Develop metrics and large-scale evaluation pipelines to assess fidelity of Zoox's GenAI-powered autonomous vehicle simulator. Requires 5+ years in quantitative evaluation or robotics, strong Python/data analysis skills, and statistics knowledge.
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About the role
Responsibilities
Design and implement metrics to measure the accuracy of simulated sensors, agents, and virtual environments.
Develop robust strategies for simulator evaluation, including dataset mining, and implement these in large-scale evaluation pipelines.
Write design proposals and drive execution while proactively communicating risks to partner teams.
Drive consensus on validation methodologies with cross-functional teams in Autonomy, Safety, and Simulation.
Collaborate with autonomy, safety, and simulation teams to define quantitative validation criteria for simulator fidelity.
Use exploratory data analysis to root-cause gaps in simulator performance.
Requirements
5+ years of experience in quantitative evaluation, autonomous robotics, or sensor data analysis (lidar, camera, radar).
Proficiency in Python and data analysis (e.g., Pandas, NumPy, SQL).
Strong foundation in data visualization.
Working knowledge of applied statistical methods (e.g., histograms, probability distributions, simple hypothesis testing).
Strong communication skills and thrives in dynamic environments by proactively seeking clarity.
BS, MS, or Ph.D. in Computer Science, Robotics, or a related field.
Nice-to-Haves
Experience with autonomous vehicle software stack (e.g., Perception, Prediction, Planning).
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