AI/HPC Network Performance Engineer

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing use cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads that expects a lossless fabric interconnect. To improve performance of these systems we constantly look for opportunities across our infrastructure stack: network fabric and host networking, comms lib and scheduling infrastructure.