Drimva

General Motors

Principal AI/ML Engineer

$296K–$424K

Sunnyvale, California, United States of America +1 · Remote/Hybrid · Principal · Full-time · Posted Jun 29, 2026

Location
Sunnyvale, California, United States of America
Remote - United States
Education
MS or PhD in Computer Science, Robotics, Machine Learning, or related field.

About the job

Leads the team developing machine-learning trajectory-generation systems for autonomous vehicles, from technical architecture and training through onboard production deployment.

What you'll do

  • Set technical vision and lead development of trajectory-generation models, architectures, and scalable training pipelines.
  • Guide integration into real-time onboard systems and take solutions from research prototypes to production deployment.
  • Mentor engineers and lead cross-team initiatives with data, perception, simulation, safety validation, and onboard systems teams.

What they ask for

  • MS or PhD in Computer Science, Robotics, Machine Learning, or a related field.
  • Experience leading technical teams delivering production ML systems.
  • Deep expertise in one or more of robotics planning and control, imitation learning or reinforcement learning, generative models, or large-scale machine learning systems.
  • Strong software engineering skills (Python, C++, or similar) and experience deploying ML models in real-world or safety-critical environments.

Nice to have

  • Experience with autonomous driving, robotics, or embodied AI systems; background in trajectory planning, motion planning, or behavior modeling.
  • Experience with large-scale training infrastructure, distributed ML pipelines, or simulation-based training or evaluation of driving policies.

Pay

$296,300.00 to $423,900.00 USD base salary

Tools

Python, C++

AI focus

Leads ML-based trajectory generation for autonomous driving, including model development, training pipelines, simulation, and production deployment to onboard vehicle systems.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)