Staff Software Engineer, Autonomy Evaluation (Remote)

Job Description Role: As a Staff Software Engineer for Autonomy Evaluation within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. On the Systems Engineering Team within the Simulation and Testing organization, your experience designing and implementing complex V&V strategies will enable you to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capability requirements and ensuring robust validation methods are designed for meeting the testing needs of AI developers, systems engineering, and safety. What You’ll Do Develop and prototype comparative strategies to benchmark autonomy systems performance. Create simulation evaluation methods to support decision‑making in continuous release cycles. Define requirements and metrics for validating safe and comfortable Autonomous Vehicle operations. Analyze driving behaviors to inform system performance and influence the development of the autonomy stack. Mentor team members and facilitate cross‑team collaboration to define simulation confidence metrics for new launches. Your Skills & Abilities Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields. 8+ years of experience in systems engineering, robotics, or data analysis. Proficient in SQL, Python, and C++ for analyzing large data sets. Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions. Excellent communication skills, capable of switching between high‑level and detailed discussions. What Will Give You a Competitive Edge Experience in validating AI models, robotics, or autonomous vehicle development. Background in data engineering and familiarity with ETL software (e.g., DBT, Airflow). Experience in developing data visualizations using tools like Looker or Jupyter notebooks. Proven success in systems engineering for safety‑critical products and familiarity with requirements management tools (e.g., Jama, DNG, DOORS). Compensation Salary range: $165,000 to $253,200. Bonus potential: incentive pay based on company performance, job level, and individual performance. Benefits: health, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, etc. Remote and Relocation This role is based remotely but if you live within a 50‑mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum. The position may be eligible for relocation benefits. Equal Employment Opportunity General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact the provided email address. #J-18808-Ljbffr General Motors