
location_on602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
The Simulation team, part of the Autonomous Vehicle organization, is responsible for developing and advancing the simulation ecosystem that enables the growth and maturity of GM's autonomous driving technology. We develop scalable tools, workflows, and analysis capabilities that enable data-driven decisions across AV development, testing, and validation. Partnering with Autonomy, Systems, Safety, and other cross-functional teams, we provide the simulation foundation needed to assess system behavior, improve development velocity, and support end-to-end AV quality. We own large-scale scenario libraries, test and evaluation pipelines, and core infrastructure that support virtual testing, data analysis, model development, and validation within a unified framework.
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. We have the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale.
In this role, you will help shape GM's core simulation platforms, turning complex system behavior into actionable insights to accelerate the development of safe, scalable autonomous vehicles. You will design and maintain large-scale test infrastructure and evaluation pipelines that quantify the accuracy, reliability, and efficiency of simulation tests. Your work will involve developing core simulation dashboards to deliver clear insights on test operations and simulation health to engineering teams and leadership. You will drive scalable simulation quality assessments and collaborate with cross-functional partners to define validation methodologies. Additionally, you will uphold high standards for code quality and software architecture while leveraging AI-assisted development tools to drive innovation in simulation testing.
Applicants in the recruitment process may be required to successfully complete role-related assessments and/or a pre-employment screening prior to beginning employment. For more details on how we hire, please visit our official resources.
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 to drive meaningful change through our words, deeds, and culture. Every day, we want every employee to feel they belong to one General Motors team.
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.
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. 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 email us or call us at 1-800-865-7580.
Work model: Hybrid
602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
Sunnyvale, California
Experience testing and evaluating robotics systems or autonomous vehicles, including working on simulation frameworks. Experience working on test strategies and validation for safety-critical products. A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies. Familiarity with SQL, time-series data analysis, performance monitoring tools, and dashboarding systems (e.g., Looker, Streamlit).
Experience
5+ yrs (Senior)
Education
BS, MS, or PhD in Computer Science, Engineering, or equivalent experience
Job Type
Full-Time
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