What we need to see: BSc/MSc/PhD in Computer Science or Electrical Engineering 5+ years of relevant experience and/or knowledge Deep understanding of networking and communication internals — NCCL, RDMA/RoCE, congestion control. Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers). Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed). Ways to stand out from the crowd: Demonstrated innovation and leadership turning prototypes into impactful product features. Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs). Familiarity with NIC firmware scheduling, in-network compute, or congestion management. Contributions to open-source projects, academic papers, or performance benchmarking tools. Strong background in AI factory architectures, distributed inference, or network telemetry. NVIDIA is known as one of the most sought-after employers globally. You’ll be part of a high-impact team that develops technologies shaping the future of AI networking and distributed computing. If you’re enthusiastic about crafting the future — we look forward to hearing from you!
