Systems Engineer, Autonomy Verification and Validation

Zoox•Foster City, CA

4d•$160,000 - $231,000

About The Position

Zoox is developing a full-stack autonomous mobility solution for cities and a robotaxi intended for safe public-road deployment. The System Design and Mission Assurance (SDMA) team constructs the safety case and fail-operational design for autonomous driving robots. The Systems Engineer, Autonomy Verification and Validation is a highly cross-functional role working across program management, legal, software, and operations. The engineer contributes to systems engineering solutions that substantiate the safety case for autonomous driving by validating end-to-end performance through real-world and virtual tests, from AI systems through the custom vehicle platform. The role leads the creation of verification and validation methodologies, develops processes and comprehensive validation plans, reviews verification and simulation results, and prepares reports supporting the safety of autonomous software. It is a highly visible position with opportunities for career growth through demonstrated achievement.

Requirements

Bachelor's degree or higher in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering.
At least 6 years of systems engineering experience in the automotive, robotics, or aerospace industry.
Analytical skills and hands-on experience.
Cross-disciplinary background and curiosity.
Ability to work through ambiguity and collaborate with cross-functional teams.

Nice To Haves

Experience developing integration or structured test plans and procedures for safety-critical robotic systems and/or autonomous vehicles, especially ADAS systems such as AEB.
Familiarity with programming languages such as C or C++.
Experience with test scripting and data analysis languages; Python and SQL are preferred.

Responsibilities

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 coverage of requirements and scenarios, drawing on simulation and analysis where possible.
Maintain traceability between requirements, test cases, and results.
Troubleshoot and debug field issues, tracing failures to the correct subsystems.
Perform test data analysis and report test results.
Define and develop automated data-extraction tools to streamline analysis and reporting.
Create verification and validation methodologies and processes, write validation plans, and review verification and simulation results.