Job Description

About the Team:

The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation of state-of-the-art (SOTA) machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high-impact, ML-centric use cases.

About the Role:

We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation, data labeling, and data generation workflows. In this role, you will focus on scaling, driving efficiency, and high utilization of cutting-edge GPUs, while also leveling up the platform’s reliability. The successful candidate will have experience building and running scalable distributed systems. They will rapidly test and promote ideas, have strong problem-solving skills, and a strong bias for action.

You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our ML simulation and hardware-in-loop validation needs. The ideal candidate brings experience in designing distributed systems, strong problem-solving skills, and a product mindset focused on platform efficiency and reliability. This is a high-impact opportunity to influence the future of AI infrastructure at GM.

What you’ll be doing:

• Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.

• Own the technical roadmap, lead technical decisions on Compute architecture, caching, capacity provisioning, and auto-scaling mechanisms.

• Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization.

• Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques.

• Lead large-scale technical initiatives across GM’s ML infrastructure.

• Raise the engineering bar through technical leadership and by establishing best practices.

At a Minimum We'd Like You To Have

• 8+ years of industry experience, with a focus on high performance backend services.

• Strong expertise in container technologies like Docker and Kubernetes.

• Strong expertise in Go, or other similar coding languages.

• Experience working with cloud platforms such as GCP, Azure, or AWS.

• Experience in delivering cross-functional initiatives.

• Strong communication skills and a proven ability to drive cross-functional initiatives.

• Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.

It's Preferred If You Have

• Hands-on experience with Cloud VM services Google Compute Engine.

• Experience with hardware-in-the-loop validation systems.

• Experience with high performance computing (HPC).

• Familiarity with telemetry, and other feedback loops to inform product improvements.

• Familiarity with hardware acceleration (GPUs) and optimizations.

Why Join Us?

If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
·     The salary range for this role: is $197,000 to $326,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
·     Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
·     Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

The SaaS Collaboration Platforms (SCP) organization provides a broad set of technology products and services to GM Software & Services. Within SCP, the Self‑Service Automation Tools team manages the enterprise password management platform (1Password) and builds day‑two automation for systems administrators—covering patching, release management, application restarts, password rotations, and other intricate orchestrations.

The Self‑Service Automation Tools team has established a strong portfolio of capabilities that have transformed IT—and we’re just getting started. We’re looking for an engaged, high‑energy engineer with a broad toolset and modern development experience to help carry the team forward toward GM’s vision.

You will be a key owner of GM’s enterprise credential management and automation capabilities, responsible for secure credential storage, best‑practice vault management, and driving adoption across the enterprise. You’ll help manage and integrate the 1Password SaaS platform with GM systems, design automation workflows (including AI‑assisted experiences), and deliver self‑service capabilities that make IT more secure and efficient. You’ll also contribute to our security lifecycle by ensuring third‑party applications and operating systems align to GM’s IT Statement of Technical Direction. You’ll work with a team of dedicated engineers and help nurture a culture of integrity, innovation, forward‑thinking, accountability, and inclusivity.

