Senior Network Solution Architect - AI Fabrics

NVIDIA Corporation; Central City (CO); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity program

Benefits package

Job summary

NVIDIA Corporation is seeking an experienced Network Solutions Architect Engineer to drive deployment of AI networking platforms at customer data centers. You will guide architecture decisions across network, compute, and storage, and build POCs to demonstrate value of Spectrum-X, InfiniBand, and DPUs.

Travel up to 20% and remote work options are available. You will collaborate with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes and provide technical

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.

Responsibilities

• 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) for key accounts.
• Analyze and debug configuration and performance issues in RoCE and InfiniBand environments.

Skills

Network design

BGP/OSPF/ECMP

Troubleshooting

Python/Bash/C/C++

Linux systems

Strong communication

Pre-sales experience

NVIDIA platform experience

Education

BS/MS/PhD in EE/CS or equivalent

Tools

Linux

Python

Bash

C/C++

InfiniBand

RoCE

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.