Master Thesis

You’ll work on our Embodied AI systems: real robots, in the real world. The work spans across the entire Embodied AI stack and includes learning, prototyping, integration, working with hardware and software. We frame the thesis around a concrete question we agree on together, but the bar is a working demo, not only a write-up. We particularly welcome EPFL students.

What you bring is eagerness, and expertise or experience in any discipline that might be useful. A few signals we like:

• You’ve built something that other people actually used.
• You’ve shown and demoed your own work in front of others.
• Hardware: CAD, 3D printing, PCB design, mechatronics integration (servos, sensors, cameras).
• Software:
  Linux, Docker, ROS2, Python, Git, React/Type Script.
• Compute:
  Cloud (gcloud, AWS, Azure), Edge (RPi, Jetson), Microcontrollers (Arduino).
• Learning: IL/RL, PyTorch, Isaac ROS/Lab/Newton, W&B, HF’s LeRobot.

None of these are required, and the list isn’t exhaustive. Excellence in one area plus eagerness is exactly what we’re after.

You’ll be part of the fast-growing Embodied AI team developing solutions to real world problems.

Start date and duration open.

Keep your application short and concise. We thank you for not making us read more than half a page.

Embodied AI is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.