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SambaNova Systems

Enterprise AI platform with hardware stack

Network Infrastructure Architect

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • 12+ years designing or architecting infrastructure for hyperscale, AI, high-performance computing, 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 quality of service, explicit congestion notification, priority-based flow control, congestion management, buffer tuning, and failure-domain isolation.
  • Strong understanding of spine-leaf architectures and associated technologies, including VXLAN, EVPN, BGP, ECMP, underlay/overlay design, and network automation.
  • Familiarity with high-speed optics and cabling for AI clusters, including 400G/800G transceivers, direct attach copper/active optical cable, fiber topology, and link budgets.
  • Experience translating customer and workload requirements into product requirements, platform roadmaps, and architecture tradeoffs.
  • A vendor-agnostic approach to platform selection and interoperability across switch, network interface card, optical, and fabric ecosystems.
  • Ability to partner across hardware engineering, supply chain, operations, and customer-facing teams to bring platforms from concept through deployment.

Responsibilities

  • Architect network fabrics for hyperscale AI clusters, from RDU-accelerated servers to global-scale deployments.
  • Own fabric, interconnect, and spine-leaf design decisions that shape how compute platforms are built.
  • Partner with hardware engineering, supply chain, and customer-facing teams to translate workload requirements into platform roadmaps.
  • Make vendor-agnostic architecture decisions that avoid lock-in and shape products and deployment of large AI clusters.

Desired Qualifications

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

About the Company

SambaNova Systems

Enterprise AI platform with hardware stack

Generating company summary.

Company size
201-500
Company stage
Series F
Total funding
$2.5B
Headquarters
Palo Alto, CA
Founded
2017

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