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Zoox

Systems Test Engineer, System Behavior Analysis

Compensation
$148K–$208K / yr
Location
San Diego, CA, US
Arrangement
Hybrid
Employment type
Full-time
Posted
18 September 2026 (12 days ago)

Checked 6 days agoApplications go to the employer, never to RoleSprint

About this role

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.

As a Systems Test Engineer on our System Behavior Analysis Autonomous team, you will play a critical role in the development of Zoox's autonomous platform, working with a broad set of engineering teams across Zoox. You will help triage and root cause the issues identified during testing and real-world operations. You will also produce reports and insights that inform leadership on the overall quality and influence of engineering decisions. Your ability to distill complex systems and root cause issues will be crucial to producing a safe and stable vehicle platform.

In this role, you will: • Utilize data analytics to analyze and diagnose a wide range of system faults and errors related to perception, planner, and other AI software from both on-road testing and system simulations.

• Effectively categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance by working collaboratively with cross-functional teams (engineering, software, testing).

• Identify trends in system failures and propose preventative measures to improve overall system safety and robustness by producing clear and concise reports of system issues, troubleshooting steps, and root cause analysis.

• Be hands-on, lead by example, and develop tools and workflows to drive improvements for both quality and quantity aspects of the triage.

• Demonstrate operational agility by quickly adapting to changing priorities, managing multiple tasks simultaneously, and implementing effective solutions in dynamic environments.

Qualifications • Bachelor's or Masters degree in Computer Science or STEM-related field

• Minimum of 5 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or embedded systems industry

• Experience using Python or a similar language for automation, programming, and scripting

• Strong analytical and problem-solving skills with a methodical approach to root cause analysis

• A passion for autonomous vehicle technology and safety is essential

Bonus Qualifications • Experience in a Quality Assurance or Triage role for Autonomous Driving

• Project Management experience on programs involving cross-functional partners and offshore teams

• Experience with data analytics, dashboards, queries, etc using SQL, Python, and/or Databricks

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 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.

Work location

  • San Diego, CA, US

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About this listing

Advertised by Zoox and published on Lever, the applicant tracking system they use.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 18 September 2026, last checked 6 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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