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

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Summary

Location

Houston, United States

Work

Internship

Experience

Entry-level

About this Job

Company Introduction

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.

Role Overview

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.

What you'll do

  • 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.

What We’re Looking For

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.

About the Company

Bot Auto logo

Bot Auto

Privately Held
Transportation & Autonomous VehiclesRobotics Software & AI

We are an L4 autonomous trucking company, based in Houston, Texas. We operate our autonomous truck fleet and offer Transportation as a Service (TaaS) to our freight customers. Our team combines visionary leadership, top-tier science and engineering talents, financial and governance experts, and industry veterans to build an AI-driven autonomous trucking company. We focus on fleet operations, transforming autonomous trucking into a commercially profitable product. This blend of experience, industry maturity, and innovative technology positions us to commercialize autonomous trucking at scale.

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