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

Wandercraft; Paris; On-site; EUR 65,000 - 90,000; Full time

Job summary

Wandercraft in Paris seeks a skilled robotics control engineer to develop whole-body control algorithms for exoskeletons and humanoid robots, from formulation to deployment on real hardware.

You will work on locomotion, trajectory optimization, model dynamics and sensor data integration, with real-time execution on robots, collaborating with cross-functional teams in a fast-paced environment.

Qualifications

• Hands-on robotics experience in control, motion generation or trajectory optimization.
• Final year Master’s or engineering degree in Robotics, Controls or related field.
• Proficient in C++/Python with sensor data and dynamics understanding.

Responsibilities

• Develop whole-body control algorithms for floating-base robots.
• Design control strategies using MPC and NMPC.
• Develop online/offline trajectory optimization and motion generation.
• Test, debug and validate algorithms on exoskeletons and humanoid robots.
• Write efficient, maintainable software in C++ and Python.

Skills

Programming (C++/Python)

Algorithmics

Robotics (kinematics, dynamics, sensor

Control theory

Machine learning

Education

Master’s degree or engineering school (M2) in Robotics/Controls/Math

Tools

C++

Python

Job description

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: 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 level
  • Algorithmics - Autonomous level
  • Robotics (kinematics, dynamics, working with sensor data) - Autonomous level
  • Control theory - Autonomous level
  • Machine learning - Basic knowledge

Who are they?

At Wandercraft we pioneer intelligent robotics to help people do what they can’t do.
We apply the most advanced robotics and AI to expand what’s possible for humans in the fields of healthcare and now industry.
Founded in 2012, Wandercraft is globally recognized for creating the world’s first self-balancing walking exoskeleton, Atalante X, which is used in more than 100 rehabilitation centers across four continents helping individuals with disabilities re-learn how to walk, with over a million steps taken each month.
Building on over a decade of real-world experience and a proprietary neural network trained on billions of steps, we’re bringing mobility beyond clinical settings and into the home. Our personal exoskeleton, Eve, is a first-of-its-kind device designed to assist wheelchair users in standing and walking in everyday life.
Now we’re expanding our platform to support industrial and assistive tasks with the Calvin family of humanoid robots. Built in just 40 days, Calvin-40 is designed to relieve factory workers from hazardous labor.
Future versions of Calvin will assist persons with reduced autonomy in their daily activities.
Our growth into home and industrial robotics opens new horizons while reinforcing our ability to scale innovation, improve reliability, and accelerate our impact, across our entire portfolio of products and industries.
From Paris and New York, our team of over 110 engineers, clinicians, researchers, and operators is united by one mission: to design robotics that improve human life, wherever people need them most!

Join us to shape the next generation of medical and humanoid robotics powered by AI and purpose.