Systems Triage Engineer

Foster City, CA Remote Hybrid
USD 145k - 180k
Git Python Machine Learning
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 Triage 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 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:

  • Analyze and diagnose a wide range of system faults and errors related to hardware, software, and sensor data from both on-road testing and system simulation runs
  • Effectively categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance
  • Work collaboratively with cross-functional teams (engineering, software, testing) and offshore teams
  • Identify trends in system failures and propose preventative measures to improve overall system safety and robustness
  • Produce clear and concise reports of system issues, troubleshooting steps, and root cause analysis


  • Bachelor's 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 with Git, Agile methodologies, and scripting/programming languages (preferably Python)
  • 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
  • Experience with Log Management and Analytics tools like Splunk, Dynatrace
  • Project Management experience on programs involving cross-functional partners and offshore teams
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $145,000 to $180,000. A sign-on bonus may be offered as part of the compensation package. 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.

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.
Autonomous Vehicles Machine Learning Robotics Transportation

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