What You’ll Do

• Administer and maintain 1Password Enterprise accounts, vaults, roles, and policies.
• Design & build secure, scalable microservices and user‑friendly front‑ends for self‑service automation (password management and rotations, patching, release management, app restart, automation workflows).
• Integrate 1Password with identity providers to manage user provisioning/de‑provisioning.
• Implement AI‑driven features and workflow automation to streamline 1Password and broader self‑service capabilities.
• Lead architecture for large‑scale cloud software systems; set coding standards and best practices.
• Monitor adoption and produce usage/impact reports for leadership; define and track KPIs.
• Ensure reliability and high availability of system and self-service automation capabilities; proactively prevent/mitigate failures.
• Operate with Tier 2/3 support responsibilities: on‑call, incident management, troubleshooting, root cause analysis.
• Instrument & observe production systems (logging, metrics, tracing) and enforce operational excellence.
• Collaborate across IT Security & Compliance, product, business, DevOps, and engineering teams.
• Participate in Agile planning; maintain documentation for automation processes and environments.
• Evaluate & recommend new tools/technologies to expand system capabilities and improve developer productivity.
• Mentor junior engineers; provide technical leadership, code reviews, and guidance.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s or Master’s in Computer Science, Software Engineering, or related field.
• 7+ years of software engineering experience with proficiency in Java and .NET.
• Expertise building end‑to‑end applications on cloud platforms, with strong familiarity with Kubernetes and OpenShift.
• In‑depth knowledge of microservices architecture and distributed systems.
• Proficiency in full‑stack development and CI/CD practices.
• Experience with both relational and non‑relational databases; strong schema design skills.
• Solid grounding in software engineering fundamentals: design patterns, data structures, algorithms.
• Experience working in Agile environments.
• Excellent verbal/written communication; ability to translate feedback and needs into solutions.
• Creative problem‑solving delivering efficient solutions to complex issues.
• Experience with IT Service Management tools (preferably ServiceNow) and integrating automation via orchestration tools.
• Proven ability to troubleshoot complex systems, manage incidents, and drive root cause analysis.
• Ability to work independently, manage multiple priorities, and collaborate across teams.
• Active participation in planning, code reviews, and design discussions; ownership of technical projects end‑to‑end.
• Strong teamwork focus and ability to foster collaboration.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Hands‑on experience with 1Password or other enterprise password management tools.
• 7+ years in IT Security, Identity Management, or Systems Administration.
• Front‑end/web: JavaScript, HTML/CSS, Angular, Node.js.
• Back‑end: .NET Core/C#, Java/Spring Boot.
• Databases: SQL, Postgres.
• Cloud & platform: Kubernetes, OpenShift.
• Build & pipelines: Maven, Git/GitHub, Artifactory; CI/CD pipelines.
• Observability & data: Redis (distributed cache), ELK (logging/analytics).
• API management experience.
• ServiceNow Flow Designer integration experience.
• Strong understanding of security best practices and compliance requirements.
• Familiarity with cloud‑based workload automation and hybrid environments.
• Experience with Enterprise Security concepts, implementation, and compliance.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

Our team is looking for a Senior AI/ML Engineer to be responsible for developing and deploying machine learning and statistical models and algorithms to support creating or enhancing map content for our ADAS/hands-free driving technology. It is expected that the person exerts technical leadership and guidance for the team in their area of expertise. This will include leveraging state-of-the practice tools and techniques to produce innovative solutions to complex problems.

What You'll Do:

• Design, build, and deploy predictive models and machine-learning algorithms to extract features, identify patterns, and classify outcomes using state-of-the-art frameworks and methods where practical
• Create and enhance map data and related pipelines using cloud infrastructure and high-performance compute platforms
• Analyze large datasets to discover trends and patterns
• Present complex information using data visualization techniques
• Conduct design, algorithm, notebook, and code reviews focused on machine learning and statistical analysis fundamentals, Python and relevant library best practices, and quality control and performance optimization principles.
• Document solution designs and development processes clearly and thoroughly
• Collaborate with other ML Engineers, Data Scientists/Analysts, Software Engineers, and Product team representatives to design E2E solutions and strategies involving machine learning frameworks and big data workflows.
• Provide technical guidance and subject matter expertise to team members and stakeholders

Your Skills & Abilities (Required Qualifications):

• Master’s Degree in Engineering, Computer Science, Physics, Mathematics, or related quantitative field
• 6 or more years proficiency in one or more core analytical tools / suites / languages such as Python, PySpark, Spark, PyTorch, TensorFlow, and understand their limitations
• Minimum of 4 years of engineering/technical experience outside of a graduate school assistantship
• Demonstrable proficiency in statistical modeling and machine learning frameworks and tools
• Strong foundation in developing algorithms, data structures, and design patterns.
• Experience working with cloud infrastructure, high-performance compute systems, and parallel compute and data storage architectures.
• Experience leading projects and/or teams and managing customer requirements around scope, schedules, and deliverables

What Can Give You a Competitive Edge (Preferred Qualifications):

• Proficiency in geospatial analysis and mapping, mobility and behavioral analysis, and/or active learning frameworks
• Experience using Databricks for managing big data assets and ML models
• Experience with AI-assisted coding tools for rapid development
• Experience with autonomous vehicle and/or ADAS technologies/systems and related vehicle data processing and analytics

Hybrid:

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI OR Austin, TX three times per week, at minimum or other frequency dictated by the business.

Relocation:

This job may be eligible for relocation benefits

Sponsorship:

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Staff Program Manager, Body Controls Choreography

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical Innovation Center (Warren, MI), or Milford Proving Ground (Milford, MI) three times per week, at minimum. This position can be located at either of these locations.

