Senior Network Solution Architect - AI Fabrics

NVIDIA Corporation; Clifton (TX); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Benefits

Remote-friendly

Job summary

NVIDIA Corporation is seeking an experienced Network Solutions Architect Engineer to drive deployment of end-to-end AI networking platforms in customer data centers. You will guide decisions across network, compute, and storage, and support on-site bring-up of servers and clusters for strategic customers.

You will run technical reviews, translate customer requirements into product feedback, and build POCs that demonstrate the value of NVIDIA’s networking stack in real environments.

Qualifications

• 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).
• ~ 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.
• 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: Virtualization / cloud: Familiarity with virtualization, containers, and cloud networking concepts.

Responsibilities

• 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.
• 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 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 in real customer environments.

Skills

Network engineering

Data center / cloud networks

BGP

OSPF

L2/L3 switching

ECMP/Clos topology

CPU/GPU server architecture

NICs/Linux/system software

Python

Bash

C/C++

Education

BS/MS/PhD in Electrical/Computer Engineering or Computer Science

Tools

Linux

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.

Partner with AI-labs 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.

Qualifications

• 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. 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.
• 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: Virtualization / cloud: Familiarity with virtualization, containers, and cloud networking concepts.

We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join your team!

Benefits

• You will also be eligible for equity and benefits.

Application Information

Applications for this job will be accepted at least until October 31, 2026. NVIDIA uses AI tools in its recruiting processes.

Diversity Statement

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.