Engineering Manager, Autonomy Systems Verification and Validation

Responsibilities

• Directly manage and grow a team of 5+ verification and validation (V&V) systems engineers, providing mentorship and career guidance.
• Develop, own, and execute the end-to-end V&V strategy for the autonomous vehicle’s (AV's) behavioral competencies, from simulation to on-road validation -- with a focus on corner cases for both perception and behavior/decision-making.
• Drive the definition and implementation of performance metrics, data extractors, and statistical evaluation methods to form objective conclusions about AV performance.
• Establish effective collaborations with multiple cross-functional teams like perception, planning, controls, and safety to streamline the development and creation of tests across our validation pipelines.
• Lead the planning, execution, and timeline delivery of vehicle tests, including cross-functional coordination with vehicle engineering, operations, and software teams.
• Deliver robust validation evidence to support increasingly complex operations and provide clear, data-driven feedback to development teams.
• Maintain traceability between requirements, behavioral test cases, and results to support our safety case.
• Propose and implement process and methodology improvements to accelerate test iteration.

Qualifications

• B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Computer Science, or Systems Engineering
• 7+ years of industry experience with vehicle or complex system validation; ADAS or AV focus preferred
• 2+ years of experience with leading direct reports
• Experience developing integration and test plans and procedures for the rigorous V&V of safety critical robotic systems, autonomous vehicles, or other complex robotics/software systems
• Demonstrated ability to operate in an agile environment and to distill clarity for a team from ambiguous problem statements
• Analytical skills and hands-on experience
• Proficiency with probability and statistics
• Cross-disciplinary background and curiosity
• Confident with automotive electronics

Bonus Qualifications

• M.Sc. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Computer Science, or Systems Engineering
• Proven experience leading the V&V of key behavioral competencies for autonomous systems
• Strong understanding of data-driven, statistical approaches to complex system performance evaluation
• Familiarity with programming languages such as Python
• Familiarity with SQL and navigating modern data models
• Experience with Linux Systems