Inference Systems Engineer

This role involves building and optimizing the distributed serving and high-performance networking layer for large language models, focusing on the path from model server to GPU fabric. The engineer will design disaggregated LLM serving architectures, optimize multi-node inference across modern GPU systems, and productionize serving on Kubernetes. The position requires close collaboration with Model, Infrastructure, and Application engineering teams to ensure reliable and high-performance systems in production.