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. Key Responsibilities 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 Required Qualifications 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 Preferred Qualifications 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 #J-18808-Ljbffr