NVIDIA
Senior Solutions Architect - Data Center Infrastructure
$184K–$356K
US, CA, Santa Clara +2 · Senior · Full-time · Posted Oct 27, 2026
- Location
- US, CA, Santa Clara
US, TX, Remote
US, WA, Seattle - Experience
- 8+ years of work-related experience in the high-tech electronics industry.
- Education
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
About the job
Architect and deploy NVIDIA AI data center infrastructure at hyperscaler scale, serving as the technical bridge between customers and engineering, product, and sales teams.
What you'll do
- Design and scale distributed AI infrastructure on-premises or in the cloud; develop demos and example system designs.
- Support sales and customers with GPU and networking products, troubleshooting hardware and software issues, and resolving deployment roadblocks.
- Build customer relationships, identify architecture and product requirements, and train sales teams and channel partners.
What they ask for
- 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles.
- Technical ability to analyze logs and deployment data and guide customers through technical issue resolution.
- Expert analytical and problem-solving abilities.
- Excellent written and oral communication skills in English and ability to collaborate with management and engineering teams.
Nice to have
- Experience in a Hyperscaler or Cloud Service Provider (CSP) environment, or extensive strategic-partner engagement with them.
- Hands-on NVIDIA hardware and software library experience, including performance tuning and error diagnostics; or knowledge of NVIDIA systems technology such as NCCL, DCGM, and UFM.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
NVIDIA GPU supercomputers, ARM CPU, H100, GB200, NCCL, DCGM, UFM, Embedded Linux Systems
AI focus
Architect and scale distributed AI infrastructure; support deep learning inference deployments.
Model-written summary · the original posting is authoritative