading incident triage, root cause analysis, and direct remediation for complex production issues.
• Strong communication skills with the ability to translate technical issues into clear updates for engineering teams, stakeholders, and leadership.

Preferred qualifications

• Experience supporting AI/ML or generative AI platforms, including services built with Azure OpenAI.
• Experience with Azure API Management and operational support for API-based services.
• Experience supporting containerized or distributed services, including AKS/Kubernetes.
• Experience working with enterprise ticketing or ITSM platforms such as Jira and ServiceNow.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Salary

CA San Francisco Bay Area Salary Range for this position: $141,000.00 -  $307,000.00.

The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.