(M/W) AI & Control Engineer – Whole-Body Control

Wandercraft; Paris; Sur place; EUR 80 000 - 110 000; Plein temps

Résumé du poste

Wandercraft is seeking a skilled control engineer to advance whole-body control for exoskeletons and humanoid robots. You will formulate, simulate, deploy and validate algorithms on real hardware, collaborating with multi-disciplinary teams across robotics disciplines.

Your work will span floating-base robot control, trajectory optimization and learning-based approaches where relevant, with a focus on robustness and real-time execution. Strong coding skills in C++/Python are essential.

Qualifications

• Master's or PhD in Robotics, Controls, Optimization or related field.
• Hands-on experience with robotics, control, motion generation or trajectory optimization.
• Proficiency in programming (C++/Python).

Responsabilités

• Develop whole-body control algorithms for floating-base robots.
• Design control strategies using MPC and NMPC.
• Develop trajectory optimization and motion generation algorithms.
• Test, debug and validate algorithms on exoskeletons and humanoid robots.
• Contribute to architecture and long-term direction of the control stack.

Connaissances

C++/Python

Algorithmics

Robotics

Control theory

Machine learning

Formation

Master's/PhD in Robotics/Controls/Optimization

Description du poste

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

Diploma: Master’s or PhD degree in Robotics, Controls, Optimization, Applied mathematics, or related scientific fieldRequired 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 levelAlgorithmics - Autonomous levelRobotics (kinematics, dynamics, working with sensor data) - Autonomous levelControl theory - Autonomous levelMachine learning - Basic knowledge