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Principal Architect, AI Networking

An applied research team within NVIDIA’s Networking Systems & Software Architecture group is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at th

In inglese

Company

NVIDIA

Location

US, CA, Santa Clara; US, TX, Austin; US, TX, Remote; US, CO, Remote; US, OR, Remote

Status

Open

Posted

2026-04-23T00:00:00+00:00

NVIDIA's Networking Systems & Software Architecture group seeks a principal architect to set the research and architectural direction for how its AI systems communicate at scale: GPU-to-GPU, GPU-to-storage and cross-node data movement. Work spans RDMA, NVLink and GPUDirect prototyping, hardware-software co-optimization with GPU, DPU, NIC and switch teams, and integration with serving stacks such as vLLM, SGLang and TensorRT-LLM. The posting asks for 15+ years in systems software or networking and a record of cross-team delivery; publishing, standards work and an expanding charter in quantum interconnects mark it out.