Our group'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 an experienced system triage engineer who can evaluate and synthesize AI-driving performance in large-scale simulation sets. In this role, you will be responsible for running the weekly triage process. This entails coordinating the team members involved in the steps of the triage process, providing expert triage of simulation results, 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. You will recommend improvements that can be made to the triage process in terms of tooling or automation. You will document issues in the driving software, simulator or scenario definitions and work with the appropriate teams to get these issues resolved.