Systems Engineer

Prime Intellect is seeking a Systems Engineer to build and optimize infrastructure for large-scale reinforcement learning and distributed training workloads. The role involves improving end-to-end training efficiency, designing low-level performance optimizations, and collaborating with researchers to translate bottlenecks into concrete systems improvements. This position focuses on shaping the architecture of the RL training stack and contributing to open-source libraries for frontier-scale model training.