Senior RL Post-Training Systems Engineer (Equity)

NVIDIA is seeking a senior engineer to architect and build scalable RL post-training infrastructure across GPUs, CPUs, and LPUs. You will optimize training-inference-rollout loops, contribute to open-source RL frameworks, and partner with cross-functional teams to ensure fault-tolerant, elastic, and fast-restart capabilities for large-scale distributed training environments.

You will collaborate with networking, math library, and compiler teams to prioritize RL workload capabilities and take