Senior Network Solution Architect – AI Fabrics

Description

The company is bringing its next-generation AI networking platforms into production in customer data centers. The role is part of the solutions architecture group, driving end-to-end deployment work at some of the company's most strategic technology customers and feeding recommendations on the product roadmap back to business and engineering teams.

The job title is Senior Network Solution Architect, AI Fabrics in the posting, and the posting calls the role a Network Solutions Architect Engineer.

Responsibilities

• Work with AI lab customers on large GPU and networking deployments in their data centers, guiding decisions on network, compute, and storage architecture, including fabric design.
• Support on-site bring-up of server, network, and cluster infrastructure in customer data centers.
• Show deep working knowledge of advanced GPU and network systems, including Spectrum-X, BlueField DPU, and InfiniBand or RoCE, for key accounts.
• Run regular technical account reviews covering roadmap fit, cluster problems, feature requests, and introductions of new technology.
• Turn customer requirements into clear feedback for product, architecture, and engineering teams.
• Analyze and debug configuration and performance problems in RoCE and InfiniBand environments, working across NICs, switches, Linux, and system software to keep AI clusters fast and reliable.
• Find and shape new project opportunities for GPUs, networking, and software in AI and data center use cases.
• Work closely with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes.
• Build targeted proofs of concept that demonstrate the value of the company's networking stack, such as Spectrum-X fabrics and BlueField DPUs, in real customer environments.

Requirements

• Hold a BS, MS, or PhD in Electrical or Computer Engineering, Computer Science, or another engineering field, or have equivalent experience.
• Have 6+ years of hands-on network engineering experience in data center or cloud environments.
• Have expert-level, proven experience troubleshooting data center networks at the packet level, in the control plane, and in fabric behavior.
• Have deep knowledge of BGP, OSPF, and L2/L3 switching in large-scale data center or cloud networks, including ECMP and Clos or leaf-spine designs.
• Have a solid understanding of CPU and GPU server architecture, NICs, Linux, system software, and kernel drivers.
• Manage your time well and switch context smoothly across multiple customers and projects.
• Communicate clearly in writing and speaking, including design docs, customer presentations, and root-cause summaries.
• Preferred: experience with high-density switching at cloud or hyperscale.
• Preferred: experience with InfiniBand or RoCE, which is a major plus.
• Preferred: experience in Python, Bash, or C/C++ for automating network workflows, validation, and debugging.
• Preferred: hands-on work with the company GPUs, NICs, DPUs, or ARM-based CPU platforms.
• Preferred: pre-sales, post-sales, field engineering, or consulting experience with external enterprise or cloud customers.
• Preferred: direct experience bringing up and operating large clusters or supercomputing environments.
• Preferred: familiarity with virtualization, containers, and cloud networking concepts.

Conditions

Most work happens over conferencing tools, but you will need to travel about 20% of the time for customer site visits and industry events.

Remote work location is available.

Base salary depends on location, experience, and pay of employees in similar positions: 184,000 USD to 287,500 USD for Level 4, and 224,000 USD to 356,500 USD for Level 5.

Applications are accepted at least until October 31, 2026. This is an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on protected characteristics.