General Motors
Staff AI/ML Engineer, Developer Productivity
$180K–$284K
Mountain View, California, United States of America +3 · Hybrid · Staff · Full-time · Posted Oct 2, 2026
- Location
- Mountain View, California, United States of America
Remote - Washington
Austin, Texas, United States of America
Warren, Michigan, United States of America - Experience
- 5+ years designing, building, and operating production systems at scale in the cloud.
- Education
- Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
About the job
Leads development of AI-native tools and services that improve AV engineering productivity, observability, and reliable deployment workflows.
What you'll do
- Identify engineering pain points and build reliable, scalable, maintainable solutions that improve development toolchains and productivity.
- Influence the technical roadmap, evaluate tools through PoCs, and promote engineering best practices while balancing delivery with technical debt.
- Mentor engineers and guide team culture, priorities, and technical execution.
What they ask for
- Experience designing, building, and operating production systems at scale in the cloud.
- Experience designing highly scalable, reliable, and maintainable services and writing production-scale software.
- Understanding of Unix/Linux, SSH, and networking fundamentals.
- Ability to lead and influence others, communicate and defend proposals, manage trade-offs, and deliver amid competing priorities.
Nice to have
- Demonstrated application of LLMs, skills, and MCPs to coding and review workflows.
- Experience with GCP, Docker, Kubernetes, or open-source projects.
Pay
$180,000 to $284,000 (base salary)
Tools
Go, Python, Unix/Linux, SSH, GCP, Docker, Kubernetes, LLMs
AI focus
Owns AI-native tools and services for agentic workflows; preferred experience includes applying LLMs, skills, and MCPs to coding and review workflows.
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