Senior Solutions Architect, Networking Hyperscale

We are seeking driven, high-energy, networking engineers to join the Solutions Architecture team, helping Cloud Service Providers design, validate, and deploy world-leading networking solutions using NVIDIA NICs and DPUs. You’ll bridge customer needs with advanced product execution, collaborating across engineering, sales, and product teams. Come join us!

What You’ll Be Doing

• Introduce, qualify and integrate NVIDIA NIC and DPU products with Hyperscalers,
• Address sophisticated and obvious customer issues
• Build customer trust and understand their unique networking requirements
• Run technical meetings: project reviews, feature discussions, debugging sessions and workshops
• Optimize host networking and performance; analyze bottlenecks (CPU, PCIe, memory, NUMA).
• Develop PoC solutions for critical business needs
• Partner with Sales/Product teams to identify and secure business opportunities, analyze network requirements, and designs data center platforms
  
  

• Bachelor’s degree or higher in Electrical/Computer Engineering or related field (or equivalent experience)
• 5+ years of Solutions Engineering or similar role
• Passion for enhancing customer experience
• Hands-on experience with NIC hardware/software stacks; configuring, testing, and troubleshooting in networking environments and server architecture
• Proficiency in networking fundamentals: NICs, switching, networking protocols in modern data center
• Comprehensive knowledge of computer system architecture, Linux, PCIe devices, management protocols as it relates to networking
• Ability to work independently and manage priorities as well as an excellent communication skills to act as a trusted advisor
  
  

• Exhibit practical experience with NICs, DPUs and Ethernet switches
• Knowledge of system and board-level design trade-offs for high-performance NIC integration (thermal, power, signal integrity, BMC, BIOS integration)."
• Experience working with Cloud Service Providers (e.g., Meta)
• Showcase in-depth knowledge of RDMA, Collectives and AI benchmarking
• Background with NVIDIA hardware/software