A company is looking for a Physical AI Engineer specializing in simulation and synthetic data.
Key Responsibilities
Build high fidelity, physics-based simulation environments for training robotic agents
Design and run reinforcement learning and imitation learning pipelines
Integrate foundation models to support reasoning and task decomposition in robotics
Required Qualifications
5-8+ years of experience in robotics, reinforcement learning, or applied machine learning
Strong hands-on experience with reinforcement learning and learning-based control
Proven experience building and training agents in simulation environments
Experience working in the NVIDIA ecosystem, including Omniverse and Isaac Sim
Strong Python skills for building and scaling training pipelines