Systems Test Engineer, System Behavior Analysis

Zoox; San Diego (CA); On-site; USD 148,000 - 208,000; Full time

Job summary

Zoox is seeking a Diagnostics and Triage Engineer to analyze and diagnose a broad set of perception and AI system faults from on-road tests and simulations. You will categorize issues by severity, produce root-cause analyses, and collaborate with engineering, software, and testing teams to drive safety and reliability improvements.

In this role, you will lead by example, build tools to streamline triage, and quickly adapt to shifting priorities while delivering practical solutions in a

Qualifications

• Bachelor's or Master's degree in Computer Science or STEM field.
• Minimum of 5 years of experience in systems troubleshooting and diagnostics, preferably in automotive or embedded systems.
• Experience using Python for automation, programming, and scripting.
• Strong analytical and problem-solving skills with a methodical approach to root cause analysis.

Responsibilities

• Analyze and diagnose a wide range of system faults and errors related to perception, planner, and other AI software from on-road testing and simulations.
• Categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance with cross-functional teams.
• Identify trends in system failures and propose preventative measures by producing clear reports, troubleshooting steps, and root cause analyses.
• Lead by example, develop tools and workflows to improve triage quality and quantity, and adapt to changing priorities in dynamic environments.
• Demonstrate operational agility by managing multiple tasks and implementing effective solutions.

Skills

Python

Analytical skills

Problem-solving

Autonomous vehicle enthusiasm

Education

Bachelor's or Master's in Computer Science or STEM

Tools

SQL

Databricks

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.

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‑off, 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

$148,000 - $208,000 a year

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 [email protected] 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.