Senior Networking Hardware & Supply Chain Manager

Fluidstack; Seattle (WA); On-site; USD 155,000 - 199,000; Full time

Job summary

Fluidstack is seeking a strategic sourcing lead for the networking hardware category. You will own switches, routers, and DPUs for fabrics connecting 100k+ accelerator clusters and negotiate supply agreements with major OEMs to secure price, lead times, and roadmap access.

You will dual-source critical platforms, manage qualification burdens, and align buy plans with network engineering roadmaps so hardware generations land when designs need them, enabling faster builds in a high‑intensity AI

Qualifications

• You've sourced networking hardware at scale from major OEMs.
• You've handled end-of-life and generation transitions without stranding inventory or stalling builds.
• You understand optics, ASICs, and port speeds to negotiate credibly with product teams.
• You keep firmware, licensing, and support terms from becoming the expensive surprise later.

Responsibilities

• Own the networking hardware category: switches, routers, and DPUs for fabrics connecting 100k+ accelerator clusters.
• Negotiate supply agreements with networking OEMs covering price, lead time, and roadmap access.
• Dual-source critical switch platforms and manage the qualification burden that dual-sourcing creates.
• Align buy plans with network engineering roadmaps so hardware generations land when designs need them, not after.

Skills

Sourced networking hardware

End-of-life management

Tech negotiation

Firmware licensing

Job description

Fluidstack is seeking a strategic sourcing lead for the networking hardware category. You will own switches, routers, and DPUs for fabrics connecting 100k+ accelerator clusters and negotiate supply agreements with major OEMs to secure price, lead times, and roadmap access.

You will dual-source critical platforms, manage qualification burdens, and align buy plans with network engineering roadmaps so hardware generations land when designs need them, enabling faster builds in a high‑intensity AI