System Test Engineer

Zoox

San Diego, CAHybridFull time
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Pay
$153K to $209K
a year
Location
San Diego, CA
Work style
Hybrid
Job type
Full time
Posted
Oct 6
11 days ago
Career path

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About the company

Zoox

Automotive · 1,001 to 5,000 employees

Zoox on LinkedIn

What you'll do

  • Lead integration and validation of autonomy, robotics, and autonomous behaviors to support safety, customer needs, and milestone readiness.
  • Design and develop high-level integration test efforts, including feature validation, functional, and regression testing, and report results.

What you need

  • 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 with designing, developing, and executing test methodologies that scale across multiple teams
  • Strong software development experience with high-level language (e.g. Python, Pytest, REST API), along with version control systems (e.g Git) 
  • Integrated systems troubleshooting experience
  • Experience with Hardware in the Loop (HIL) and/or Software in the Loop (SIL)
  • Experience with issue reporting tools (e.g. Jira, Azure Dev Ops)
  • Experience with Linux and Unix based systems

Key skills

System IntegrationValidationFeature validationRegression testing

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Read the full posting here
Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. Zoox is seeking a highly motivated System Test Engineer to be a technical contributor supporting the System Integration and Validation team. You will be leading the integration and validation of autonomy, robotics, and autonomous behaviors to ensure the product meets safety, customer needs, and milestone readiness. You will be responsible for designing and developing test efforts at the highest level of integration, including feature validation, functional, and regression testing, toward the successful execution and reporting of these efforts.

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