Senior Network Solution Architect – AI Fabrics

NVIDIA • Santa Clara, WA

17h • Remote

About The Position

NVIDIA is looking for an experienced Network Solutions Architect Engineer to help bring our next-generation AI networking platforms into production at customer data centers. As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap.

Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience.
• 6+ years of hands-on network engineering experience in data center or cloud environments.
• Proven, expert-level troubleshooting of data center networks (packet-level, control plane, and fabric behavior).
• Deep protocol knowledge of BGP, OSPF, and L2/L3 switching in large-scale data center or cloud networks (ECMP, Clos/leaf–spine).
• Experience with high-density switching at cloud or hyperscale is strongly preferred.
• Experience with InfiniBand or RoCE is a major plus.
• Solid understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers
• Strong time management and ability to context-switch across multiple customers and projects.
• Excellent written and verbal communication, including clear design docs, customer presentations, and root-cause summaries.

Nice To Haves

• Advanced certifications: CCIE, JNCIE, or equivalent expert-level certifications.
• Automation & tooling: Experience in Python, Bash, or C/C++ for automating network workflows, validation, and debug.
• NVIDIA platform experience: Hands-on work with NVIDIA GPUs, NICs, DPUs, or ARM-based CPU platforms.
• Customer-facing background: Pre-sales, post-sales, field engineering, or consulting experience with external enterprise or cloud customers.
• Large-scale deployments: Direct experience bringing up and operating large clusters or supercomputing environments.
• Virtualization / cloud: Familiarity with virtualization, containers, and cloud networking concepts.

Responsibilities

• Partner with AI-native / consumer internet customers on large data center GPU and networking deployments.
• Guide architecture decisions across network, compute, and storage, including fabric design.
• Support on-site bring-up of server, network, and cluster infrastructure in customer data centers.
• Demonstrate expertise on advanced GPU and network systems (Spectrum-X, BlueField DPU, InfiniBand/RoCE, etc.) for key accounts.
• Run regular technical account reviews covering roadmap alignment, cluster issues, feature discussions, and new technology introductions.
• Capture customer-specific requirements and translate them into concrete feedback for product, architecture, and engineering teams.
• Analyze and debug configuration and performance issues in RoCE and InfiniBand environments.
• Work across NICs, switches, Linux, and system software to deliver performant, reliable AI clusters.
• Identify and shape new project opportunities for NVIDIA GPUs, networking, and software in AI and data center use cases.
• Collaborate closely with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes.
• Build targeted POCs that showcase the value of NVIDIA’s networking stack (e.g., Spectrum-X fabrics, BlueField DPUs) in real customer environments.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree