Zoox
Full TimeDesign, develop, and implement quantitative behavior metrics that assess AV performance across diverse driving scenarios and geofences
Build and maintain data pipelines and dashboards to track simulation and fleet metrics across geographies and software versions
Drive the definition of metric thresholds and acceptance criteria to support geofence expansion decisions
Communicate findings and metric frameworks clearly to technical and non-technical audiences
B.S. or M.S. in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience)
5+ years of experience in data science, with a focus on metric design and development or performance evaluation
Strong proficiency in Python in production environments with standard repo practices
Experience working with time-series or sensor data; familiarity with robotics or AV data is a plus
Ability to work cross-functionally and distill complex technical requirements from diverse stakeholders
Proficiency in C++
Experience with simulation-based validation and metrics
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Zoox, an Amazon subsidiary, develops an autonomous ride-hailing service and a purpose-built electric robotaxi. Rather than adapting a conventional car, it designed a bidirectional vehicle around autonomous operation, passenger use, and dense urban mobility. The company develops the vehicle, autonomous-driving software, sensing, simulation, fleet systems, and rider experience as one integrated service. Zoox is progressing from testing toward commercial robotaxi operations with safety and controlled deployment at the center of its approach.
United States Hybrid
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