AI Infrastructure and Frameworks Intern, Cosmos Lab - 2027
NVIDIA, China, Shanghai
About the job
Join NVIDIA’s Cosmos Lab Infrastructure team to develop training and post-training systems for advanced Physical AI models, including world foundation models and robot policies. Our infrastructure connects training, inference, and evaluation with simulation and real-world robot interaction. You will work with a mentor on a focused project scoped to your experience and internship duration, implementing and evaluating systems improvements on real AI workloads using NVIDIA’s GPU infrastructure.
What you’ll be doing
- Develop and optimize training infrastructure for advanced Physical AI world models, supporting pre-training, supervised fine-tuning (SFT), and reinforcement learning (RL). Explore distributed parallelism, sharding, low-precision training, compute–communication overlap, and numerical consistency and efficient weight synchronization between training and inference.
- Build Physical AI post-training and RL infrastructure supporting advanced training algorithms. Connect simulation or, where applicable, real-robot interaction with experience collection, rollout inference, reward computation, training, and evaluation. Optimize these workflows through partitioning, pipelining, data transfer, and synchronization across synchronous, asynchronous, or disaggregated execution.