NVIDIA
Senior Solutions Architect - AI Infrastructure
$184K–$356K
US, CA, Santa Clara +2 · Senior · Full-time · Posted Jul 2, 2026
- Location
- US, CA, Santa Clara
US, CA, Remote
US, NY, Remote - Experience
- 8+ years in GPU and HPC cluster design, validation, and issue resolution.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field (or equivalent experience).
About the job
Designs and validates GPU cluster architectures for NVIDIA Cloud Partners, supporting deployments and resolving performance and configuration issues for AI and HPC infrastructure.
What you'll do
- Advise partners on GPU cluster design, networking, and architecture trade-offs.
- Support new-product and network-architecture deployments, including hands-on debugging of design, configuration, and performance issues.
- Relay customer and field feedback to engineering teams.
What they ask for
- 8+ years of experience in GPU and HPC cluster design, validation, and issue resolution.
- Proven expertise designing large-scale distributed systems, AI clusters, or HPC infrastructure.
- Ability to produce customer-ready technical documentation, diagrams, and reference material.
- Ability to drive customer and partner issues to resolution with product and engineering teams.
Nice to have
- Experience leading large-scale AI Factory or HPC cluster builds or bring-ups.
- Hands-on NVIDIA product debugging experience, or knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
GPU, NVLink, NVIDIA Networking, NCCL, MPI, IMEX, NMX
AI focus
Supports design, validation, and deployment of GPU-based AI clusters and infrastructure for distributed training.
Model-written summary · the original posting is authoritative