Staff Robotic Simulation Software Engineer

Requirements

• 3+ years of professional experience in robotics software development.
• Proven hands-on experience developing sophisticated simulation environments and synthetic data generation pipelines using NVIDIA Isaac Sim (or a comparable platform like Gazebo/ROS, V-REP, or MuJoCo, with a strong willingness to transition).
• Strong proficiency in Python and experience with C++ is a plus.
• Experience with the Robot Operating System (ROS).
• Deep understanding of data processing and calibration for robotic sensors, particularly: Vision: Camera models, point clouds, computer vision techniques.
• Force/Torque: Interpretation of F/T sensor data for compliant control or contact detection.
• Tactile: Experience integrating data from various tactile sensing modalities.
• Familiarity with machine learning concepts, especially in the context of robot perception and control (e.g., PyTorch, TensorFlow).

Responsibilities

• Design, implement, and maintain complex, photorealistic, and physically accurate robotic simulation environments within Isaac Sim (built on Omniverse).
• Develop custom assets, scripts, and world layouts to represent diverse operational scenarios for robot training.
• Configure and utilize virtual sensors within Isaac Sim, specifically vision (e.g., RGB-D, LiDAR), force/torque (F/T), and tactile sensors, ensuring accurate data output for training.
• Develop pipelines for large-scale, automated synthetic data generation and annotation from the simulation for AI model training.
• Integrate and test AI/ML models (e.g., reinforcement learning, imitation learning, deep learning for perception) with the simulated robot system.
• Utilize Isaac Sim's tools (e.g., Omniverse Replicator) to manage domain randomization and simulate edge cases to improve model robustness.
• Develop and implement low-level and high-level robot control algorithms within the simulation.
• Validate the performance of trained AI models in simulation before deployment on physical hardware.
• Collaborate closely with hardware, software, and AI research teams.
• Document development processes, simulation parameters, and AI training methodologies.

Benefits

Skills