Description
Meta is seeking a Principal Network Engineer to design, develop, test, operate, and optimize large-scale AI training and inference network infrastructure. The role focuses on RDMA fabric interconnects, GPU networking, network automation, monitoring, auto-remediation, and architecture guidance for scalable training workloads. It requires a bachelor's degree in a relevant technical field, at least 8 years of experience in system or network infrastructure engineering within large-scale distributed computing or HPC environments, and experience with Python, C++, Go, datacenter networks, and software-defined networking.
