Senior Network Solution Architect – AI Fabrics

NVIDIA • Santa Clara, CA

11d • Remote

About The Position

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

The position partners with AI-lab customers on large GPU and networking deployments, supports infrastructure bring-up, and helps deliver performant, reliable AI clusters. It also works across NVIDIA teams and customer organizations to align technical solutions with customer outcomes. The role is open to remote work and requires occasional travel (approximately 20%) for customer visits and industry events.

Requirements

• Bachelor’s, master’s, or Ph.D. in Electrical Engineering, 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 experience with 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 skills, including preparing 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 using 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 DPU, InfiniBand, and RoCE, 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 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 the value of NVIDIA networking technologies in real customer environments.

Benefits

• Equity
• Benefits

What This Job Offers

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