Network Infrastructure Architect
SambaNova · San Jose, California, United States · San Jose, CA
CHECKED 11H AGO
Infrastructureonsite$250k–$330k
At a glance
Highlights
- Architect network fabrics powering hyperscale AI clusters end to end.
- Own fabric decisions shaping how global-scale AI platforms are built.
- Translate workload needs into platform roadmaps for next-gen AI.
What they offer
- Equity
- 95% employee medical premium coverage
- 77% dependent medical coverage
- HSA with employer contribution
- Dental and vision coverage
- Disability, life and AD&D insurance
- FSA options
- Headspace subscription
- Gympass+ membership
- One Medical membership
- Employee Assistance Program
Ideal candidate
Veteran infrastructure architect who thrives owning complex systems end to end and partnering across hardware and customer teams to turn workload needs into scalable platforms.
Requirements
- 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
Lab profile
About SambaNova
Full-stack AI infrastructure with RDU dataflow chips for fast agentic inference.
What they build
- RDU Reconfigurable Dataflow Unit
- SambaRack rack-scale hardware
- Full-stack AI inference platform
Known for
- Reconfigurable dataflow architecture alternative to GPUs
- High decode performance for agentic workloads
- Full-stack hardware-software co-design
Key facts
- Founded in 2017
- Headquartered in Palo Alto, California