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Engineering Manager, Autonomy Systems Verification and Validation

Zoox
Foster City, USA
Full-time
Senior · 7+ years experience
Hybrid
USD 199000-250000 yearly / year
Discovered 1 weeks ago
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  • 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
  • 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
  • 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

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