Systems Engineer, Autonomy Verification and Validation

Zoox

Foster City, CAPosted 4 days agoDiscoveredMatch locked

Full-time6+ years expPlatform Safety Engineering and Analysis

About the role

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.

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)

Additional information

About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Not included in the source posting: about the role, benefits.

Skills

cmachine-learningpythonsqlartificial-intelligence

Who can apply

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