Senior Network Solution Architect – AI Fabrics

NVIDIA • Santa Clara, WA

12d • $184,000 - $356,500 • Remote

About The Position

NVIDIA is seeking an experienced Network Solutions Architect Engineer to help bring next-generation AI networking platforms into production at customer data centers. As part of the NVIDIA SA organization, this role drives deployment and integration of end-to-end technology solutions at strategic technology customers and provides recommendations to business and engineering teams on the product roadmap.

The position partners with AI-lab customers on large data center GPU and networking deployments, guiding architecture across networking, compute, and storage, including fabric design. It supports on-site bring-up of server, network, and cluster infrastructure and demonstrates expertise in advanced GPU and network systems such as Spectrum-X, BlueField DPUs, InfiniBand, and RoCE. The role also conducts technical account reviews, captures customer requirements for product and engineering feedback, analyzes and debugs configuration and performance issues, identifies project opportunities, collaborates with Systems Engineering, Product Management, and Sales, and builds customer-focused proofs of concept.

The role is open to remote work. It makes extensive use of conferencing tools and requires occasional travel (20%) for customer visits and industry events. The salary range is $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. The employee is also eligible for equity and benefits.

Requirements

• BS, MS, PhD in Electrical or Computer Engineering, Computer Science, or another engineering field, or equivalent experience.
• At least 6 years of hands-on network engineering experience in data center or cloud environments.
• Expert-level troubleshooting of data center networks, including packet-level, control-plane, and fabric behavior.
• Deep knowledge of BGP, OSPF, and Layer 2/Layer 3 switching in large-scale data center or cloud networks, including ECMP and Clos/leaf–spine architectures.
• 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 design documents, customer presentations, and root-cause summaries.

Nice To Haves

• Experience with high-density switching at cloud or hyperscale scale.
• Experience with InfiniBand or RoCE.
• Experience with Python, Bash, or C/C++ to automate network workflows, validation, and debugging.
• Hands-on experience with NVIDIA GPUs, NICs, DPUs, or ARM-based CPU platforms.
• Customer-facing experience in pre-sales, post-sales, field engineering, or consulting with external enterprise or cloud customers.
• Direct experience bringing up and operating large clusters or supercomputing environments.
• Familiarity with virtualization, containers, and cloud networking concepts.

Responsibilities

• Partner with AI-lab 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 in advanced GPU and network systems, including Spectrum-X, BlueField DPUs, InfiniBand, and RoCE.
• Run regular technical account reviews covering roadmap alignment, cluster issues, feature discussions, and new technology introductions.
• Capture customer-specific requirements and translate them into 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 project opportunities for NVIDIA GPUs, networking, and software in AI and data center use cases.
• Collaborate with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes.
• Build targeted proofs of concept that demonstrate NVIDIA networking solutions in customer environments.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior