Intern, Planning & Control Research(Reinforcement Learning & Robotics)

<div> <h3>Company Introduction</h3> <p>Bot Auto is revolutionizing the transportation industry by developing fully autonomous Class 8 commercial motor vehicles. The proprietary technology that fuels our autonomous driving system represents our core intellectual property, requiring best-in-class security measures and leadership.</p> </div> <h3>&nbsp;</h3> <h3><strong>Role Overview</strong></h3> <p>We are seeking a Planning &amp; 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.</p> <h3><strong>What you'll do</strong></h3> <ul data-list-tree="true" data-indent="0" data-border="0"> <li>Research and implement <strong>RL-based planning and control algorithms</strong> in <strong>C++</strong>.</li> <li>Build prototypes and run experiments in simulation to evaluate policy performance.</li> <li>Analyze results and present insights to planning and control engineers.</li> <li>Collaborate with researchers and engineers to bridge theory and practical system constraints.</li> </ul> <h3>What We’re Looking For</h3> <div>Currently pursuing a BS/MS/PhD in CS, Robotics, EE, or related field.<br>Strong foundation in <strong>reinforcement learning, control, or robotics</strong>.</div> <ul data-list-tree="true" data-indent="0" data-border="0"> <li>Proficiency in <strong>C++</strong> and comfort working in large codebases.</li> <li>Ability to read, understand, and implement research papers.</li> </ul>