Manager, Autonomy Systems Validation

Job Description

Hybrid: This role is categorized as hybrid. 

Role: As a Manager, Autonomy Systems Validation, you will lead a team of systems and software engineers responsible for validating key features and subsystems of our next generation automated driving stack. You and your team will focus on how and where the system is allowed to operate, how it behaves in different conditions, and how we ensure the overall “product envelope” is safe and well-defined. 

You will combine deep systems thinking with strong people leadership to define requirements, design validation frameworks, and deliver clear, data-backed evidence that supports launch and continuous software release decisions for autonomy features. 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: 

• 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.