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Lead Controls Systems Engineer, Deployment Engineering

Fluidstack
CompanyFluidstack
CategoryEngineering
LocationAustin
RemoteHybrid
EmploymentNot stated
LevelLead
SalaryUSD 300k–340k
Posted11 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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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. THE DEPLOYMENT ENGINEERING TEAM Examples of key problems the team is working on - Turn 50GW+ of design into 50GW+ of built, running infrastructure. The Design team sets the blueprint. This team is where it survives contact with a live construction schedule and becomes a real site. - Close the gap between engineering-complete and operations-ready. A design that passes review still has to survive commissioning, integration, and energization, and that gap is where deployment work lives. - Make the tenth site faster and cleaner than the first. Every deployment feeds field learnings back into the standards, so a one-off fight at one site becomes a repeatable playbook at the next. - Hand off infrastructure that's reliable from the moment it goes live. AI compute workloads don't tolerate a shaky handover, so what this team commissions has to run right the day operations takes over. ROLE SCOPE - Lead end-to-end deployment and commissioning of BMS, SCADA, and EPMS systems across concurrent greenfield sites, from pre-deployment readiness through live handover to operations. - Own operational reliability of deployed control systems across the live fleet, driving root cause analysis on failures and closing out permanent fixes that stop repeat incidents. - Build and maintain the commissioning standards, acceptance test procedures, and runbooks that any site team can execute without central support. - Lead integrated systems testing, functional acceptance, and live cutover on site, resolving integration failures before they delay handover. - Set and enforce controls reliability standards across the portfolio: alarm rationalization, control loop tuning, redundancy validation, and failover testing. 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 https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c. - You hold a bachelor's degree in Electrical, Mechanical, or Chemical Engineering, or a related field. - You've owned field deployment and commissioning of controls systems on industrial or mission-critical facilities from end to end. - You've commissioned and troubleshooted PLCs, SCADA systems, and HMIs on at least one major platform (Rockwell, Siemens, Ignition, or equivalent) in live environments. - You've built commissioning standards, acceptance test procedures, and reliability runbooks that hold up at a portfolio level, not just for a single si
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