Must Have Technical/Functional Skills:
Develop and maintain simulation environments using NVIDIA Isaac Sim and Omniverse
Integrate CAD models and create synthetic datasets for training computer vision models
Implement auto-annotation pipelines for object detection, segmentation, and tracking
Simulate multi-sensor setups (camera, LiDAR, radar, depth sensors) for perception validation
Support testing of vision-based algorithms in virtual environments before real-world deployment
Collaborate with AI and robotics teams to simulate robotic tasks like pick-and-place, navigation, and human-robot interaction
Install and configure robot arms, end-effectors (grippers), cameras, and other sensors
Perform system calibration including camera calibration, hand-eye calibration, and sensor alignment
Conduct inverse kinematics (IK) testing and validation for robotic motion planning
Integrate hardware components with control software and perception systems
Roles & Responsibilities:
Master's/Bachelor's in Robotics, Computer Science, Mechanical Engineering, Mechatronics, or related field
5 plus years of experience in simulation engineering for robotics or autonomous systems with proficiency in NVIDIA Isaac Sim, Omniverse, and synthetic data generation tools
Experience with ROS/ROS2 and hardware-software interfacing
Familiarity with ROS/ROS2, Gazebo, Unity, or other simulation platforms is a plus
Knowledge of computer vision and deep learning frameworks (PyTorch, TensorFlow, OpenCV)
Understanding of kinematics, dynamics, and motion control systems
Regards,
Rajan
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