
location_on602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. Within this organization, the Software Validation team focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.
As a Staff ML Validation Applied Scientist, you will lead applied machine learning research focused on improving the verification and validation of ML components and autonomous driving behavior at scale. You will push the frontier of simulation-led ML validation, creating metrics, tools, and agentic workflows that make it dramatically faster, more automated, and more robust to evaluate autonomy systems across large fleets, diverse scenarios, and continuous release cycles.
Your mission is to transform advanced ML research into working prototypes and production-grade validation services. This includes developing AI validation critics that automatically review model behavior, logs, and simulation traces to surface issues, regressions, and coverage gaps. You will drive the evolution of how we evaluate deep learning modules in realistic sensor and traffic simulations, ensuring behavioral and scenario coverage is tightly linked to ML models.
Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion, and we embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. We believe we all must make a choice every day—individually and collectively—to drive meaningful change through our words, our deeds, and our culture. Every day, we want every employee to feel they belong to one General Motors team.
From day one, we look out for your well-being at work and at home so you can focus on realizing your ambitions. We offer a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plans, paid vacation, and employee assistance programs.
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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us with 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.
Work model: On-site
602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
Sunnyvale, California
Background in autonomous vehicles, vehicle development, or ADAS. Demonstrated impact from introducing automation and AI-assisted tooling (e.g., AI agents, AI validation critics, smart monitoring) that improved scale, reliability, or engineering velocity in ML validation workflows. Experience building verification and validation tools or infrastructure for safety-critical ML or control systems. Experience working with simulation environments and large scenario or telemetry datasets for ML evaluation and behavior validation.