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

As a Staff Program Manager in the Body Software PMO, you will lead cross‑functional coordination across Body, Platform, Mechatronics, Hardware, and Infotainment teams to ensure seamless execution of Body-related software and system content. You will partner closely with the product quad [Design, Engineering, Product, and Program Management] to drive integrated plans, enable key technical discussions, and deliver high-quality program outcomes.

In this role, you will be primarily aligned to products and features requiring choreography of various interior and exterior body controls to deliver immersive in-cabin experiences and exciting vehicle approach choreographies. Such products include (not an extensive list): wellness modes, pet mode, car wash mode, and entertainment modes. You will drive intensive cross-functional collaboration and broad, systematic management across domains, organizations, and systems to ensure these products are conceived, integrated, and validated as cohesive end-to-end experiences.

What You’ll Do

• Build and maintain operational plans, track milestones, and proactively manage risks to ensure on-time delivery across all teams for Body Choreography deliverables.
• Drive alignment across product quads and support vehicle launch deliverables, issue resolution, and cross-team integration.
• Lead adoption of tools and operational rhythms (e.g., Jira Align Cloud, Jira).
• Conduct readiness reviews, launch syncs, and executive-level reporting leveraging PMO dashboards.
• Forecast resources, manage program risks, and ensure safety-critical software development compliance.
• Provide leadership with insights on dependencies, trade-offs, and overall program health.
• Facilitate regular syncs to ensure clarity on current priorities and upcoming initiatives.
• Travel between Toronto, Canada and Mountain View, California as needed (2–3x/year).

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Engineering, Computer Science, or related technical field, or equivalent experience
• 8+ years of experience in Program Management or Engineering
• 5+ years managing complex software or systems programs through full development-to-launch cycles
• Direct experience with Body systems (Cabin Thermal, Lighting & Visibility, Vehicle Access) in engineering or program management
• Proven ability to align cross-functional teams across product, engineering, supply chain, and operations
• Experience influencing within matrixed organizations with strong executive presence
• Expertise in Agile and Waterfall methodologies; proficiency with JAC, JIRA, Confluence, Smartsheet or similar tools
• Exceptional technical and non-technical communication skills with ability to present data-driven insights to leadership
• Demonstrated success operating in complex automotive systems environments
• Ability to drive a motor vehicle regularly
• Ability to travel (2 – 3x/year)

What will give you a competitive edge (Preferred Qualifications)

• Master’s degree in Engineering, Computer Science, or related field
• Experience with Platform engineering (Electrical Hardware, Chassis Software, Low Voltage, Mechatronics Infrastructure)
• Background in IVI, Infotainment, or automotive interface software/hardware integration
• Understanding of Software-Defined Vehicle architectures (software, electrical, communications)
• Experience in technical program management within R&D, manufacturing, or automotive product development (Trailering experience a plus)
• Ability to scale processes and operational systems to support evolving technology roadmaps
• Familiarity with systems engineering, validation cycles, and automotive safety standards

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.).

This job may be eligible for relocation benefits.

LI-LL2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation in the EV realm. Our Software Services team is on the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.

The Senior Manager, Client Platform Engineering leads the team that manages endpoints across macOS, Windows, Linux, and VDI to keep them secure, standardized, and easy to use. The role focuses on streamlined provisioning and secure, direct-to-app access so employees can be productive from anywhere, on any device.

You’ll own the strategy, roadmap, and delivery of our client platform: how devices are built, secured, managed, and updated at scale. Your team builds the tooling, automation, and standards that power our enduser experience — from zerotouch provisioning to secure access to critical apps without clunky VPNs.

This is an engineering heavy role (think platforms and automation, not “help desk”), working closely with Security, Networking, Infra, and Support.

What You’ll Do

Strategy & Ownership

• Define the longterm client platform strategy across macOS, Windows, Linux, and VDI.

• Own endpoint lifecycle: image/config design, provisioning, patching, compliance, and decommissioning.

• Drive standardization of base images, configurations, and policies while keeping things userfriendly and delightful.

• Support the move toward modern, cloudfirst management and zerotrust, directtoapp access, advocating AI-first behavior into team and org-wide fabric.

