Drimva

NVIDIA

Senior Scale-Up Network System Architect

$184K–$356K

US, CA, Santa Clara · Senior · Full-time · Posted Oct 4, 2026

Experience
8+ years of industry experience in computer networking, system architecture, or high-performance interconnects.
Education
Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.

About the job

Develops the end-to-end architecture for next-generation NVLink scale-up networks connecting GPUs across racks and supporting large AI training and inference clusters.

What you'll do

  • Define network architecture, including link and switch behavior and rack- and pod-level topology.
  • Translate AI workload needs into networking specifications and evaluate trade-offs using simulation and analytical models.
  • Coordinate with ASIC, firmware, software, and systems teams to validate and implement architecture decisions.

What they ask for

  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • 8+ years of industry experience in computer networking, system architecture, or high-performance interconnects.
  • Strong understanding of network structure and dynamics at scale, including topology, congestion, and failure modes.
  • Experience developing or using simulation/modeling environments to evaluate architecture trade-offs.

Nice to have

  • Direct experience with NVLink, NVSwitch, or comparable scale-up interconnect technologies.
  • Experience with RoCE, memory subsystem architecture, large-scale AI model architectures, or HPC/supercomputing interconnects.

Pay

184,000 USD - 287,500 USD (base salary) for Level 4; 224,000 USD - 356,500 USD (base salary) for Level 5

Tools

NVLink, NVSwitch, RoCE (RDMA over Converged Ethernet), HBM, DDR, LPDDR

AI focus

Architects scale-up networking for AI training and inference clusters; maps workload needs, including LLM and MoE architectures, to network requirements.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)