Systems Triage Engineer

The team’s mission is to design, prototype, and produce novel methods and tools for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our AI and readiness for launch. We use recent advances in machine learning, statistics, optimization, and numerical methods to verify and validate our software and AI in the most challenging environments and subsequently develop tools to enable other teams at Zoox to do the same.

We are looking for a systems engineer who can evaluate and synthesize AI-driving performance in large-scale simulation sets. In this role, you will be responsible for providing expert triage of simulation results, developing training materials for all levels of triage, reviewing the quality of triage results, and distilling results for communication with AI developers and executives. You will work cross-functionally with engineers in AI, simulation, infrastructure, and data science to provide reliable and trusted measures of AI performance.

In this role, you will:

• Perform expert triage on events daily.
• Effectively categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance.
• Review weekly audit reports of triagers and generate actionable plans for improvement.
• Identify trends in system failures and work cross-functionally to align AI performance metrics.
• Develop and maintain objective triage processes.

Qualifications

• At least 4 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or other industry where safety is critical
• Experience in a Quality Assurance or Triage role for Autonomous Driving
• Experience with Git, Agile methodologies, and scripting/programming languages

Bonus Qualifications

• Python experience
• Experience with the root cause analysis of an autonomous vehicle stack.

Compensation

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 $114,000 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.

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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.