Network Infrastructure Architect

<div class="content-intro"><p style="text-align: left;"><span style="font-size: 12pt;">SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.</span></p></div><h3><strong>About the role</strong></h3> <p class="font-claude-response-body break-words whitespace-normal">SambaNova is accelerating from rack-scale to global-scale AI compute clusters. We're looking for a Network Architect join us on this exciting new chapter and own this critical layer end to end.</p> <h3><strong>Responsibilities</strong></h3> <div data-find-provider-scope=""> <div data-sizer-excess="0" data-rocksteady-sizer=""> <div data-rs-index="210" data-index="210" data-last-message="true"> <div> <div data-test-render-count="1"> <div class="group group/message-row"> <div class="group relative relative pb-[var(--msg-assistant-pb,0.75rem)]" data-is-streaming="false"> <div class="font-claude-response relative leading-[1.65rem] [&_pre>div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> <div> <div class="grid grid-rows-[auto_auto] min-w-0"> <div class="row-start-2 col-start-1 relative grid grid-rows-[auto_auto] isolate min-w-0"> <div class="row-start-1 col-start-1 relative z-[2] min-w-0"> <div> <div> <div class="standard-markdown grid-cols-1 grid [&_>_*]:min-w-0 gap-3 [&_>_*:last-child]:mb-0 print:block print:[&_>_*_+_*]:mt-3 standard-markdown"> <p class="font-claude-response-body break-words whitespace-normal">In this role, you'll be architecting the network fabrics that power hyperscale AI clusters, from RDU-accelerated servers to global-scale deployments, owning the fabric, interconnect, and spine-leaf design decisions that shape how our compute platforms are built. You'll partner closely with hardware engineering, supply chain, and customer-facing teams to translate workload requirements into platform roadmaps, taking a vendor-agnostic approach that avoids lock-in. Your architecture decisions will directly shape the products we ship and how fast the world's largest AI clusters come online.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <h3><strong>Required Qualifications</strong></h3> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1"> <li class="font-claude-response-body whitespace-normal break-words pl-2">12+ years designing or architecting infrastructure for hyperscale, AI, HPC, or large-scale data center environments</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Deep working knowledge of AI cluster networking, including InfiniBand, RoCEv2, Ethernet-based AI fabrics, 400G/800G interconnects, and GPU-to-GPU east-west traffic patterns</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Experience with lossless Ethernet designs, including QoS, ECN, PFC, congestion management, buffer tuning, and failure-domain isolation</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Strong understanding of spine-leaf architectures and associated technologies (VXLAN, EVPN, BGP, ECMP, underlay/overlay design, network automation)</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Familiarity with high-speed optics and cabling for AI clusters, including 400G/800G transceivers, DAC/AOC, fiber topology, and link budgets</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Experience translating customer and workload requirements into product requirements, platform roadmaps, and architecture tradeoffs</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Vendor-agnostic approach to platform selection and interoperability across switch, NIC, optical, and fabric ecosystems</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Ability to partner across hardware engineering, supply chain, operations, and customer-facing teams to bring platforms from concept through deployment</li> </ul> <h3><strong>Preferred Qualifications</strong></h3> <ul class="[li_&]:mb-0 [li_&]:mt-1 [li_&]:gap-1 [&:not(:last-child)_ul]:pb-1 [&:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Experience with AI compute platforms: GPU/accelerator systems, rack-scale compute, NVLink/NVSwitch-class fabrics, PCIe/CXL, DPUs/IPUs</li> <li class="font-claude-response-body whi