NVIDIA
Senior Solutions Architect, Ethernet Networking
$184K–$356K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Sep 4, 2026
- Location
- US, CA, Santa Clara
US, Remote - Experience
- 8+ years in networking and hands-on routing; 5+ years in Linux administration; 6+ years in client network analysis, architecture design, and simulation validation. Datacenter engineering, CLOS networking architecture, or cloud applications: 4+ years advantageous.
- Education
- Bachelor’s degree in engineering, Computer Science, Mathematics, or Physics, or equivalent experience.
About the job
Designs, validates, and deploys Ethernet data center networks and AI networking solutions for customers under NVIDIA’s Plan, Design, & Implement framework.
What you'll do
- Provide Ethernet and routing expertise to design, architect, test, and implement customer networks and AI solutions.
- Develop network architectures, switch fabric configurations, and DevOps automation scripts; validate network performance and configurations.
- Gather customer requirements and create deployment documents, methods of procedure, and recommendations for marketing and engineering teams.
What they ask for
- Bachelor’s degree in engineering, Computer Science, Mathematics, or Physics, or equivalent experience.
- 8+ years of networking fundamentals, switching, routing, TCP/IP, and data center architecture; includes 8+ years of hands-on routing experience with BGP, VxLAN, and EVPN.
- 5+ years of Linux administration expertise.
- 6+ years of client network requirement analysis, data center network architecture design, and validation through simulations.
Nice to have
- Background in datacenter engineering, CLOS networking architecture, or cloud applications (4+ years).
- Familiarity with networking digital simulations, including NVIDIA Air, GNS3, or EVE-NG.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
Ethernet, BGP, VxLAN, EVPN, TCP/IP, Linux, NVIDIA Air, GNS3
AI focus
Designs and validates Ethernet networking solutions for AI workloads and GPU-enabled applications; experience with AI tools to improve work quality and meet project deadlines is requested.
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