Principal Engineer, Autonomy Evaluation
General Motors3 days ago
Base Salary
$250k - $385k/yr
Responsibilities
- Set the multi-year technical direction and priorities for autonomous-driving evaluation methods.
- Create methods for evaluating overall driving behavior, subsystem performance, regressions, unknown failure modes, and simulation-to-road agreement.
- Trace driving failures to responsible subsystems or interactions and quantify their impact on driving outcomes.
- Analyze observations with metrics and scene classifiers to size, rank, and drive resolution of problems with partner engineering teams.
- Ensure statistical rigor through sampling, confidence intervals, experimental design, hypothesis testing, and metric validation.
- Turn evaluation results into recommendations for engineering teams, leadership, and software release reviews.
- Prototype and land code in production and mentor Staff and Senior engineers through research, design reviews, and written technical direction.
Requirements
- 10+ years of experience in autonomous systems, robotics, ML evaluation, or applied data science.
- Track record of creating evaluation or measurement methods adopted beyond the candidate’s own team and converting analysis into shipped improvements.
- Deep experience designing statistically sound evaluations of dynamic systems, including sampling, confidence intervals, experimental design, hypothesis testing, and precision and recall for time-series classifiers.
- Strong production Python and SQL skills, including testing and code review.
- Ability to define, size, and resolve ambiguous problems using trusted data and influence peers, partner teams, and leadership without direct authority.
- Experience mentoring senior engineers through design reviews and written technical direction and communicating uncertain results to executive, engineering, and cross-functional audiences.
- Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Statistics, Data Science, or a related field, or equivalent practical experience.
- Competitive qualifications include autonomous-driving or field-robotics experience; large-scale analysis of driving logs and AV sensor data from simulation and road testing; evaluation evidence for validation and release decisions; VLM or LLM applications to event classification, triage, or scenario discovery; model interpretability; data visualization; and familiarity with C++.
Benefits
- Health, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, employee assistance, and GM vehicle discounts.
- Eligible employees may participate in a company vehicle evaluation program and be assigned a General Motors vehicle after successful motor vehicle report review.
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.