Senior Software Systems Engineer, Autonomous Systems Validation Confidence
General Motors24 hours ago
Base Salary
$153k - $234k/yr
Responsibilities
- Develop scalable frameworks and methods for measuring validation confidence across simulation and real-world testing.
- Build tools and data pipelines for test execution, analysis, metric computation, scorecards, and confidence reporting.
- Evaluate simulation validity and road predictive power using measurable criteria, and analyze test and vehicle data for uncertainty, pipeline issues, regressions, and evidence gaps.
- 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 technical conclusions, assumptions, limitations, and recommendations.
Requirements
- 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 convert ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria and investigate complex behavior using incomplete or noisy data.
- Ability to collaborate across disciplines and explain technical results precisely and with appropriate context.
- Bachelor's degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field, or equivalent practical experience.
- Preferred experience includes autonomous vehicles, robotics, simulation, aerospace, industrial automation, safety-relevant engineered systems, verification and validation, test automation, scenario generation, requirements-based testing, and performance benchmarking.
- Preferred experience includes coverage measures, scorecards, confidence metrics, regression detection, simulation-to-real-world correlation, predictive-validity analysis, data pipelines, SQL, scientific computing, and large-scale test execution.
- Applied knowledge of probability, statistics, experimental design, or data analysis, including hypothesis testing, confidence intervals, power analysis, sampling strategies, or precision and recall.
- A graduate degree or equivalent depth in engineering, physics, applied mathematics, statistics, data science, or a related field is preferred.
Benefits
- Health, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, employee assistance program, and GM vehicle discounts.
- The role may be eligible for relocation benefits.
- The posting provides a base salary range of $153,200 to $234,100 and notes potential incentive pay based on company, job-level, and individual performance.
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.