onsite
Physical AI Engineer - Simulation & Synthetic Data - TD Synnex
AI Engineer
Lead the development of Physical AI systems, training reinforcement learning agents in NVIDIA Omniverse physics simulations to create intelligent robotic behaviors that emerge through real‑world interaction.
About the role
Key Responsibilities
- Design, implement, and optimize reinforcement learning pipelines for robotic agents in NVIDIA Omniverse environments.
- Develop physics‑based simulation models and synthetic datasets to train and evaluate AI behaviors.
- Collaborate with robotics and software teams to integrate learned policies into real‑world robotic platforms.
- Analyze performance metrics, troubleshoot simulation discrepancies, and iterate on model architectures.
- Document methodologies, share findings, and contribute to open‑source simulation tools.
Requirements
- Strong background in reinforcement learning and deep learning frameworks (PyTorch/TensorFlow).
- Hands‑on experience with NVIDIA Omniverse or similar simulation platforms.
- Proficiency in Python and experience building synthetic data pipelines.
- Solid understanding of physics‑based simulation and robotics control.
- Excellent problem‑solving skills and ability to work cross‑functionally.
Skills
pythonreinforcement learningmachine learning