(H/F) AI & Control Senior Engineer - Modeling & Simulation

Wandercraft; Paris; Sur place; EUR 75 000 - 110 000; Plein temps

Résumé du poste

Wandercraft in Paris is seeking a Senior Modeling & Simulation Engineer to design, develop, and evolve our simulation environment for robotics research. You will enable control development, large-scale experimentation, and machine learning workflows, bridging algorithm development and real-world deployment while collaborating with embedded software, electronics, and mechanics teams.

Focus on realism, robustness, and performance of simulation tools; experience with Python/C++, and ML workflows is

Qualifications

• 5+ years in robotics, simulation, or related field.
• Academic or industry work in robotics simulation, ML, or optimal control is valued.
• Prototyping and rapid experimentation skills with robotics tools are highly appreciated.
• Strong background in linear algebra, kinematics, and physical modeling.
• Experience with software development practices (CI, modularity).

Responsabilités

• Develop and evolve the simulation environment to improve realism and fidelity.
• Improve simulation performance and scalability for large-scale testing and learning campaigns.
• Implement and validate parameter identification methods to improve model accuracy.
• Bridge algorithm development and real-world deployment through simulation studies.
• Collaborate with control, ML, and embedded teams to integrate simulation across workflows.
• Evaluate new simulators and simulation engines for robotics applications.

Connaissances

Python

C++

Robotics

Machine Learning

Control theory

Formation

Master’s Degree / PhD in robotics

Outils

MuJoCo

Isaac Sim

Gazebo

Drake

Bullet

Description du poste

Version française disponible sur demande.

Our AI & Control Team is growing to meet new challenges!

Wandercraft develops advanced bipedal robots designed to operate safely and robustly in the real world. Simulation plays a central role in this effort: it allows us to design and validate control strategies, prototype new behaviors, and accelerate robot development before deploying algorithms on hardware.

In addition, since 2025, Wandercraft has been venturing into humanoid robotics in close collaboration with the Renault Group. Building on our expertise in bipedal robotics, we are expanding our capabilities in autonomy, manipulation, and large-scale experimentation. High-fidelity and scalable simulation environments will be a key enabler for these developments.

To support these ambitions, we are strengthening our simulation capabilities. The Senior Modeling & Simulation Engineer will play a crucial role in designing, developing, and evolving our simulation environment. This environment will support control development, large-scale experimentation, and machine learning workflows, enabling faster iteration and more reliable testing of our robotic systems.

The engineer will be integrated within the AI & Control department and will work closely with other members of the team. Simulation is a core tool used across many of our developments, and this role will collaborate regularly with other R&D teams, including embedded software, electronics, and mechanics.

In this role, you will contribute to improving the realism, robustness, and performance of our simulation tools. You will help develop new simulation capabilities, support large-scale experimentation for machine learning and control algorithms, and evaluate emerging simulation technologies relevant to robotics. Your work will play a key role in bridging algorithm development and real-world robotic deployment.

Reporting to Controls, Architecture, Product, Simulation team, the Senior Modeling & Simulation Engineer will be in charge of (non-exhaustive list):

• Develop and evolve the simulation environment to improve physical realism and model fidelity
• Optimize simulation performance and scalability to enable large-scale testing and learning campaigns
• Develop, implement, and run parameter identification methods to improve the accuracy and predictive power of simulation models
• Develop and apply methods to measure, analyze, and reduce the sim-to-real gap between simulated and real robotic systems
• Design and implement new simulation capabilities based on the needs of the control, robotics, and machine learning teams
• Maintain and evolve the simulation platform (software infrastructure, tools, and pipelines)
• Collaborate with the control and machine learning teams to facilitate the use of simulation for algorithm development and validation
• Conduct technology watch on methods, tools, and simulation engines relevant to robotics
• Identify, evaluate, and benchmark new simulators or simulation frameworks
• Lead the integration of new simulation engines into the control architecture

Diploma: Master’s Degree / PhDRequired experience: 5+ years in robotics, simulation, or a related field Academic experience will be valued, particularly in relation to robotics simulation, physical modeling, machine learning, optimal control, or related fields. Creativity, innovation: you are able to develop new things with a limited existing base and to make prototypes (personal or professional robotics projects are highly appreciated). You have an interest in experimentation and adapting algorithms and tools to the constraints of real systems and commercial robotic products. You have experience in software development (Python/C++). You have experience in team software development (modularity, responding to specifications, continuous integration, etc.). You are comfortable with linear algebra (matrix calculations), kinematics, and physical modeling (reference frame changes, dynamics, contact modeling, etc.). Experience with robotics simulation tools or physics engines (e.g., MuJoCo, Isaac Sim, Gazebo, Drake, Bullet, etc.) is a strong plus. You are rigorous, able to proofread your work and explain your models, calculations, or algorithms clearly. You are curious and have good analytical skills, enabling you to monitor technological developments effectively and learn from scientific literature or meetings at conferences.Hard skills:Programming (C++/Python) - Expert LevelAlgorithmics - Expert LevelRobotics (kinematics, dynamics, sensor data, motors) - Expert LevelMultibody simulation - Expert LevelMultibody modeling - Expert LevelControl theory - Autonomous LevelMachine Learning - Autonomous Level