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NVIDIA

Senior Solutions Architect, Networking - Hyperscale

NVIDIA
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senior full-time Santa Clara, CA

First indexed 17 Jul 2026

Description

We are seeking driven, high-energy, networking engineers to join the Solutions Architecture team in building the world’s largest and fastest AI/HPC systems using NVIDIA Networking.

Responsibilities:

  • Introduce and integrate NVIDIA networking products with Hyperscalers
  • Build customers’ trust and understand their unique needs
  • Address sophisticated and obvious customer issues alongside engineering and support teams
  • Conduct technical meetings for project/product details, feature discussions, and debugging sessions
  • Partner with Sales and Product teams to identify and secure business opportunities, analyze network requirements, and designs next-gen AI platforms
  • Develop Proof of Concept (PoC) solutions for critical business needs
  • Prepare and deliver technical presentations and workshops to customers

Requirements:

  • Bachelor’s degree or higher in Electrical/Computer Engineering or related field (or equivalent experience)
  • 12+ years of Solutions Engineering or similar engineering experience
  • Passion to enhance customer experience
  • Proficiency in networking fundamentals, including NICs, server systems, data center architecture, switching, routing, networking protocols, and data center architecture
  • Comprehensive knowledge of computer system architecture, Linux, PCIe devices as it relates to networking performance
  • Experience in configuring, testing, and troubleshooting in networking environments
  • Ability to work independently and manage multiple priorities
  • Excellent communication skills to act as a trusted advisor to customers

Preferred Qualifications:

  • Experience working with custom network OS (such as SONiC, FBOSS, or similar)
  • Experience working with or calling on Cloud Service Providers (e.g., Meta)
  • Exemplify a unique combination of strong interpersonal skills and technical proficiency
  • Showcase in-depth knowledge of RDMA, including performance testing and AI benchmarking
  • Background with NVIDIA hardware and software