Team Leadership

• Lead, mentor, and grow a Client Platform Engineering team (engineers / admins / tech leads).

• Set goals, priorities, and operating rhythms (backlog, sprints, oncall, incident reviews).

• Build a culture of automation-first, reliability, and security with strong partnership across IT and Security.

Engineering & Operations

• Own and optimize endpoint management platforms (e.g., Intune/Endpoint Manager, Jamf, or similar).

• Implement automated, zero or lowtouch provisioning for laptops and VDI.

• Build and maintain configuration as code for device policies, profiles, and baselines.

• Design and run patching and software update strategies to hit aggressive compliance targets.

• Partner with Security to deploy and operationalize:

• EDR / AV / DLP

• Disk encryption

• Device compliance and posture checks

• Local admin and privilege controls

• Work with Network / Security to implement secure, direct-to-app access patterns (e.g., ZTNA, device posture, appbased access instead of fulltunnel VPN).

• Own the deployment and lifecycle of core client apps (productivity suites, collaboration tools, browsers, agents).

Governance, Risk & Compliance

• Maintain hardened, auditable baselines for endpoints and VDI images.

• Ensure platforms align with internal security policies and relevant frameworks.

• Provide technical input for audits, risk assessments, and incident response involving endpoints.

• Maintain highquality documentation (runbooks, standards, diagrams, FAQs, selfservice guides).

Stakeholder & Vendor Management

• Act as the primary owner for all things client platform for security, infra, support, and business stakeholders.

• Translate business needs into platform capabilities and phased roadmaps.

• Communicate changes and impact clearly to both technical and nontechnical audiences.

• Manage vendors and tooling, including evaluations, renewals, and escalations.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.

• 8+ years in endpoint / client engineering, enduser computing, or related infrastructure roles.

• 4+ years leading engineers or acting as a technical lead with ownership of a platform or service.

• Handson experience managing macOS, Windows, Linux, and VDI in an enterprise environment.

• Deep expertise with multiple modern endpoint management platforms (e.g., Intune/Endpoint Manager, Jamf, SCCM/ConfigMgr, Workspace ONE, etc.).

• Strong background in:

• OS imaging / provisioning and device enrollment

• Patch management and update strategies

• Scripting & automation (PowerShell, Bash, Python, or similar)

• Endpoint security (EDR, DLP, disk encryption, compliance policies)

• Identity & access integration on endpoints (Azure AD/Entra ID, SSO, conditional access)

• Proven ability to design and operate at scale (thousands of devices, multiple OSes, multiple regions).

• Excellent communication skills and comfort working with security, infra, and business partners.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience running global or multiregion client platforms.

• Track record implementing zerotrust / device posture / directtoapp access patterns.

• Experience with VDI/DaaS platforms (Citrix, VMware Horizon, AVD, etc.).

• Familiarity with configuration-as-code / infrastructure-as-code workflows (Git, CI/CD for config).

• Experience managing budgets, licensing, and vendor relationships for endpoint tools.

What Success Looks Like

• New hires get a fully configured device and access to their apps with minimal manual effort.

• High patch and compliance rates across macOS, Windows, Linux, and VDI with minimal disruption.

• Fewer endpoint incidents and escalations, more selfservice and automation.

• Strong partnership with Security and Infra on zerotrust and modern management.

• A high-performing, engaged team that ships improvements regularly and reliably.

• Ongoing delight / experience metric: a lightweight recurring signal that employees can get work done without friction (devices stay fast/stable, apps open reliably, access is seamless, and help is easy when needed). Basically an “It Just Works” pulse.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Aboutthe Mission

GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility.

For the AI Kernels & Compilers team, that mission shows up in the details: turning cutting‑edge perception, prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road.

If you want your compiler and kernels work to directly influence how automated vehicles understand and react to the world — while operating at the safety, reliability and scale of a company like GM — this is where that impact becomes real.

About the Team

The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns high‑level models into fast, reliable inference across GPUs powering GM’s next‑generation autonomous and assisted driving features.

Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of on‑vehicle workloads while preserving correctness and robustness in real‑world conditions. We partner closely with AI Deployments, AI Solutions, Runtime, and AI Kernels teams to co‑design a platform that enables new ideas in research to be quickly and safely shipped to production fleets.

