Design, evaluate, and deploy learned interaction policies to handle complex navigation and yielding
Collaborate cross-functionally at the intersection of prediction and planning, leveraging
Integrate learned models into closed-loop simulation environments, benchmark against rigorous
Focus on high-impact product outcomes, making pragmatic engineering decisions to accelerate the

🎯 Requirements

BS in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent
5+ years of software engineering experience developing high-performance, efficient C++ code.
Hands-on experience building ML models, including expertise in learned driving policies
Proven capability to collaborate effectively across cross-functional engineering teams.

🎁 Benefits

Eligible for discretionary annual bonus program
Equity incentive plan
Generous Company benefits program

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