are enrolled in a technical degree program (Computer Science, Physics, Mathematics, etc.)
have team-based programming experience (e.g., Python) and foundational knowledge in robotics and AI
are passionate about continuous learning and deeply curious about technical domains
demonstrate quick comprehension, analytical rigor, and self-driven problem-solving
can spare at least 12 weeks

Reinforcement Learning: Train a humanoid robot (Unitree G1) to walk in arbitrary directions, with and without arm movements
Robot Foundation Models: Optimize NVIDIA GR00T for various robots and tasks using Imitation Learning on simulation and real-world data
Indoor Navigation: Train a robot in Isaac Lab to navigate safely in our office using camera and LiDAR systems

A demanding, academic environment
An open-minded and team-oriented culture characterized by strong tem spirit and flat hierarchies
Continuous education within our internal Techdays (up to 10% of the working time) as well as external training
Remote work occasionally possible
Attractive work-life balance with flexible working hours and 2.5 days of vacation per month
A continuous supply of drinks, snacks, ice cream and regular barbecues with everything from steaks to vegan burgers
Optionally a position as a working student following the internship