Design and optimize distributed training infrastructure for frontier AI models, working with GPU parallelism, NCCL, RDMA, FSDP/ZeRO, Ray, Kubernetes, Slurm, PyTorch, JAX, Megatron, Triton, and large-scale data pipelines. This team builds the engineering foundation for RL training loops, distributed systems, and experiment reproducibility.