Staff Network Engineer, Deployment

Fluidstack; San Francisco (CA); On-site; USD 186,000 - 220,000; Full time

Job summary

Fluidstack is seeking a senior network deployment engineer to own site‑level turn‑up, automation, and fault resolution across fabric deployments in our California data centers. You will design playbooks, implement ZTP flows, and drive reliability at scale.

The role emphasizes fast iteration, end‑to‑end ownership, and close collaboration with hardware and software teams. If you have led large deployments, built scalable automation, and understand InfiniBand or RoCE, this is for you.

Qualifications

• Senior technical hand on large network deployments.
• Built ZTP and validation automation at scale.
• Debugs link and fabric issues from optics to routing.
• Led deployments finished clean with no punch list of mystery links.
• Bonus: InfiniBand and RoCE; Python or Go automation.

Responsibilities

• Own technical execution of network deployment across sites.
• Set the technical playbook for fabric tooling and validation.
• Handle escalations on training links and fabric convergence.
• Automate turn-up to convert repetitive tasks into tooling.

Skills

Senior network deployments

ZTP automation

Link and fabric debugging

Python or Go automation

Tools

ZTP

Validation automation

InfiniBand

RoCE

Python

Go

Job description

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization‑scale infrastructure for AI.

We hire people who care deeply about this problem space. If that is you, please apply!

How We Operate

• Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
• Velocity. We drive everything forward as fast as possible.
• First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
• Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

Role Scope

• Own technical execution of network deployment: the standards, tooling, and hardest problems across every site turn‑up.
• Set the technical playbook: ZTP flows, validation suites, and acceptance criteria per fabric.
• Take the escalations nobody else can close: the link that won't train, the fabric that won't converge.
• Automate the turn‑up: anything done twice by hand becomes tooling.

What We're Looking For

• The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
• You've been the senior technical hand on large network deployments.
• You've built ZTP and validation automation that ran at scale.
• You debug link and fabric issues from optics to routing.
• Deployments you've led finished clean, with no punch list of mystery links.
• Bonus: InfiniBand and RoCE. 100k+ GPU fabrics. Python or Go automation. Optics-level debugging.

We are committed to pay equity and transparency.

Compensation Range: $186K - $220K

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.