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Zoox is developing the first ground-up, fully autonomous vehicle fleet and supporting ecosystem. The company is seeking a System Test Engineer to be a technical contributor supporting the System Integration and Validation team.
You will lead the integration and validation of autonomy, cloud, and operational elements to ensure the product meets safety, customer needs, and milestone readiness. You will design and develop test efforts at the highest level of integration, including feature validation, functional, and regression testing, and execute and report on these efforts.
Key responsibilities:
- Develop test plans and test cases abstracted to the highest level of integration
- Focus on automating testing utilizing internal Hardware in the Loop (HIL) and Software in the Loop (SIL) assets
- Review data, collect metrics, and provide quantitative evidence to report on milestone readiness
- Analyze vehicle logs and test data using in-house tools to trace failures for root cause analysis, documentation, and communication
- Support the defect management process from recognition to resolution
This role sits at the intersection of robotics, machine learning, and systems engineering, working on one of the most complex software systems in a safety-critical environment.
QUALIFICATIONS:
- Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Electrical Engineering, or STEM-related field
- 3+ years of industry experience in testing complex systems (autonomy, robotics, and autonomous behaviors)
- Experience designing, developing, and executing test methodologies that scale across multiple teams
- Strong software development experience with high-level languages (e.g., Python, Pytest, REST API) and version control systems (e.g., Git)
- Integrated systems troubleshooting experience
BONUS QUALIFICATIONS:
- Experience with Hardware in the Loop (HIL) and/or Software in the Loop (SIL)
- Experience with issue reporting tools (e.g., Jira, Azure DevOps)
- Experience with Linux and Unix-based systems
