Run weekly triage process for large-scale AI driving simulations at Zoox. Expertly categorize simulation events, identify failure trends, recommend tooling improvements, and communicate performance measures to AI teams and executives. Requires 5+ years systems troubleshooting experience, preferably in autonomous driving QA/triage.
122k – 185k
Hybrid5+ YOEOther
About the role
Responsibilities
Run the weekly triage process, coordinating team members involved in each step.
Perform expert triage on simulation events daily.
Categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance.
Identify trends in system failures and work cross-functionally to align on AI performance metrics.
Develop and maintain objective triage processes.
Recommend improvements to the triage process and tools, including AI tools and automation.
Document issues in the driving software, simulator, or scenario definitions and work with appropriate teams to resolve them.
Provide reliable and trusted measures of AI performance to engineers in AI, simulation, infrastructure, and data science.
Distill triage results for communication with AI developers and executives.
Requirements
5+ 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 (preferably Python).
Nice-to-Haves
Experience with root cause analysis of an autonomous vehicle stack.
Skills
PythonGitAgileRoot Cause AnalysisAutonomous DrivingQuality AssuranceTriageSimulationAi Performance Metrics
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