Drimva

NVIDIA

Senior Solutions Architect, NVIDIA Cloud Partners

$184K–$356K

US, CA, Santa Clara · Senior · Full-time · Posted Oct 26, 2026

Experience
8+ years of Solution Engineering or similar Sales Engineering or Cloud Engineering experience.
Education
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.

About the job

Supports NVIDIA Cloud Partners and customers in designing, deploying, and operating large-scale GPU infrastructure for AI and HPC, while driving technical engagements and solution integration.

What you'll do

  • Create, implement, and operationalize NVIDIA hardware and software solutions with cloud partners; provide technical support throughout the customer lifecycle.
  • Build proof-of-concept networking and compute infrastructure, and analyze solutions to performance and scaling issues.
  • Lead customer meetings and deliver technical presentations and workshops; collaborate with sales and business leads on opportunities.

What they ask for

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field, or equivalent experience.
  • 8+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.
  • Experience crafting and deploying large-scale cluster environments.
  • Practical expertise in data center design, development and execution for AI and HPC.

Nice to have

  • Practical familiarity with NVIDIA hardware and systems technology, including GPUs, NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
  • Background with at-scale GPU systems, performance testing, AI benchmarking, or cluster administration and coordination (SLURM, K8s).

Pay

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

Tools

NVIDIA GPUs, ETH/IB networking components, NCCL, DCGM, UFM, Mission Control, Base Command Manager, SLURM

AI focus

Supports deployment of large-scale AI and HPC GPU infrastructure and builds customer solutions for AI workloads.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)