Senior Network Solution Architect - AI Fabrics

NVIDIA Corporation; Colorado Springs (CO); Remote; USD 140,000 - 210,000; Full time

Job summary

NVIDIA Corporation is seeking an experienced Network Solutions Architect Engineer to drive deployment of AI networking platforms in customer data centers.

You will partner with AI-labs to design fabric, RoCE/InfiniBand configurations, and troubleshoot at scale, including on-site bring-up and POC builds.

The role requires strong communication, multi-project handling, and travel up to 20%; remote work is considered.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or equivalent.
• 6+ years hands-on network engineering in data center or cloud environments.
• Expert troubleshooting of data center networks (packet-level, control plane, fabric).
• BGP/OSPF and L2/L3 switching knowledge in large-scale networks (ECMP, Clos).
• Experience with high-density switching in cloud or hyperscale environments.
• Solid understanding of CPU/GPU server architecture, NICs, Linux, and kernel drivers.
• Strong time management and ability to context-switch across multiple customers/projects.
• Excellent written and verbal communication; design docs and customer presentations.

Responsibilities

• Assist deployment of NVIDIA AI networking platforms in customer data centers.
• Partner with AI-labs customers on large GPU and networking deployments.
• Guide architecture decisions across network, compute, and storage fabrics.
• Support on-site bring-up of server, network, and cluster infrastructure.
• Capture customer requirements and translate into product feedback.
• Analyze and debug RoCE/InfiniBand configurations.
• Build targeted POCs to showcase NVIDIA networking stack in real environments.
• Travel up to 20% for on-site visits and industry events.

Skills

Network engineering

Data center networking

BGP/OSPF

L2/L3 switching

Troubleshooting

CPU/GPU server architecture

Linux

Scripting (Python/Bash/C/C++)

Communication

Customer-facing

Virtualization/Cloud

Education

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

Tools

Linux kernel drivers

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.

• 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 our team! If you're creative and autonomous, we want to hear from you!

• You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 31, 2026.

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.