Drimva

General Motors

Manager, AV Planner Evaluation

$219K–$335K

Sunnyvale, California, United States of America · Remote/Hybrid · Manager · Full-time · Posted Oct 21, 2026

Experience
5+ years in engineering analysis, ML evaluation, or autonomy analytics; 3+ years evaluating dynamic systems; 3+ years building and managing engineering teams.
Education
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Engineering, Machine Learning, Data Science, or related.

About the job

Leads a team developing and delivering simulation and on-road evaluation systems, metrics, and workflows for autonomy planners supporting GM’s Super Cruise portfolio.

What you'll do

  • Set the technical vision and roadmap for planner evaluation; guide system design, implementation, and validation.
  • Lead evaluation strategies, root-cause investigations, and delivery of reliable software through automated testing and continuous integration.
  • Mentor engineers and coordinate with Safety, Systems Engineering, Product, and other teams on requirements and technical decisions.

What they ask for

  • Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Engineering, Machine Learning, Data Science, or a related field.
  • 5+ years of experience in engineering analysis, ML evaluation, or autonomy analytics.
  • 3+ years evaluating dynamic systems with numerical and/or ML approaches, including time-series data and state derivatives; 3+ years building and managing high-performing engineering teams.
  • Strong production Python proficiency, comfort with C++ codebases, and demonstrated technical leadership.

Nice to have

  • Experience with vehicle dynamics, Planning and Controls, or evaluation of robotics/AV systems using sensor data.
  • Familiarity with SQL, ROS or similar frameworks, statistical and experimental methods, or AI-assisted development and analytics tools.

Pay

$218,800 - $335,300 USD base salary

Tools

Python, C++, SQL, ROS, PyTorch

AI focus

Evaluates autonomy planning systems using numerical and ML approaches; AI-assisted development and analytics tools are a preferred qualification.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)