Research Engineer - RL Infrastructure

Job description

Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack: from frontier agentic models to the infrastructure that enables anyone to train, adapt, and deploy them. We unify globally distributed compute into a single control plane and pair it with the full reinforcement learning post-training stack: environments, secure sandboxes, verifiable evaluations, and our async RL trainer. We enable researchers, startups, and enterprises to run end-to-end RL at frontier scale, adapting models to real tools, workflows, and deployment environments. We are looking for a Research Engineer to work on the systems layer behind large-scale RL training. This role is for someone who enjoys going deep on performance: optimizing kernels, improving memory and communication efficiency, scaling distributed workloads, and pushing the throughput and reliability of training systems closer to hardware limits. If you care about making large-scale model training faster, cheaper, and more robust, we’d love to talk. What You’ll Work On: Build and optimize the systems infrastructure behind large-scale RL and distributed training workloads. Improve end-to-end training...