Staff Systems Engineer, Perception System Verification and Validation

In this role, you will:

• Measure the safety performance of the driving software perception algorithms, and their impact on the resulting behavior across nominal conditions, adverse weather conditions, and corner case scenarios.
• Leverage fleet data, structured test track evaluations, log replay simulations, and novel synthetic simulations to produce an argument for the Zoox Safety Case.
• Develop new methodologies to improve test coverage, robustness, and scale
• Manage a small team of systems verification engineers
• Collaborate cross-functionally with hardware, perception, simulation, compute infrastructure, and operations teams to execute test campaigns, develop new processes, and troubleshoot mission critical findings
• Perform test data analysis and report test results. Maintain traceability between requirements, test cases, and results. Define and develop automated data extraction tools to streamline analysis and reporting.

Qualifications

• B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Systems Engineering, Computer Science, or a relevant field
• Experience managing small teams of direct reports
• 7+ years of industry experience working on complex systems (hardware and software) that feature perceptive components (cameras, radar, LIDAR, etc.)
• Demonstrated experience with integration and verification testing of ML components (classifiers, detectors, regression models, encoder/decoders, etc.)
• Proficiency in basic statistics and probability
• Experience with test scripting and data analysis languages (Python and SQL preferred)
• Ability to manage ambiguity and drive progress independently
• Strong communication skills and ability to work well with cross-functional teams

Bonus Qualifications

• Experience with Linux Systems
• Experience in the Autonomous Vehicle Domain
• Experience with applying machine learning techniques or other novel approaches to test campaigns to augment the scale and coverage of more traditional test methodologies.
• Experience working on the assurance of safety-critical systems