RL Post-Training Infrastructure Architect

NVIDIA is building an RL Frameworks engineering team to develop the open-source tools and infrastructure that AI researchers and post-training teams depend on. The team spans the full software stack, from collaborating closely with researchers to improving runtimes like Ray and Monarch.

You will architect and build RL post-training infrastructure that scales from a single GPU to production across thousands of nodes, tuning loops for performance and reliability across GPUs, CPUs, and LPUs.