NVIDIA
Senior Solutions Architect, AI Infrastructure
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Oct 27, 2026
- Experience
- 8+ years.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience).
About the job
Designs and validates GPU-based AI and HPC clusters for enterprise customers, supporting deployments, performance, and troubleshooting.
What you'll do
- Design GPU clusters spanning compute, networking, and storage; support end-to-end cluster architecture, modeling, validation, and deployments.
- Work with customers and OEMs on new product deployments and network architectures, including NPI deployments.
- Debug cluster design and configuration issues and provide deployment and performance feedback to product and 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 cluster design, validation, and issue resolution, specifically on GPU and HPC clusters.
- Proven expertise designing large-scale distributed systems, AI clusters, or HPC infrastructure.
- Ability to communicate technical details with technical leaders and customer executives and coordinate across teams.
Nice to have
- Experience leading large-scale AI Factory or HPC cluster bring-ups or builds.
- Hands-on NVIDIA product 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 the design and deployment of AI training and inference clusters and enterprise AI infrastructure.
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