General Motors
Senior AI/ML Performance Engineer
$145K–$261K
Sunnyvale, California, United States of America +1 · Remote/Hybrid · Senior · Full-time · Posted Oct 6, 2026
- Location
- Sunnyvale, California, United States of America
Remote - Washington - Experience
- 5+ years of professional experience in high-scale infrastructure or ML systems; 8+ years of relevant industry experience preferred.
- Education
- Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.
About the job
Optimizes and scales GPU and ML infrastructure for autonomous-vehicle research and development, including workload analysis, infrastructure strategy, and capacity planning.
What you'll do
- Run AV models to inform GPU strategy and infrastructure roadmaps.
- Analyze production workloads to identify bottlenecks and implement performance optimizations.
- Collaborate with research, infrastructure, and cloud teams to improve engineering velocity, cost efficiency, scalability, and reliability.
What they ask for
- Expert-level Python skills and ability to architect or debug in PyTorch.
- Track record resolving performance issues in large-scale distributed production environments; deep knowledge of distributed systems, ML systems, and HPC.
- Hands-on Kubernetes experience and proficiency with Nvidia DCGM, nvidia-smi, and Grafana.
- Experience with a major cloud ecosystem: AWS, GCP, or Azure.
Nice to have
- Working knowledge of Nvidia H100, B200, or GB200 GPUs; experience deploying models via Hugging Face.
- Proficiency with BigQuery or experience using Nvidia Nsight and Nsight Compute.
Pay
$144,700 to $261,300 USD base salary
Tools
Python, PyTorch, Kubernetes, Nvidia DCGM, nvidia-smi, Grafana, AWS, GCP
AI focus
Supports autonomous-vehicle AI/ML infrastructure by running AV models and optimizing large-scale ML training and inference environments.
Model-written summary · the original posting is authoritative