About the role
In this role you will :
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Design, develop, and implement quantitative behavior metrics that assess AV performance across diverse driving scenarios and geofences
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Build and maintain data pipelines and dashboards to track simulation and fleet metrics across geographies and software versions
- Identify performance gaps and regressions by analyzing large-scale vehicle logs and simulation data
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Drive the definition of metric thresholds and acceptance criteria to support geofence expansion decisions
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Communicate findings and metric frameworks clearly to technical and non-technical audiences
Qualifications:
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
Bonus Qualifications:
Proficiency in C++
Experience with simulation-based validation and metrics
Tech stack
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