NVIDIA
AI
SeniorNetworkSolutionArchitect–AIFabrics
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optimal for Senior candidates.
“Senior Network Solution Architect – AI Fabrics at NVIDIA. Skills: Network Solution Architecture, AI Fabrics, Data Center Networking, GPU Networking, InfiniBand/RoCE, BGP/OSPF, Large-scale Data Center Switching. 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”
What You'll Achieve.
bring our next-generation AI networking platforms into production at customer data centers; driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers; deliver performant, reliable AI clusters
Industry & Context.
Analyze and debug configuration and performance issues in RoCE and InfiniBand environments; Proven, expert-level troubleshooting of data center networks (packet-level, control plane, and fabric behavior)
occasional (20%) travel is required for on-site visit to customers and industry events
What They're Looking For.
Must Have
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), Solid understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers, time management and ability to context-switch across multiple customers and projects
Nice to Have
Experience with high-density switching at cloud or hyperscale is strongly preferred, Experience with InfiniBand or RoCE is a major plus, Advanced certifications: CCIE, JNCIE, or equivalent expert-level certifications, Experience in Python, Bash, or C/C++ for automating network workflows, validation, and debug, 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, Direct experience bringing up and operating large clusters or supercomputing environments, Familiarity with virtualization, containers, and cloud networking concepts
What You'll Do.
Partner with AI-native / consumer internet customers on large data center GPU and networking deployments
Guide architecture decisions across network
including fabric design
Support on-site bring-up of server
and cluster infrastructure in customer data centers
Demonstrate expertise on advanced GPU and network systems for key accounts
Run regular technical account reviews covering roadmap alignment
and new technology introductions
Capture customer-specific requirements and translate them into concrete feedback for product
and engineering teams
Analyze and debug configuration and performance issues in RoCE and InfiniBand environments
and system software to deliver performant
Identify and shape new project opportunities for NVIDIA GPUs
and software in AI and data center use cases
Collaborate closely with Systems Engineering
and Sales to align solutions with customer outcomes
Build targeted POCs that showcase the value of NVIDIA’s networking stack in real customer environments
How You'll Work.
Team & Collaboration
Collaborate closely with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes; Translate customer-specific requirements into concrete feedback for product, architecture, and engineering teams
Communication Scope
Excellent written and verbal communication; clear design docs; customer presentations; root-cause summaries
Process & Methodology
context-switch across multiple customers and projects
Full Job Description
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. Do you want to be part of a team that brings new AI hardware and software technologies to production in 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. **What you will be doing:** * 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. **What we need to see:** * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or
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