You’ll join a group of deep compiler, systems, and GPU engineers who enjoy working on hard problems, and diving into MLIR/ONNX and CUDA/TensorRT internals. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving.

The Role

As a Senior Compiler Engineer on the AI Kernels & Compilers team, you will work on the compilation stack that takes high‑level models and turns them into highly optimized inference artifacts running on GM’s autonomous and assisted driving platforms. You’ll be a key contributor to a pipeline and tooling that makes that path fast, reliable, and effortless for ML engineers across the AV organization to compile their models.

You will work on an evolving a state-of-the-art model export and compilation pipeline—from capturing high‑level model graphs, through intermediate representations and compiler transforms, into accelerator‑specific inference engines and their integration with our runtime— so that we can simultaneously optimize compilation throughput, model fidelity, and on‑vehicle latency. Along the way, you’ll build robust tooling to validate numerical correctness, detect and bisect performance regressions, and surface clear, actionable diagnostics back to model authors.

If you want to work at the intersection of compilers, performance engineering, and real‑world autonomy, this role puts your decisions directly on the critical path of what runs on the car.

What you’ll be doing (Responsibilities)

• Build and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV.

• Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints.

• Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform.

• Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics.

Your Skills & Abilities (Required Qualifications)​​

• 3+ years of experience in the field of compilers

• Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)

• Expertise in writing production quality Python/C++ code

• Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration

• BS, or higher degree, in CS/CE/EE, or equivalent

What Will Give You A Competitive Edge (Preferred Qualifications)​

• Experience building and optimizing ONNX‑based model export and deployment pipelines

• GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)

• Experience with ML accelerators and hardware architecture

• Experience developing and deploying machine learning models

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

• The salary range for this role: is $128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM-AV-1

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Aboutthe Mission

GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility.

For the AI Kernels & Compilers team, that mission shows up in the details: turning cutting‑edge perception, prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road.

If you want your compiler and kernels work to directly influence how automated vehicles understand and react to the world — while operating at the safety, reliability and scale of a company like GM — this is where that impact becomes real.

About the Team

The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns high‑level models into fast, reliable inference across GPUs powering GM’s next‑generation autonomous and assisted driving features.

Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of on‑vehicle workloads while preserving correctness and robustness in real‑world conditions. We partner closely with AI Deployments, AI Solutions, Runtime, and AI Kernels teams to co‑design a platform that enables new ideas in research to be quickly and safely shipped to production fleets.

You’ll join a group of deep compiler, systems, and GPU engineers who enjoy working on hard problems, diving into MLIR/ONNX and CUDA/TensorRT internals, and mentoring others on performance engineering. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving.

The Role

As a Staff Compiler Engineer on the AI Kernels & Compilers team, you will own the end‑to‑end compilation stack that takes high‑level models and turns them into highly optimized inference artifacts running on GM’s autonomous and assisted driving platforms. You’ll define the technical vision and build the tooling that makes that path fast, reliable, and effortless for ML engineers across the AV organization to compile their models.

You will design and evolve our model export and compilation pipeline—from capturing high‑level model graphs, through intermediate representations and compiler transforms, into accelerator‑specific inference engines and their integration with our runtime—so that we can simultaneously optimize compilation throughput, model fidelity, and on‑vehicle latency. Along the way, you’ll build robust tooling to validate numerical correctness, detect and bisect performance regressions, and surface clear, actionable diagnostics back to model authors.

If you want to work at the intersection of compilers, performance engineering, and real‑world autonomy, this role puts your decisions directly on the critical path of what runs on the car.

What You’ll Do

• Own and evolve the model compilation toolchain used to deploy large‑scale perception, prediction, and planning models to the AV.

• Architect new compiler passes and analysis that improve build times, memory footprint, and runtime latency while preserving—or intentionally trading off—fidelity under strict safety and reliability constraints.

• Collaborate closely with kernels, runtime, and hardware teams to co‑design interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform.

• Set standards and best practices for model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics.

Your Skills & Abilities (Required Qualifications)​​

• 5+ years of experience in the field of compilers

• Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and software stack (e.g., ONNX, MLIR, XLA, TVM, TensorRT, etc)

• Expertise in writing production quality Python/C++ code

• Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration

• BS, or higher degree, in CS/CE/EE, or equivalent

What Will Give You A Competitive Edge (Preferred Qualifications)​

• Experience building and optimizing ONNX‑based model export and deployment pipelines

• GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)

• Experience with ML accelerators and hardware architecture

• Experience developing and deploying machine learning models

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

• The salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role:

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal candidate combines strong AI/ML foundations, hands-on experience with agent frameworks, and a pragmatic approach to delivering business value in partnership with cross-functional teams.

Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus.

What You'll Do:

• Design and develop AI agents

• Engineer and implement AI agents and workflows that automate and augment knowledge work.

• Translate business requirements into robust agent designs, including tool orchestration, routing logic, and guardrails.
• Prototype quickly, then harden solutions for reliability, scalability, and maintainability.

• AI/ML and platform integration

• Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities.

• Integrate agents with enterprise systems, APIs, and data sources (e.g., collaboration tools, knowledge repositories, ticketing systems).
• Partner with platform teams (e.g., Glean, M365, internal APIs) to ensure secure and compliant integrations.

• Agent lifecycle management

• Define and implement monitoring, logging, and feedback loops to continuously improve agent performance.

• Establish and maintain evaluation frameworks, metrics, and test harnesses for AI agent behavior and output quality.
• Document agent architectures, decision logic, and dependencies for support and future enhancements.

• Collaboration and ways of working

• Collaborate closely with engineers, architects, data teams, and business SMEs in a highly matrixed, global environment.

• Contribute to shared patterns, reusable components, and best practices for AI agent development.
• Champion responsible AI, including security, privacy, compliance, and user trust considerations.

Your Skills & Abilities (Required Qualifications):

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; or equivalent practical experience.
• 3–7+ years of professional software engineering or AI/ML engineering experience in complex, enterprise environments.
• Strong proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java).
• Hands-on experience with LLM-based applications, AI frameworks, or agent tooling (e.g., LangChain, Semantic Kernel, custom orchestration frameworks).
• Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts.
• Experience building production services (microservices or serverless) with appropriate observability and testing.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Experience with Glean or similar enterprise AI search/assistant platforms (e.g., integrating sources, configuring tools, designing agents or workflows within the platform).
• Experience with Microsoft 365 and AI assistants (e.g., Copilot) or other enterprise collaboration ecosystems.
• Familiarity with Enterprise identity and access management concepts (e.g., RBAC, least privilege), Observability and telemetry for AI systems (e.g., logging, tracing, quality dashboards), and experimentation and A/B testing for AI features.
• Background in user-centric design or close collaboration with UX teams for AI experiences.

LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role
As a Senior Software Engineer on GM’s Notification Platform team, you will play a key role in designing, building, and evolving the systems that power GM’s multi-channel communications. The Notification Platform enables transactional and marketing messages across email, SMS, in-vehicle, app push, and app inbox, managing the lifecycle from customer preferences and template management to content generation, delivery, and tracking.

In this role, you will lead the development of core platform services, tackle complex system challenges, and contribute to major architectural decisions. You’ll collaborate closely with product managers and engineering partners across GM, driving features end‑to‑end while ensuring performance, reliability, and operational excellence. As a senior engineer, you will also mentor teammates, influence best practices, and help shape the technical direction of a platform used across multiple products and organizations.

What You'll Do

• Lead medium-to-large technical initiatives, coordinating across teams to align requirements, dependencies, and milestones.
• Participate in the full software development lifecycle, including design, development, code review, testing, and deployment of services.
• Contribute to software project delivery efforts by writing clean, maintainable code following company development standards and best practices.
• Collaborate with partner teams and product stakeholders to define technical approaches and deliver capabilities end‑to‑end.
• Improve system resiliency, observability, and operational efficiency through automation, monitoring, and SLO‑focused engineering.
• Contribute to architectural discussions and drive adoption of best practices for distributed systems and cloud-native design.
• Mentor junior engineers through design reviews, code reviews, and technical guidance.
• Advocate for engineering quality, including robust testing, CI/CD usage, and strong documentation.

