General Motors
Principal AI/ML Engineer, AV ML Infra
$276K–$340K
Sunnyvale, California, United States of America +1 · Remote/Hybrid · Principal · Full-time · Posted Oct 5, 2026
- Location
- Sunnyvale, California, United States of America
Mountain View, California, United States of America - Experience
- 10+ years overall; 5+ years leading and driving large-scale initiatives.
- Education
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
About the job
Leads GM’s AV ML infrastructure organization, setting its strategy and building scalable systems for machine-learning experimentation, compute, inference, and pipelines.
What you'll do
- Design, implement, and test scalable distributed computing and data-processing solutions in the cloud.
- Own technical projects from inception to completion, contribute to the product roadmap, and make major technical trade-offs.
- Lead, recruit, onboard, and mentor engineers while collaborating across teams.
What they ask for
- 10+ years of experience.
- 5+ years of experience leading and driving large-scale initiatives.
- Proficiency building scalable cloud infrastructure using Python, C++, Golang, or similar languages; experience with relational and NoSQL databases.
- Bachelor’s, Master’s, or Ph.D. in a related field, or equivalent practical experience.
Nice to have
- Strong background in large-scale distributed systems.
- Experience with cloud platforms, orchestration platforms, model-serving frameworks, or Kubernetes.
Pay
$275,800 to $340,500 USD base salary
Tools
GCP, Azure, Python, C++, Golang, Google Cloud Platform, Microsoft Azure, Amazon Web Services
AI focus
Builds ML infrastructure products for teams to perform machine learning and data science at scale; the role does not apply ML models to specific tasks.
Model-written summary · the original posting is authoritative