Production Engineer, Network

Production Engineer, Network LocationSan Francisco, CA; Austin, TX; New York, NY; Seattle, WAEmployment TypeFull timeLocation TypeOn-siteDepartmentOperationsCompensation$208K – $269KTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.This range reflects a good-faith estimate based on the applicable pay scale, the range previously established for this role, the compensation of individuals currently in equivalent positions, and/or the budgeted amount for the position. Actual compensation may vary based on experience, qualifications, and other factors.We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.Total compensation may also include equity in the form of restricted stock units. About FluidstackWe 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 OperateExtreme 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.The Production Engineering TeamExamples of key exciting problems the team is working onTurn every network fault from a mystery into a closed ticket: link diagnostics across router-router and NIC-to-router paths, remote command execution across the fleet, and repair visualization that shows exactly what's broken and why. At this scale, debugging has to be systematic, not artisanal.Build the network repair pipeline that runs itself: from automated fault detection through RMA initiation, ticket integration, transceiver lifecycle tracking, and return to service, across DC fabric, edge, and host-to-network layers. When a new site comes online every six months, manual repair doesn't keep up.Build the network monitoring platform for a fleet that never stops growing: define requirements, alerting lifecycle, and health dashboards from scratch, for infrastructure spanning multiple hyperscale sites today and 10s to 100s of GWs ahead. It doesn't exist yet. We're building it.Role ScopeOwn network fleet health end to end. Define the realtime monitoring requirements, build the alerting lifecycle, and ship the dashboards that give every on-call engineer a true picture of network state across all sites.Build active debugging tooling. Link diagnostics, remote command execution across the fleet, and repair visualization — the tools that turn a network fault from a mystery into a solvable problem, fast.Turn repair into a pipeline, not a procedure. Build the automation that takes a network failure from detection...