Principal Robotics Simulation Architect

What you'll do

• Build pipelines to transfer learned behaviors, sensor models, and physics parameters between simulation and real-world systems.
• Architect and deploy scalable, low-latency simulation infrastructure on cloud platforms for distributed training.
• Integrate AI/ML frameworks into simulation environments for reinforcement learning and synthetic data generation.
• Design and implement SIL testing frameworks to validate perception, planning, and control modules.
• Develop and maintain HIL testing setups to interface real hardware with simulated environments.
• Maintain digital twin models for robotic systems with real-time state synchronization and physics calibration.
• Research and implement the latest trends in sim-to-real methodologies and robotics simulation frameworks.

What we're looking for

• Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
• Experience in simulation architecture using platforms such as NVIDIA Isaac Sim, Gazebo, MuJoCo, Webots, or Unreal Engine (preferred).
• Experience developing and maintaining digital twin models for robotic systems with real-time state synchronization and physics calibration (preferred).
• Experience designing domain randomization strategies, sensor noise modeling, and physics engine calibration for sim-to-real pipelines (preferred).
• Expertise in architecting and deploying containerized and distributed simulation workflows on cloud platforms (preferred).
• Experience integrating machine learning frameworks like PyTorch, TensorFlow, or Isaac Lab into simulation pipelines (preferred).
• Hands-on experience designing and executing Software-in-the-Loop and Hardware-in-the-Loop testing workflows (preferred).
• Proven experience with ROS and ROS2 in simulation and real-world robotic deployments (preferred).