NVIDIA
Senior Solutions Architect - AI Infrastructure
$184K–$356K
US, CA, Santa Clara +2 · Senior · Full-time · Posted Jul 5, 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-based AI and HPC cluster architectures for NVIDIA Cloud Partners, supporting deployments, performance, and technical issue resolution.
What you'll do
- Advise partners on GPU cluster design, networking, and architecture trade-offs.
- Support first deployments and NPI launches, including debugging cluster design, configuration, and performance issues.
- Share customer and field feedback with engineering teams.
What they ask for
- BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field (or equivalent experience).
- 8+ years of experience in design, validation, and issue resolution for GPU and HPC clusters.
- Proven expertise designing large-scale distributed systems, AI clusters, or HPC infrastructure.
- Ability to create customer-ready technical documentation and drive 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 distributed-training collectives.
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 and deployment of GPU-based AI clusters and infrastructure for distributed AI workloads.
Model-written summary · the original posting is authoritative