NVIDIA
Senior Solution Architect, AI Infrastructure
$184K–$356K
US, DC, Remote · Senior · Full-time · Posted Sep 11, 2026
- Experience
- 6+ years in Solution Engineering or similar Sales Engineering or Solution Architecture.
- Education
- BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience.
- Visa sponsorship
- Must be a U.S. Citizen to apply.
About the job
Leads customer-facing design, deployment, and troubleshooting of large-scale GPU infrastructure for public-sector customers.
What you'll do
- Guide customers and partners through data-center GPU server, networking, and cluster deployments, including on-site bring-up.
- Serve as the technical advisor throughout the customer lifecycle, debugging performance issues and discussing roadmaps and solutions.
- Coordinate with customers and NVIDIA teams, deliver technical materials, and provide product and engineering feedback.
What they ask for
- BS/MS/PhD in Electrical Engineering, Computer Science, or equivalent experience.
- 6+ years supporting Solution Engineering or similar Sales Engineering or Solution Architecture, including direct work with partners and customers.
- Experience with high performance Networking or CPU/GPU application acceleration.
- Background with schedulers such as SLURM, LSF, UGE; benchmarking tools such as HPL, NCCL tests, MLPerf; and Kubernetes experience.
Nice to have
- Familiarity with NVIDIA GPUs and networking/systems technologies; experience building or integrating AI solutions and deploying large GPU clusters.
- Experience with MPI; active Security Clearance is highly desirable.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
SLURM, LSF, UGE, HPL, NCCL tests, MLPerf, Kubernetes, MPI
AI focus
Supports public-sector customers adopting AI by designing and deploying GPU infrastructure and applications; experience building or integrating AI solutions is a plus.
Model-written summary · the original posting is authoritative