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

Wandercraft; Paris; On-site; EUR 48,000 - 76,000; Full time

Job summary

Wandercraft is seeking a control-focused engineer to advance whole-body control for exoskeletons and humanoid robots. You will formulate algorithms, simulate them, and deploy on real hardware, collaborating with cross-disciplinary teams. A Master’s degree (M2) in Robotics or related fields is required, with PhD candidates welcome.

Hands-on robotics experience and strong C++/Python skills are essential. Knowledge of locomotion, motion generation, and real-time execution will be valuable for

Qualifications

• Hands-on experience with robotics, control, motion generation or trajectory optimization from industry, research or significant academic projects.
• Strong programming skills in C++ and Python.
• Experience with sensor data and state estimation.

Responsibilities

• Develop whole-body control algorithms for floating-base robots and exoskeletons.
• Design control strategies using MPC and NMPC.
• Develop online/offline trajectory optimization and motion generation algorithms.
• Improve whole-body trajectory tracking for locomotion and manipulation.
• Model robot dynamics, contacts and interactions with the environment.
• Write efficient, maintainable software in C++ and Python.
• Test, debug and validate algorithms on real robots.

Skills

C++/Python programming

Robotics fundamentals

Trajectory optimization

Education

Master’s degree (M2) in Robotics/Controls/Applied Mathematics

PhD candidates welcome

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

Diploma: Final year of a Master’s or engineering school program (M2 or equivalent) in Robotics, Controls, Optimization, Applied Mathematics, or a related scientific field.

PhD students are also welcome to apply.

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 levelAlgorithmics - Autonomous levelRobotics (kinematics, dynamics, working with sensor data) - Autonomou…