Production Engineer, IaaS
San Francisco, CA · Austin, TX · New York, NY · Seattle, WA$175k–$300kPosted Jul 6, 2026
Production Engineer, IaaS 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. 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 onMake tens of thousands of GPUs legible in real time: build the observability platform that turns raw telemetry into signal, from site-level health down to individual device and link. At this scale, you cannot operate what you cannot see.Build the control plane every team at Fluidstack depends on: replace one-off tooling with a stable, versioned API surface that covers unified machine management, actual state inspection, and distributed command execution. One interface for the whole company, not a hundred scripts.Make the system's view of itself always match reality: integrate fleet state as a machine-readable source of truth across provisioning, operations, and customer-facing platforms, so every new site and GPU generation lands cleanly from day zero.Role ScopeOwn the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible — from site down to device and link. No other team should need...