Within a young and dynamic start-up located in the center of Paris, you will participate in the development of exoskeleton control. This work will include aspects of modeling, optimization, trajectory generation, controller synthesis and/or reinforcement learning. You will be tasked with developing the most robust and safe algorithms to ensure the best possible experience for our users.

Reporting to the Head of Dynamic Walking, you will be integrated in the Controls team and will collaborate with the Mechanical and Electronic teams to implement the most recent approaches of robotics.

Your main activities will for example be (non-exhaustive list):

• Develop controls algorithms with strategies like linear control, non-linear control, MPC

• Train end-to-end or hybrid policies with reinforcement learning

• Optimize trajectories offline and online

• Write efficient software in C++ and Python

• Improve system modeling and simulator realism

• Develop state estimation algorithms

• Participate in the team’s tests on the exoskeleton

• Diploma: Master’s or PhD degree in Controls, Machine Learning, Optimization, Applied mathematics, or related scientific field

• Required experience: projects on robotics system controls and/or Machine Learning

Skills

• Programming (C++/Python): autonomous

• Algorithmics: autonomous

• Robotics (kinematics, dynamics, working with sensor data): autonomous

• Control theory: autonomous

• Machine learning: autonomous

As part of an ongoing structuring project, we anticipate a future need within our R&D teams. We are opening this opportunity now to meet interested candidates and build a talent pool in advance.
If this topic resonates with you, it’s the perfect time to connect!
Opportunity expected in May 2025.

This job offer is also available in French language on request.