Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. As a Validation and Verification Systems engineer at Zoox, you will be owning a highly cross-functional role spanning across program management, legal, Software, and Operations organizations. You will be part of a systems engineering organization that develops and deploys novel solutions to substantiate a safety case for autonomous driving. Zoox is building a purpose-built robotaxi. Your real-world and virtual tests will capture the full end-to-end performance, from the advanced AI systems through the custom vehicle platform. You will be leading the creation of cutting-edge V&V methodologies, developing processes, writing comprehensive validation plans, reviewing verification and simulation results, and preparing reports needed to ensure the safety of the Autonomous software. You will be part of an organization with strong leadership and a transparent and respectful culture that will enable you to bring out your best potential. The role is highly visible and there are opportunities for career growth through demonstrated achievement.
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In this role, you will
Establish strategies and methodologies to Verify and Validate the Software stack with robust test coverage
Work cross-functionally to develop detailed Simulation test plans to validate Autonomous features
Design efficient test programs to achieve test coverage of requirements and scenarios, drawing on simulation, and analysis where possible
Maintain traceability between requirements, test cases, and results
Troubleshoot and debug issues in the field, and trace failures to correct subsystems
- Perform test data analysis and report test 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, or Systems Engineering
6+ years of system engineering experience in the automotive, robotics, or aerospace industry
Analytical skills and hands-on experience
Cross-disciplinary background and curiosity
- Ability to grapple with ambiguity and collaborate with cross-functional teams
- Bonus Qualifications
- Experience developing integration or structured test plans and procedures for safety critical robotic systems and/or autonomous vehicles, especially ADAS systems like AEB.
Familiarity with programming languages such as C or C++
Experience with test scripting and data analysis languages (Python and SQL preferred)
