General Motors
Senior Software Systems Engineer, Autonomous Systems Validation Confidence
$153K–$234K
Sunnyvale, California, United States of America · Remote · Senior · Full-time · Posted Sep 9, 2026
- Education
- Bachelor’s degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field, or equivalent practical experience.
About the job
Develop software, methods, and quantitative evidence to assess confidence in autonomous-vehicle validation results and support risk, readiness, and release decisions.
What you'll do
- Develop scalable methods and frameworks for measuring validation confidence across simulation and real-world testing.
- Build tools and data pipelines for test execution, analysis, metrics, scorecards, and confidence reporting.
- Evaluate simulation validity and analyze test and vehicle data to identify uncertainty, regressions, and evidence gaps.
What they ask for
- Strong programming skills in Python, C++, or a comparable language, with experience writing clear, testable, maintainable code.
- Experience applying engineering or quantitative methods to a physical, cyber-physical, or other real-world system.
- Ability to translate ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria and investigate complex behavior using incomplete or noisy data.
- Bachelor’s degree in a related technical field or equivalent practical experience.
Nice to have
- Experience in autonomous vehicles, robotics, simulation, aerospace, industrial automation, or another safety-relevant engineered system.
- Experience with verification and validation, statistical methods, simulation-to-real-world analysis, or large-scale test data and pipelines.
Pay
$153,200 to $234,100 USD base salary
Tools
Python, C++, SQL
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