Roles and Responsibilities

• Develop and maintain high-fidelity simulation environments using NVIDIA Isaac Sim and Omniverse.
• Integrate CAD models and 3D assets into simulation platforms.
• Generate synthetic datasets and implement auto-annotation pipelines for object detection, segmentation, and tracking.
• Simulate multi-sensor setups, including cameras, LiDAR, radar, and depth sensors, for perception validation.
• Support testing and validation of vision-based algorithms in virtual environments prior to real-world deployment.
• Collaborate with AI and robotics teams to simulate robotic tasks such as pick-and-place, navigation, and human-robot interaction.
• Optimize simulation performance and realism to ensure accurate training and testing of AI models.

Required Qualifications

• Proficiency in NVIDIA Isaac Sim, Omniverse, and synthetic data generation tools.
• Strong understanding of CAD model handling and 3D asset integration.
• Experience with Python, C++, and simulation scripting.
• Knowledge of computer vision and deep learning frameworks (PyTorch, TensorFlow, OpenCV).
• Prior experience in auto-labeling pipelines and dataset generation for AI models.

Preferred Qualifications

• Familiarity with ROS/ROS2, Gazebo, Unity, or other simulation platforms.
• Publications, patents, or projects in simulation-based robotics development.
• Experience with multi-sensor robotic simulations and perception pipelines.

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