Network Engineer, BMS/EPMS Networks

Network Engineer, BMS/EPMS Networks LocationNew York, NY; Austin, TX; San Francisco, CA; Seattle, WAEmployment TypeFull timeLocation TypeOn-siteDepartmentDeliveryCompensation$194K – $226KTo 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 Network TeamExamples of key problems the team is working onBuild the networks the frontier of AI trains on. Fabrics for 100k+ accelerator clusters, backbones between gigawatt campuses, and every network in between.Run 10s to 100s of GWs of networks as one machine. Training fabrics for 100k+ accelerators, backbone, corp, and BMS/EPMS, one architecture across gigawatt campuses.Deliver a full site network in days, not quarters. Designs generated from source-of-truth models, devices turned up by ZTP, every link validated by machine. At this scale, manual is an outage.Role ScopeOwn the facility networks: the OT network layer carrying BMS, EPMS, and controls traffic across every site.Design segmented, secured OT networks that controls vendors can integrate to without weakening them.Standardize the facility network reference design so every site deploys identically.Run the OT/IT boundary: firewalls, monitoring, and access built for uptime and audit.What We're Looking ForThe 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 built networks for OT and industrial environments.You know how controls protocols actually behave on a network, BACnet/IP quirks included.You've implemented OT segmentation that operations could live with.You work with controls engineers as partners, not adversaries.Bonus: Data center facility networks. IEC 62443. Firewall platforms. Controls engineering background.We are committed...