Your Skills & Abilities (Required Qualifications)

• Bachelor's Degree in Computer Science or related field, or equivalent work experience.
• 6+ years of industry experience in designing and operating distributed systems or high availability high throughput production systems.
• Experience contributing to the successful delivery and deployment of software projects.
• Proficiency in one or more programming languages (Java, C++, Python, or similar).
• Experience with microservices, asynchronous messaging, event-driven architectures, or service-oriented systems.
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
• Strong understanding of databases (SQL and NoSQL), data modeling, and caching strategies.
• Familiarity with observability concepts (logs, metrics, traces) and operating services in production.
• Proven ability to collaborate across engineering teams and work on projects spanning multiple products or systems.
• Strong communication skills, with the ability to break down complex problems and articulate clear solutions.
• A strong sense of ownership and accountability for mission-critical systems.
• Technical depth combined with practical decision-making and an iterative mindset.
• Strong communication skills and a collaborative mindset.
• A passion for mentoring, elevating engineering teams, and building high-performing cultures.
• Curiosity and initiative to explore new technologies, improve platforms, and simplify complex systems.
• Ability to balance short-term delivery with long-term platform health and scalability.
• A mindset focused on customer impact, operational quality, and continuous improvement.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Master's Degree in Computer Science or related field, or equivalent work experience.
• Experience with mission-critical services requiring strict SLAs, SLOs, and 24/7 reliability.
• Experience with messaging platforms, notification systems, or event streaming technologies.
• Hands-on experience with container orchestration (Kubernetes, Helm, service mesh).
• Hands-on experience with Azure cloud services or equivalent cloud-native technologies.
• Experience improving CI/CD pipelines to enhance developer efficiency and deployment reliability.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of California.

• The expected base compensation for this role is: $174,900 - $222,000. The actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Hybrid: This means the successful candidate is expected to report to their primary location (Milford, MI) three times per week, at minimum.

Relocation:

This job may be eligible for relocation benefits

The Role:

We are seeking an exceptional individual to join our Chassis Controls team as a Chassis Program Staff Engineer. Our team is dedicated to delivering world-class vehicle dynamics performance through innovative chassis controls features on the exciting vehicles that will define the next generation of GM’s future.

The Chassis Program Staff Engineer will be responsible for integration and execution of chassis development activities across assigned projects. This role ensures performance expectations are met, requirements are clearly defined, and software/calibration deliverables are delivered on time and on spec.

The ideal candidate will have a proven track record of successful product launches in chassis controls, calibration expertise in complex technologies, and deep knowledge of brake controls, vehicle dynamics, and ride and handling. Strong leadership, planning, communication, and prioritization skills are essential.

What You’ll do:

• Champion the safety of GM’s employees and customers.
• Develop calibration/software strategy and execution plans for each program.
• Provide technical direction and mentorship to a team of chassis engineers.
• Lead defect-free calibration releases aligned with program Controls Development / VeSCoM timing plans.
• Represent the Chassis team before program and technical leadership.
• Collaborate closely with program leadership to ensure alignment.
• Identify and secure resource needs (people, facilities, vehicles, equipment).
• Create and manage feature assignments and calibration responsibility maps in CRETA.
• Host calibration reviews to ensure high-quality deliveries.
• Manage vehicle development property usage and plan off-site test trips.
• Support engineers with issue resolution and spearhead system/vehicle-level performance improvements.
• Generate requests for software changes, new features/functions, and safety improvements.
• Utilize Problem Resolution Tracking System (PRTS) effectively.
• Ensure compliance with all safety and regulatory requirements.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Engineering or equivalent degree
• 7+ years of experience in chassis controls, vehicle dynamics, performance driving, vehicle integration, ride and handling.
• 7+ years of project management or leadership experience in chassis controls.
• Demonstrated ability to integrate complex controls features.
• Experience in data acquisition, analysis, calibration, software, and validation processes.
• Ability to analyze technical data (objective and subjective) to meet performance targets.
• Solid understanding of software development and release processes (V-Model).
• Proven initiative in driving innovation and new development.
• Strong communication and collaboration skills across disciplines.
• Valid driver’s license and ability to obtain GM Level 3 driving certification.
• Willingness to travel for winter testing (Jan/Feb) and development trips throughout the year.

What Will Give You A Competitive Edge (Preferred Skills)

• Masters degree in Engineering
• Expertise in vehicle dynamics and subjective vehicle evaluation.
• Experience with controls/algorithm development.
• Current GM Level 3 driver certification or higher.
• Enthusiasm for performance driving or off-road driving.
• Familiarity with GM calibration and development processes.
• Demonstrated success in leading engineering teams.
• Experience interacting with senior leaders and working with global teams.

Sponsorship:

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.