Senior Software Systems Engineer - Autonomous Vehicles

General Motors is seeking a Senior Software Systems Engineer to improve the evaluation and validation of autonomous vehicle software. The role focuses on designing scalable testing and simulation frameworks, analyzing simulation and on-road data, developing performance metrics, and communicating insights that build confidence in end-to-end machine learning systems.

Responsibilities:

• Define AV evaluation and validation processes from initial concept through implementation, including test-framework requirements, scenario and test-suite design, coverage, metrics, and the evidence needed to assess confidence in system performance
• Design and implement scalable testing and simulation frameworks for test generation, execution, data collection, result aggregation, and reproducible analysis
• Provide hands-on implementation of infrastructure and data solutions to assess confidence in AV performance using simulation and on-road data
• Develop and apply methods to evaluate simulation validity, sim-to-real correlation, and the predictive value of simulation results
• Proactively scope and identify metrics, sampling approaches, and analytical methods needed to improve evaluation workflows and close gaps in evidence
• Contribute to automated triage and root-cause analysis strategies for AV deficiencies, regressions, and uncertainty in an end-to-end stack
• Articulate insights, summaries, limitations, and recommendations to engineers, technical leaders, and other stakeholders based on continuous analysis of AV performance
• Define and maintain scalable processes to identify, monitor, and improve evaluation KPIs and confidence measures
• Help connect continuous-improvement activities to the evidence needed to support safety, systems, and downstream readiness decisions

Requirements:

• Strong Python programming skills, with experience building clear, maintainable analysis, evaluation, or testing tools
• Experience designing or implementing testing, simulation, or evaluation frameworks for complex software/hardware or cyber-physical systems
• Experience with GitHub, Jira, or equivalent tools
• Demonstrated end-to-end ownership, from defining a problem through delivering and communicating the desired outcome
• A track record of analytical and systems-engineering work involving complex software/hardware systems or ambiguous AI functions
• Experience performing root-cause analysis and applying analytical methods to system or behavioral performance data
• Ability to creatively solve problems with limited supervision, learn quickly, and operate effectively in a fast-paced environment
• Strong cross-functional communication skills, including the ability to communicate data-driven findings to leadership
• Bachelor's, master's, or doctoral degree in engineering, physics, applied mathematics, statistics, data science, or a related discipline, or an equivalent combination of education and experience
• Experience with autonomous vehicles, ADAS, robotics, or production-grade robotic systems
• Hands-on experience with simulation environments, scenario generation, large-scale test execution, or analysis of simulation results
• Experience with statistical methods for product evaluation, risk assessment, sampling, or confidence analysis
• Experience developing data-driven metrics, scorecards, coverage measures, or regression-detection methods
• Experience with verification and validation, simulation-to-real-world correlation, test automation, or large-scale evaluation systems
• Passion for understanding complex robotics and AI systems and turning their behavior into measurable evidence