Job Requirements
We are looking for a Digital-Twin and Robotics Simulation Engineer to build and maintain the simulation-first pipeline for a humanoid robotics program. The role centers on building high-fidelity digital twins in NVIDIA Omniverse / Isaac Sim, generating synthetic data, and supporting policy training and validation for a humanoid robot before it is deployed on physical hardware. Candidates with a robust real-time 3D / simulation background (Unity, Unreal Engine, or similar, using C++/C#) who have since transitioned into the NVIDIA Omniverse / Isaac ecosystem are strongly preferred.
ROLES & RESPONSIBILITIES
• Build and maintain physically accurate digital twins of robot platforms on OpenUSD using NVIDIA Omniverse and Isaac Sim.
• Set up scenes, sensors, physics properties, and workplace randomization for synthetic data generation using Isaac Lab / Cosmos world models.
• Support training and post-training of foundation-model robot policies (e.g., Isaac GR00T-class VLA models) by preparing simulation-ready datasets and trajectories.




• Develop Python-based tooling and pipelines to automate scene generation, domain randomization, data export, and simulation-to-training hand-off.
• Integrate Omniverse / Isaac Sim outputs with ROS 2 nodes, middleware bridges, and downstream AI training workflows.
• Work with the embedded / MCU team to align simulation timing, sensor models, and control interfaces with hardware-in-the-loop (HIL) requirements.
• Validate simulation fidelity against real robot behaviour and iterate on physics tuning, sensor noise models, and scene accuracy.
• Collaborate with 3D content, AI/ML, and embedded engineers to keep digital assets, physics rigs, and policies in sync across the pipeline.
• Document simulation architecture, pipelines, and configuration for reuse across future robot programs.
• Participate in Agile ceremonies, sprint planning, and technical design reviews.

Work Experience
• Bachelor's or Master's degree in Computer Sci

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