Manager, Autonomy Systems Validation

Job Description Hybrid: This role is categorized ashybrid. Role: As a Manager, Autonomy Systems Validation, you will lead a team of systems and software engineers responsible forvalidatingkey features and subsystems of our next generation automated driving stack. You and your team will focus on how and where the system is allowed tooperate, how it behaves in different conditions, and how we ensuretheoverall “product envelope” is safe and well-defined. You will combine deep systems thinking with strongpeopleleadership to define requirements, design validation frameworks, and deliver clear, data-backed evidence that supports launch and continuous software release decisions for autonomyfeatures. You will work closely with cross-functional partners to define program goals and create actionable roadmaps that drive systems design execution. About the Organization: TheAutonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles throughcutting-edgesimulation technologiesand novel iterative development processes. TheSoftwareValidation teamfocuses on unlocking software launchesand continuous release decisions vianovel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomousvehicles systems engineering. What You’ll Do Lead a team of systems and software engineers focused on defining autonomy boundaries, defining behavior in normal and edge-case scenarios, and translating that scope and behavior into clear requirements and validation plans. Own feature and subsystem level requirements and validation strategies for areas such as system state and mode management, ODD entry/exit behavior, and collision response. Build and maintain validation frameworks across simulation, hardware-in-the-loop / bench, closed course, and on-road testing. Define and review metrics and acceptance criteria that describe success for these systems and ensure they are connected to requirements and safety goals. Partner with cross-functional teams including safety, embodied AI, simulation, platform, and product management to integrate validation outputs into development workflows, program decisions, and the safety case. Work with data and tools (e.g. Python/SQL, dashboards, scorecards, requirements and test management systems) to turn test results into clear insights and recommendations. Hire, develop, and mentor engineers; set clear expectations, provide regular feedback, and foster an inclusive, high performance team culture. Represent your workstreams in program reviews, leadership forums, communicating status, risks, trade-offs, and validation readiness concisely. Champion improvements to processes and tools that make it easier for the organization to author, trace, and execute system-level validation plans at scale. Your Skills & Abilities Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields 10+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, validation, or other related fields 2+ years of experience leading engineers in a people management or dotted-line technical leadership role Strong foundations in systems engineering including decomposition of complex systems, defining clear interfaces, and traceability best practices. Demonstrated ability to design and review multi-environment test strategies spanning simulation, bench/HIL, closed course, and on-road testing, or similar. Comfortable working with data and metrics with proficiency in Python/SQL, dashboard building, and test scripting. Excellent communication skills, able to explain complex technical topics in clear, simple language. Ability to tailor messages to engineers, cross-functional partners, and senior leaders. Proven ability to operate in ambiguity, create structure, and move from quick prototypes to robust, scalable solutions on tight timelines. What Will Give You a Competitive Edge Experience with autonomous vehicles, vehicle development, or ADAS development. Experience defining or validating operational design domains and/or system behavior in critical scenarios such as minimum risk maneuvers, hazard avoidance, or fault handling. Hands-on experience with validating systems using robotics simulation and correlating to physical testing. Experience with requirements and test management tools and integrating them into engineering and validation workflows. Familiarity with hazard and safety analysis methods (e.g. FMEA, STPA, fault trees) and how they connect to validation plans and evidence. Track record of building and scaling teams, including hiring, coaching, and developing systems and validation engineers. Proficient with SQL, Python, and C++ for analyzing large data sets. Comfortable using AI tools and agents to automate workflows and accelerate software development. Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role: $189,300 to $290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Non-Discrimination and Equal Employment Opportunities (U.S.) 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. Accommodations 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, email us or call us at View phone number on click.appcast.io. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. #J-18808-Ljbffr Dormont Manufacturing Co