Physical AI Engineer

Job Summary

Working remotely or in a hybrid environment, the full-time Physical AI Engineer will build and evaluate high-fidelity physics-based simulation environments using NVIDIA Omniverse, focusing on training robotic agents through reinforcement learning and synthetic data.

Key responsibilities

• Build and maintain simulation environments for training robotic agents in NVIDIA Omniverse / Isaac Sim
• Design and implement reinforcement learning and imitation learning pipelines using simulation-generated data
• Integrate foundation models to enhance decision-making processes and ensure reliable performance on physical robots

Required qualifications

• 5-8+ years of experience in robotics, reinforcement learning, or applied machine learning
• Strong hands-on experience with reinforcement learning and imitation learning techniques
• Proven ability to build and train agents in simulation environments
• Experience with the NVIDIA ecosystem, particularly Omniverse and Isaac Sim
• Strong Python programming skills for developing scalable training pipelines