Network Infrastructure Architect

Network Infrastructure Architect

San Jose, California, United States

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

About the Role

SambaNova is accelerating from rack-scale to global-scale AI compute clusters. We're looking for a Network Architect to join us on this exciting new chapter and own this critical layer end to end.

Responsibilities

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.

Required Qualifications

• 12+ years designing or architecting infrastructure for hyperscale, AI, HPC, or large-scale data center environments
• 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
• Experience with lossless Ethernet designs, including QoS, ECN, PFC, congestion management, buffer tuning, and failure-domain isolation
• Strong understanding of spine-leaf architectures and associated technologies (VXLAN, EVPN, BGP, ECMP, underlay/overlay design, network automation)
• Familiarity with high-speed optics and cabling for AI clusters, including 400G/800G transceivers, DAC/AOC, fiber topology, and link budgets
• Experience translating customer and workload requirements into product requirements, platform roadmaps, and architecture tradeoffs
• Vendor-agnostic approach to platform selection and interoperability across switch, NIC, optical, and fabric ecosystems
• Ability to partner across hardware engineering, supply chain, operations, and customer-facing teams to bring platforms from concept through deployment

Preferred Qualifications

• Experience with AI compute platforms: GPU/accelerator systems, rack-scale compute, NVLink/NVSwitch-class fabrics, PCIe/CXL, DPUs/IPUs
• Understanding of rack-level power, thermal, mechanical, and serviceability requirements, and how network choices drive them (NIC selection, cabling density, PCIe lane allocation)
• Background in large-scale fleet operations: lifecycle management, reliability, observability, telemetry, field issue resolution

Base Salary Range:

Base Pay Range $250,000 - $330,000 USD

Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.

EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.