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Senior Scale-Up Network System Architect

NVIDIA· Architect
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Santa Clara, CA$184k - $287.5kFull-timePosted 2w ago

About the role

Senior role to design NVLink-based scale-up networking for AI supercomputing platforms, integrating silicon, firmware, software, and topology to create a scalable interconnect for multi-rack AI clusters.

Responsibilities

  • Define end-to-end system architecture for next-generation NVLink scale-up networks, from link and switch behavior through rack- and pod-level topology.
  • Convert AI training and inference workload needs (LLM, MoE, and emerging model architectures) into networking, bandwidth, latency, and resiliency specifications.
  • Drive architecture trade-off studies across performance, cost, power, and reliability, and build models to justify decisions with data.
  • Collaborate across ASIC, firmware, software, and systems teams to ensure architecture decisions are implementable and land accurately in silicon and product.
  • Develop and use simulation and analytical models to validate architecture choices before committing to silicon.
  • Represent system architecture in multi-functional and customer-facing technical discussions, and serve as a technical expert on scale-up network behavior at scale.

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
  • 8+ years of industry experience in computer networking, system architecture, or high-performance interconnects.
  • Strong grasp of network structure and dynamics at scale, including topology, congestion, and failure modes on distributed workload performance.
  • Experience developing or using simulation/modeling environments to evaluate architecture trade-offs.
  • Strong multi-functional collaboration skills — able to drive alignment across hardware, firmware, and software teams without direct authority.
  • Clear technical communication, including the ability to explain complex architecture trade-offs to engineering and non-engineering collaborators.

Skills

Required:Simulation/modeling environments
Nice to have:NVLink/NVSwitch experienceHigh-performance networking transports (RoCE)Memory subsystem architecture (HBM, DDR, LPDDR)

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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