Intern, Planning & Control Research; Reinforcement Learning & Robotics

Houston, TX

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.

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.

• 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.

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.

As set forth in Bot Auto’s Equal Employment Opportunity policy we do not discriminate on the basis of any protected group status under any applicable law.