Planning & Control Research Intern

Job Description

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Company Introduction
Join Bot Auto, a pioneering force at the forefront of the autonomous vehicle revolution. We are fundamentally transforming the transportation industry by developing and deploying fully autonomous Class 8 commercial motor vehicles. Our success is built upon a foundation of cutting-edge, proprietary technology that fuels our advanced autonomous driving system. This core intellectual property demands not only innovation but also the highest standards of security and leadership in the field. At Bot Auto, you’ll contribute to creating the future of logistics and mobility.

Role Overview: Planning & Control Research Intern
We are actively seeking a highly motivated and talented Planning & Control Research Intern to join our dynamic team. This internship offers a unique opportunity to contribute to the cutting-edge development of reinforcement learning (RL)-based planning and control systems for our autonomous vehicles and advanced robotics platforms. The core focus of this role involves rigorous research, meticulous implementation, and comprehensive evaluation of innovative learning-based algorithms, with a strong emphasis on robust C++ implementation and a deep understanding of system-level interactions.

What You’ll Do

• Research & Algorithm Development: Spearhead the research and C++ implementation of advanced Reinforcement Learning (RL)-based algorithms specifically tailored for planning and control in autonomous Class 8 commercial vehicles and advanced robotics platforms.
• Prototyping & Experimentation: Design, develop, and execute rigorous simulation experiments to build functional prototypes and comprehensively evaluate the performance, robustness, and safety of developed policies.
• Data Analysis & Insight Presentation: Conduct in-depth analysis of experimental results, distill complex data into actionable insights, and effectively present findings and recommendations to senior planning and control engineers.
• Cross-Functional Collaboration: Actively collaborate with a cross-functional team of world-class researchers and engineers, ensuring a seamless translation of cutting-edge theoretical concepts into practical, deployable solutions that meet real-world system constraints.

What We’re Looking For

• Educational Background: Currently enrolled in a Bachelor’s, Master’s, or Ph.D. program in Computer Science, Robotics, Electrical Engineering, or a closely related technical field.
• Core Technical Expertise: Demonstrable strong foundation and deep understanding of core principles in Reinforcement Learning (RL), Control Systems, and/or Robotics.
• Programming Proficiency: Exceptional proficiency in C++ is mandatory, with proven comfort and experience navigating and contributing to large, complex codebases.
• Research Acumen: A strong aptitude and proven ability to read, comprehend, and accurately implement algorithms from academic research papers and publications.

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