Job description

Job Description Work Arrangement: This role is categorized as hybrid . This means the successful candidate is expected to report to Austin, TX, Mountain View, CA, Warren, MI or Seattle, WA three times per week, at minimum. About the Role Own the technology that powers next-generation infotainment. At General Motors, you ll build the delivery engine that moves software from engineers hands into vehicles driven by millions of people every day. We re tackling software-defined vehicles at a scale few companies can match and we need a Staff Software Engineer ready to accelerate that mission. You ll make software delivery faster, smarter, and more reliable, shaping how GM delivers the future of driving. This role combines deep technical execution with cross-functional leadership. You will drive the architecture, implementation, and operational excellence of the build, test, release, and developer productivity ecosystem that enables reliable software delivery at scale. In line with GM s staff-level engineering expectations, this role requires end-to-end ownership, strong architectural judgment, and the ability to influence technical direction across teams without direct authority. You will partner closely with engineering, release management, quality, infrastructure, and program stakeholders to modernize CI/CD, improve developer velocity, strengthen observability, and raise the quality and reliability bar for NextGen infotainment software delivery. What You ll Do Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting NextGen infotainment across multiple vehicle programs Design and optimize scalable CI/CD pipelines for embedded Linux (Yocto) builds, including orchestration, test automation, artifact management, release workflows, distributed builds (BuildBarn/RBE), and caching Automate release processes including branching, versioning, artifact promotion, quality gates, and compliance checks Build self-service platforms, GitHub automation, and dashboards that cut manual effort and accelerate developer feedback loops Drive end-to-end observability and operational excellence, and lead cross-functional initiatives from concept to production while mentoring engineers and raising the bar through design reviews, process improvement, and hiring Your Skills & Abilities (Required Qualifications) Bachelor s degree in Computer Science, Software Engineering, Electrical Engineering, or related field, or equivalent practical experience 10 years in software engineering, DevOps, build engineering, platform engineering, or release engineering at staff-level scope, including leading large multi-team technical initiatives from design through production Strong experience designing and operating scalable CI/CD systems and developer platforms (Jenkins, GitHub Actions, GitLab CI, or similar) Experience with embedded Linux build systems, cross-compilation environments, or complex platform build pipelines, plus strong programming/scripting skills (Python, Bash, Groovy, or similar) and cloud/container experience (Docker, Kubernetes, and at least one major cloud) Hands-on observability practice (metrics, logging, tracing, dashboards, alerting) with the ability to mentor, influence architecture, and execute in a matrixed organization What Will Give You a Competitive Edge (Preferred Qualifications) Experience in automotive, embedded systems, infotainment, Android Automotive, Linux IVI, QNX, or related domains Experience with Yocto / OpenEmbedded and ARM-based embedded platforms Experience with distributed build systems, remote build execution, large-scale build caching, and building internal developer platforms or engineering productivity solutions Familiarity with artifact repositories, static analysis, code quality, and security scanning tools (e.g., Artifactory, SonarQube), plus observability/delivery tooling such as Datadog, Prometheus, or Grafana in large multi-repo / multi-team release programs Experience applying AI/ML to DevOps workflows (predictive build failures, intelligent test selection, anomaly detection) or familiarity with AI-assisted engineering tooling 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 the California Bay Area. The salary range for this role is between $189,300 and $290,700. 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. 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. This job may be eligible for relocation benefits. #LI-SA2 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 on a regular basis (25-50%) for this role. Relocation benefits are available for candidates who qualify under company policy. 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, email us 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.

Requirements

Must-haves

Work Arrangement: This role is categorized as hybrid . This means the successful candidate is expected to report to Austin, TX, Mountain View, CA, Warren, MI or Seattle, WA three times per week, at minimum.
What You ll Do
Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting NextGen infotainment across multiple vehicle programs
Design and optimize scalable CI/CD pipelines for embedded Linux (Yocto) builds, including orchestration, test automation, artifact management, release workflows, distributed builds (BuildBarn/RBE), and caching
Automate release processes including branching, versioning, artifact promotion, quality gates, and compliance checks
Build self-service platforms, GitHub automation, and dashboards that cut manual effort and accelerate developer feedback loops
Your Skills & Abilities (Required Qualifications)
Bachelor s degree in Computer Science, Software Engineering, Electrical Engineering, or related field, or equivalent practical experience
10 years in software engineering, DevOps, build engineering, platform engineering, or release engineering at staff-level scope, including leading large multi-team technical initiatives from design through production
Strong experience designing and operating scalable CI/CD systems and developer platforms (Jenkins, GitHub Actions, GitLab CI, or similar)
Hands-on observability practice (metrics, logging, tracing, dashboards, alerting) with the ability to mentor, influence architecture, and execute in a matrixed organization
Experience in automotive, embedded systems, infotainment, Android Automotive, Linux IVI, QNX, or related domains
Experience with Yocto / OpenEmbedded and ARM-based embedded platforms
Experience with distributed build systems, remote build execution, large-scale build caching, and building internal developer platforms or engineering productivity solutions
Experience applying AI/ML to DevOps workflows (predictive build failures, intelligent test selection, anomaly detection) or familiarity with AI-assisted engineering tooling
This job may be eligible for relocation benefits.
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.

Nice-to-haves

What Will Give You a Competitive Edge (Preferred Qualifications)
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Application prep

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Keywords to mirror

ci/cdpythondockerkubernetesaiml

Platform: workday
Effort: long

Benefits

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