Robotics Simulation & Digital Twin Engineer

Oversonic Robotics; Monza; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work environment

Smart Working: 1 day/week

Job summary

Oversonic Robotics is seeking a skilled Simulation Engineer to support the development, testing, and validation of humanoid robotics simulation environments. You will create physically accurate assets, integrate CAD models and sensor simulations, and collaborate across simulation, mechanical, control, perception, and AI teams.

You will contribute to reinforcement learning pipelines, synthetic data generation, and sim-to-real alignment, enabling rapid iteration through scalable, RL-friendly

Qualifications

• Degree in Mechanical Engineering, Robotics, Mechatronics, Automation or related field.
• Experience in robotics simulation, physics-based environments, game engines, CAD, or 3D modelling.
• Working knowledge of Python.

Responsibilities

• Test simulated environments and validate them against real-world scenarios.
• Develop physically accurate assets from CAD models or 3D scans and integrate them into USD-based environments.
• Support synthetic data generation pipelines for perception, testing, and learning.
• Enable rapid simulation cycles by structuring environments for RL compatibility and optimizing performance for scalability and parallel training.
• Develop complex missions and scenarios for feasibility studies and system validation.
• Support the design, integration, testing, and validation of new simulated robot models.
• Configure and validate simulated sensors, including LiDARs, cameras, IMUs, and force sensors.
• Contribute to sim-to-real alignment and simulation documentation.

Skills

Python

Robotics simulation

Education

Bachelor’s degree in Mechanical Engineering/Robotics/Mechatronics/Automation

Tools

Isaac Sim

MuJoCo

CATIA

Unity

CAD

3D Modelling

Job description

Oversonic Robotics is seeking a skilled Simulation Engineer to support the development, testing, and validation of humanoid robotics simulation environments. You will create physically accurate assets, integrate CAD models and sensor simulations, and collaborate across simulation, mechanical, control, perception, and AI teams.

You will contribute to reinforcement learning pipelines, synthetic data generation, and sim-to-real alignment, enabling rapid iteration through scalable, RL-friendly