Staff Systems Engineer, Autonomy
General MotorsAbout the role
Job Description
Hybrid: This role is categorized as hybrid.
Role: As a Staff Systems Engineer on the Software Validation team within the AV organization, you will play a critical role in leading the strategy and execution of systems engineering and validation efforts for autonomous vehicle software. You will leverage your experience designing and implementing complex V&V strategies to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices, driving innovation in systems design, requirements development, and performance verification of autonomous systems. You will be responsible for shaping the future of systems engineering methodologies for AI systems and other ADAS features, architecting solutions that meet the development and testing needs of AI developers, systems engineers, and safety stakeholders. You will work closely with cross-functional partners to define program goals and create actionable roadmaps that drive systems design execution.
About the Organization: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel 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 autonomous vehicles systems engineering.
What You’ll Do:
Define requirements and metrics for validating safe and comfortable autonomous vehicle operations.
Decompose complex programs and features into actionable systems and defining acceptance criteria, influencing software development and launch decisions
Prototype and develop simulation-based and road-based testing strategies that support continuous and scaled software release cycles
Combine experience in systems engineering and data analysis to facilitate data driven design, validation, risk analysis, and prioritization decisions
Own roadmaps for developing long-term and stable requirements, verification/validation, and/or software solutions to advanced problems over multiple product lifecycles
Mentor team members and facilitate cross-team collaboration to define s
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