Isaac Sim Expert

The Isaac Sim Expert / Simulation Engineer is responsible for building, maintaining, and optimizing realistic robotics simulation environments using NVIDIA Isaac Sim.

This role focuses on standing up end-to-end simulation scenes from scratch, including custom components, synthetic data pipelines, and auto-annotation workflows, while ensuring high fidelity between simulation and real-world robotics systems.

The position also supports physical robotics integration to align simulation accuracy with deployed hardware.

• Design, build, and maintain full simulation environments using NVIDIA Isaac Sim
• Create high-fidelity simulation scenes from scratch, including custom parts and assets
• Develop and manage synthetic data pipelines, including CAD ingestion and automated data generation
• Implement auto-annotation workflows to support model training and fine-tuning
• Ensure close alignment between simulated environments and real-world physical behavior
• Support robotics hardware integration, including robot arms, cameras, and grippers
• Perform calibration, inverse kinematics (IK) testing, and validation between simulation and physical systems
• Conduct safety checks and system validation during hardware bring-up
• Collaborate with robotics, perception, and ML teams to unblock model development and fine-tuning efforts

• Strong experience as a simulation engineer working across the robotics stack (excluding modeling)
• Hands-on expertise with NVIDIA Isaac Sim and robotics simulation environments
• Experience setting up complete simulation scenes, including custom assets and environments
• Experience with synthetic data generation, CAD ingestion, and auto-annotation pipelines
• Strong understanding of robotics systems, including kinematics, sensors, and hardware integration
• Experience installing, configuring, and calibrating robotic arms, cameras, and grippers
• Ability to align simulation behavior closely with real-world physical systems

• Experience working with robotic perception, manipulation, or autonomy systems
• Familiarity with simulation-to-real validation techniques
• Experience supporting model training or fine-tuning workflows
• Strong troubleshooting and system integration skills in robotics environments