Simulation & Digital Twin Engineer

pResponsible for supporting the development, testing, and validation of high-fidelity simulation environments and digital twins for humanoid robotics. The role focuses on creating physically accurate assets, robot and sensor models, and complex simulated missions for feasibility studies. It supports simulation-to-real validation, reinforcement learning pipelines, synthetic data generation, and collaboration with simulation, mechanical, control, perception, and AI teams. /ph3Responsibilities /h3ulliTest simulated environments and validate them against real-world scenarios. /liliDevelop physically accurate assets from CAD models or 3D scans and integrate them into USD-based environments. /liliSupport synthetic data generation pipelines for perception, testing, and learning. /liliEnable rapid simulation cycles by: Structuring environments for RL compatibility, optimizing simulation performance for scalability and parallel training. /liliDevelop complex missions and scenarios for feasibility studies and system validation. /liliSupport the design, integration, testing, and validation of new simulated robot models. /liliConfigure and validate simulated sensors, including LiDARs, cameras, IMUs, and force sensors. /liliContribute to sim-to-real alignment and simulation documentation. /li /ulh3Requirements /h3ulliDegree in Mechanical Engineering, Robotics, Mechatronics, Automation or related field. /liliExperience in robotics simulation, physics-based environments, game engines, CAD, or 3D modelling. /liliWorking knowledge of Python. /liliExperience with simulators such as Isaac Sim, MuJoCo, CATIA, Unity or similar. /liliFamiliarity with: simulation pipelines, assets, scenes, and sensor simulation, CAD models and 3D environments, basic rendering and physics concepts, structured testing and validation. /li /ulh3Nice to Have /h3ulliExperience with USD/Omniverse ecosystem. /liliExposure to synthetic data generation. /liliFamiliarity with robot kinematics and dynamics or mechanical modelling. /liliExperience with Reinforcement Learning. /liliFamiliarity with ROS/ROS 2. /li /ulh3Additional information /h3ulliContract Type: Full-time /liliSmart Working: Available (e.g., 1 day/week, subject to team policy) /liliDriving Licence: Required /li /ulh3Why Join Oversonic Robotics? /h3ulliContribute to a pioneering company shaping the future of humanoid robotics in Italy. /liliWork with cutting-edge technology with real-world impact. /liliCollaborate with a passionate and innovative team in a hybrid work environment. /liliJoin a company committed to sustainability, transparency, and social benefit. /liliEnjoy opportunities for professional growth and influence our technological direction. /li /ul #J-18808-Ljbffr