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Zoox is developing a full-stack autonomous mobility solution and robotaxi platform. The System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case and fail-operational design for autonomous driving robots before public road deployment.
As a Validation and Verification Systems Engineer, you will own a highly cross-functional role spanning program management, legal, software, and operations. You will be part of a systems engineering organization that develops and deploys novel solutions to substantiate a safety case for autonomous driving. Your work will involve both real-world and virtual tests capturing end-to-end performance from advanced AI systems through the custom vehicle platform.
Key responsibilities include:
- Establish strategies and methodologies to verify and validate the software stack with robust test coverage
- Work cross-functionally to develop detailed simulation test plans for autonomous features
- Design efficient test programs to achieve test coverage of requirements and scenarios using simulation and analysis
- Maintain traceability between requirements, test cases, and results
- Troubleshoot and debug issues in the field, tracing failures to correct subsystems
- Perform test data analysis and report results; define and develop automated data extraction tools to streamline analysis and reporting
- Lead the creation of cutting-edge V&V methodologies and develop processes
- Write comprehensive validation plans and review verification and simulation results
The role is highly visible with opportunities for career growth through demonstrated achievement. You will work within an organization with strong leadership and a transparent, respectful culture.
Requirements:
- B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering
- 6+ years of systems engineering experience in 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)
