General Motors
Senior AI/ML Capacity Engineer
$145K–$261K
Sunnyvale, California, United States of America +1 · Remote/Hybrid · Senior · Full-time · Posted Aug 17, 2026
- Location
- Sunnyvale, California, United States of America
Remote - Washington - Experience
- 5+ years required; 8+ years preferred.
- Education
- Bachelor's Degree in Computer science or related field or relevant work experience.
About the job
Plans and optimizes capacity for GM’s autonomous-vehicle infrastructure supporting large-scale machine-learning workloads.
What you'll do
- Develop technical capacity-planning models for AV infrastructure.
- Build automated tools to monitor capacity and demand signals.
- Partner with engineering teams and cloud vendors to identify and deliver infrastructure and cost-efficiency improvements.
What they ask for
- 5+ years of relevant work experience.
- Bachelor's Degree in Computer science or related field or relevant work experience.
- Proficient in Python and BI platforms.
- Experience with data modeling and SQL on large datasets, and a good understanding of distributed systems including modern ML system architecture and design.
Nice to have
- 8+ years of relevant work experience; proficient with Pandas and NumPy, Looker, and BigQuery.
- Experience with cross-functional projects, Git and Linux tooling, GCP billing and usage analysis, or capacity-demand forecasting.
Pay
$144,700 to $261,300 USD base salary
Tools
Python, BI platforms, SQL, BigQuery, Pandas, NumPy, Looker, Git
AI focus
Capacity planning and optimization for AV infrastructure and large-scale ML systems.
Model-written summary · the original posting is authoritative