Validation & Simulation Engineer for Autonomous Systems

General Motors; United States; Remote; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health benefits

GM vehicle discounts

Job summary

General Motors is seeking a Senior Software Systems Engineer to develop methods and software that quantify confidence in autonomous-vehicle validation results. You will bridge software, systems, simulation, statistics, and data science to ensure test coverage and meaningful metrics.

You will build data pipelines, evaluate simulation validity, and translate validation questions into measurable criteria, collaborating with simulation, safety, and release teams to inform decisions.

Qualifications

• Strong programming skills in Python, C++, or a comparable language with clear, testable code.
• Experience applying engineering or quantitative methods to a physical, cyber-physical, or real-world system.
• Ability to turn ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria.
• Ability to collaborate across disciplines and explain technical results with precision and context.
• Bachelor’s degree in engineering, physics, applied mathematics, statistics, data science, or related field, or equivalent practical experience.

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

Ambiguous validation questions to meas

Cross-disciplinary collaboration

Education

Bachelor's degree in engineering, physics, applied mathematics, statistics, data science or related field

Graduate degree or equivalent depth

Job description

General Motors is seeking a Senior Software Systems Engineer to develop methods and software that quantify confidence in autonomous-vehicle validation results. You will bridge software, systems, simulation, statistics, and data science to ensure test coverage and meaningful metrics.

You will build data pipelines, evaluate simulation validity, and translate validation questions into measurable criteria, collaborating with simulation, safety, and release teams to inform decisions.