Drimva

NVIDIA

Senior Network Solution Architect – AI Fabrics

$184K–$356K

US, CA, Santa Clara +4 · Senior · Full-time · Posted Oct 27, 2026

Location
US, CA, Santa Clara
US, TX, Remote
US, CO, Remote
US, WA, Remote
US, CA, Remote
Experience
6+ years of hands-on network engineering experience in data center or cloud environments.
Education
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience.

About the job

Deploy NVIDIA AI networking solutions at customer data centers, advising on architecture, supporting cluster bring-up, troubleshooting performance, and relaying customer needs to product and engineering teams.

What you'll do

  • Guide customer architecture and support on-site deployment of GPU, network, storage, and cluster infrastructure.
  • Troubleshoot RoCE and InfiniBand configuration and performance issues across NICs, switches, Linux, and system software.
  • Build customer POCs and coordinate with engineering, product management, and sales on solutions and customer feedback.

What they ask for

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or another Engineering field, or equivalent experience.
  • 6+ years of hands-on network engineering experience in data center or cloud environments.
  • Expert-level troubleshooting of data center networks and deep knowledge of BGP, OSPF, and L2/L3 switching in large-scale networks.
  • Solid understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.

Nice to have

  • Experience with high-density switching at cloud or hyperscale; InfiniBand or RoCE experience is a major plus.
  • Experience with Python, Bash, or C/C++; NVIDIA platforms; customer-facing work; large-scale deployments; or virtualization and cloud networking.

Pay

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

Tools

Spectrum-X, BlueField DPU, InfiniBand, RoCE, BGP, OSPF, Linux, Python

AI focus

Deploy and demonstrate AI networking platforms and GPU cluster solutions in customer data centers.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)