Calibrate and validate physical reachability and safety-margin metrics against expert human
Analyze large-scale real-world and simulated driving logs to evaluate model accuracy, characterize
Partner cross-functionally to integrate quantitative safety signals into automated event triage and

🎯 Requirements

Currently pursuing an Master's or PhD degree in Computer Science, Engineering, Physics, Statistics
Proficiency in Python and/or C++
Experience analyzing, wrangling, and visualizing large-scale datasets
Demonstrated analytical and statistical skills for validating quantitative models

🎁 Benefits

Interns are eligible to participate in the Company’s generous benefits programs, subject to

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