Job Description

Within Wandercraft's Whole Body Control team, you will develop control algorithms for exoskeletons and humanoid robots, from mathematical formulation and simulation to deployment and validation on real robots. 

You will work on challenging robotics problems involving locomotion, manipulation, multi-contact control and whole-body motion generation, with a strong focus on robustness, performance and real-time execution. 

Reporting to the Head of Whole Body Control, you will work closely with other control engineers as well as the mechanical, electronics, perception and software teams. 

Depending on your background and interests, your work may include: 

• Develop whole-body control algorithms for floating-base robots 

• Design control strategies using linear and nonlinear control, MPC and NMPC 

• Develop online and offline trajectory optimization and motion generation algorithms 

• Design and improve whole-body trajectory tracking for locomotion and manipulation 

• Model robot dynamics, contacts and interactions with the environment 

• Develop or integrate state-estimation algorithms using sensor data 

• Explore learning-based approaches, including reinforcement learning, when relevant 

• Write efficient, maintainable software in C++ and Python 

• Test, debug and validate algorithms directly on exoskeletons and humanoid robots 

• Contribute to the architecture and long-term technical direction of the control stack

Preferred Experience

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

• Required experience: Hands-on experience with robotics, control, motion generation, trajectory optimization or related algorithmic development, through industry, research or significant academic projects.

• Skills:

  • Programming (C++/Python) - Autonomous level
  • Algorithmics - Autonomous level
  • Robotics (kinematics, dynamics, working with sensor data) - Autonomous level
  • Control theory - Autonomous level
  • Machine learning - Basic knowledge

Additional Information

• Contract Type: Full-Time
• Location: Paris
• Occasional remote authorized