RL Navigation Internship: Hands-on Robotics & AI

Internship - Reinforcement Learning for Navigation Requirements

• Education:
  
  Currently enrolled in a Bachelor's, Master's, or PhD program in Robotics, Computer Science, Electrical/Mechanical Engineering, Mechatronics, or a related technical field.
• Foundational Knowledge:
  Solid academic knowledge and proven ability in one or more areas relevant to mobile robotics, such as Control Theory, Machine Learning, Computer Vision.
• Programming
  
  Skills:
  
  Strong proficiency in Python and/or C++ (Modern C++ is highly valued).
• Software Development
  
  Skills:
  
  Experience with Git, Docker, and AI-assisted software development tools (e.g., Cursor, Claude Code, Git Hub Copilot).
• Collaboration:
  
  Excellent communication skills and the ability to work effectively in our highly interdisciplinary, English-speaking environment.
• Attitude: A hands-on, proactive, and analytical attitude towards complex problem-solving and eagerness to learn rapidly.
• You have trained AI models on GPUs and have explored CUDA or other GPU-accelerated computing frameworks.
• You spend your weekends automating your workflows with Agentic AI.
• You know and worked with Robotics Middleware (ROS/ROS
  2).