
Senior Software Engineer, RL Post-Training Frameworks
Build and optimize RL post-training infrastructure that scales from single-GPU experiments to production across thousands of nodes. Work includes tuning training-inference-rollout loops on GPUs/CPUs/LPUs, contributing to open-source RL frameworks (e.g., VeRL, Miles, TorchTitan), ensuring fault tolerance and elastic scaling, and collaborating with cross-functional teams on networking, libraries, and hardware integration.



