Senior Robotics Simulation Engineer - AI & Control

Wandercraft

Paris

Sur place

EUR 75 000 - 110 000

Plein temps

14 jours+
Générateur de candidature

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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

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

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