Senior RDMA Research Architect

NVIDIA is building the world’s most sophisticated AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence.

We are seeking a senior researcher to join us to explore new ideas at the intersection of RDMA, transport, algorithms, hardware and software, shaping the networking technologies behind the next generation of AI! We’re excited to learn from your perspective and work together to turn research into improvements that matter.

In this role, you will join a group of researchers advancing innovation with deep technical knowledge, analysis, and comprehensive systems thinking. You will collaborate and learn with top architects and researchers responsible for some of NVIDIA’s most advanced networking technologies. Our insights directly affect NVIDIA's develop of products, from micro-architectural choices to applications and software libraries. This role suits researchers who can progress from identifying an application-level bottleneck, through transport and algorithm design, down to NIC microarchitecture and then confirm if the proposed solution delivers measurable system-level value.

What You’ll Be Doing

• Conduct innovative research and analysis for the RDMA NIC & Transport Research group. Your research insights will build NVIDIA solutions and help drive innovation across the entire stack:
• Develop deep expertise across NVIDIA’s RDMA and transport architecture.
• Identify architectural gaps, opportunities, and competitive advantages.
• Form research hypotheses and rigorously validate them through modeling/simulation/experimentation.
• Translate findings into product proposals.
  
  

• B.Sc. or M.Sc. in Electrical Engineering, Computer Science, Computer Engineering.
• 4+ years of relevant experience
• Demonstrated experience bridging across fields and contributing verifiable system-wide improvements.
• A track record handling engineering trade-offs across product research and time-to-market.
• Experience in programming and debugging within a production-scale software environment.
• Excellent interpersonal skills, with the ability to present sophisticated technical findings clearly to domain experts and non-experts.
  
  

• Deep expertise in one or more networking domains, such as RDMA transport protocols, congestion control, multipath/load-balancing algorithms, NIC microarchitecture, collective communication and NCCL, rank placement, network topology, or AI training/inference communication.
• PhD or equivalent experience in engineering, or a proven history of significant research work.
• A drive for impact.