- Workplace
- Hybrid
- Type
- Full-time
- Level
- Not stated
- Salary
- $160K – $231K/yr
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:
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Establish strategies and methodologies to Verify and Validate the Software stack with robust test coverage
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Work cross-functionally to develop detailed Simulation test plans to validate Autonomous features
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Design efficient test programs to achieve test coverage of requirements and scenarios, drawing on simulation, and analysis where possible
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Maintain traceability between requirements, test cases, and results
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Troubleshoot and debug issues in the field, and trace failures to correct subsystems
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Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline analysis and reporting
Qualifications
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B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering
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6+ years of system engineering experience in the automotive, robotics, or aerospace industry
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Analytical skills and hands-on experience
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Cross-disciplinary background and curiosity
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Ability to grapple with ambiguity and collaborate with cross-functional teams
Bonus Qualifications
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Experience developing integration or structured test plans and procedures for safety critical robotic systems and/or autonomous vehicles, especially ADAS systems like AEB.
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Familiarity with programming languages such as C or C++
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Experience with test scripting and data analysis languages (Python and SQL preferred)
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AccommodationsIf 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.
JobsPing insights
Our own analysis of this role, based on every open job we track. Updated daily.
Salary benchmark
Software Engineering roles in United States · 329 posted USD salaries
This role's midpoint is about 34% below the median for comparable listings. How to negotiate
How in-demand these skills are
Share of all open roles on JobsPing that ask for each skill
- Python23% · 2,145
- Machine Learning19.5% · 1,823
- SQL13.2% · 1,227
- C++5.9% · 553
Zoox right now
- Open roles
- 241
- Remote
- 0%
- New this week
- 17
Skills they ask for most: Machine Learning, Python, C++, LLM / GenAI.
How to stand out for this role
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- Link one repository or project that uses this job’s main stack, and make sure its README explains what you built.
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- Prepare one story about a production bug you debugged end-to-end; it comes up in almost every loop.