What you’ll do
- Develop scalable frameworks and methods for measuring validation confidence across simulation and real-world testing, including coverage, sampling, metric quality, statistical significance, and regression detection.
- Build tools and data pipelines for test execution, analysis, metric computation, scorecards, and confidence reporting.
- Evaluate simulation validity and road predictive power using measurable, defensible criteria; analyze test and vehicle data to identify uncertainty, pipeline issues, regressions, and gaps in evidence.
- Translate validation claims and release questions into requirements, experiments, test suites, metrics, and quantitative decision criteria.
- Improve the throughput, repeatability, and quality of validation workflows.
- Partner with simulation, safety, autonomy, and release teams, and communicate conclusions, assumptions, limitations, and recommendations clearly.
What success looks like
- Validation results have clear, quantitative confidence and known limitations.
- Coverage, metrics, and sampling are tied to the claims and decisions they support.
- Regressions and progressions are detected reliably, simulation performance is evaluated against real-world outcomes, and the evidence supports decisions about risk, readiness, and release.
Who will thrive in this role
You are interested in how to know whether a complex system is working, not only in how to implement one component. You enjoy moving between code, data, statistical models, experiments, and system-level questions, and you are comfortable learning the physical and operational context needed to interpret results correctly.
You may come from systems engineering, robotics, physics, mechanical or electrical engineering, applied mathematics, statistics, data science, or a related background. The common thread is the ability to program, reason quantitatively about physical systems, and apply both to the validation of a real system.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
- The salary range for this role: is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more






This job may be eligible for relocation benefits.

 About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.