About The Position

We are seeking a Planning & Control Research Intern to work on reinforcement learning–based planning and control for autonomous vehicles and robotics. The internship focuses on researching, implementing, and evaluating learning-based algorithms with an emphasis on C++ implementation and system-level understanding.

Requirements

  • Currently pursuing a BS/MS/PhD in CS, Robotics, EE, or related field.
  • Strong foundation in reinforcement learning, control, or robotics.
  • Proficiency in C++ and comfort working in large codebases.
  • Ability to read, understand, and implement research papers.

Responsibilities

  • Research and implement RL-based planning and control algorithms in C++.
  • Build prototypes and run experiments in simulation to evaluate policy performance.
  • Analyze results and present insights to planning and control engineers.
  • Collaborate with researchers and engineers to bridge theory and practical system constraints.
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