System Test Engineer

Job Description

Job Description

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.

• Develop test plans and test cases that are 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

• 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

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to View email address on ziprecruiter.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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.