Senior Autonomous Validation Engineer: Confidence Metrics

General Motors; Sunnyvale (CA); On-site; USD 153,000 - 234,000; Full time

Job summary

General Motors is seeking a Senior Software Systems Engineer to develop methods, software, and quantitative evidence used to measure confidence in autonomous vehicle validation results. You will work at the intersection of software, systems, simulation, statistics, and data science.

You will build scalable frameworks, data pipelines, and metrics to assess coverage, significance, and regression detection across simulation and real-world testing, guiding release decisions with clear assumptions

Qualifications

• Strong programming skills in Python or C++, with clear, testable code.
• Experience applying engineering methods to physical or cyber-physical systems.
• Ability to turn validation questions into measurable requirements and metrics.
• Collaborate across disciplines and explain results precisely.

Responsibilities

• 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.

Skills

Python

C++

Quantitative methods

Cross-disciplinary collaboration

Education

Bachelor's degree or equivalent

Tools

SQL

Job description

General Motors is seeking a Senior Software Systems Engineer to develop methods, software, and quantitative evidence used to measure confidence in autonomous vehicle validation results. You will work at the intersection of software, systems, simulation, statistics, and data science.

You will build scalable frameworks, data pipelines, and metrics to assess coverage, significance, and regression detection across simulation and real-world testing, guiding release decisions with clear assumptions