{"id":1271729,"url":"https://alion.io/job/fluidstack-controls-engineer-energy-management","title":"Controls Engineer, Energy Management","company":{"id":716444,"name":"Fluidstack","domain":"fluidstack.com","url":"https://alion.io/company/fluidstack-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":25,"ghost_share":0,"stale_share":0.52,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","San Francisco, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"MQTT","optional":false},{"name":"OPC UA","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-09-25T17:58:43Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T17:57:11Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Fluidstack\nWe 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. \nWe'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.\nWe hire people who care deeply about this problem space. If that is you, please apply!\nHow We Operate\nBe a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.\n\nInsane urgency. We drive everything forward as fast as possible.\n\nReason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\nLove 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.\n\nBuild something that actually matters. If you're going to spend your time, spend it on something that matters to the world.\n\nThe Facility Controls Team\nThe Facility Controls team builds the control systems behind Fluidstack's data centers: real-time load control, MEP and behind-the-meter integration, automated commissioning, and autonomous deployment.\nExamples of key problems the team is working on\nDeliver the controls behind gigawatt-scale data centers this decade.\n\nOwn real-time load control and MEP and behind-the-meter integration.\n\nAutomate Level 4 and Level 5 commissioning.\n\nDrive autonomous, robotic deployment.\n\nRole Scope\nOwn the control and data contract between our facility energy controller and third-party power plant controllers. Define the objects, fields, units, update rates and staleness behavior that cross the boundary in each direction.\n\nDefine the sequences of operation our controller executes. Normal operation, generation shortfall, source transitions, blackstart and emergency shed, along with the degradation behavior for each.\n\nSpecify the point maps, interlocks and constraint classes that vendors build against. Then hold them to it through factory and site acceptance.\n\nTranslate between electrical and software. Turn electrical and generation constraints into requirements our software team can build, and turn software and data constraints back into terms a plant vendor and an engineer of record will accept.\n\nProve the interface in simulation before energization. Every constraint class and every mode transition, then carry that work into automated commissioning\n\nWhat We're Looking For\nThe 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.\nYou have worked in the protocols that move data between machines and between systems (MQTT, OPC UA, REST APIs) and you can say why you would pick one over another for a given job rather than reaching for whichever one you used last.\n\nYou write and read code in at least one language well enough to prototype an integration, test a point map against a live device, and review what the software team ships. Python or Go preferred.\n\nYou read a one-line and a panel schedule and can say what the protection, the breakers and the sources will actually do under a fault.\n\nYou have designed a data contract between two systems: the objects, the fields, the units, the update rates, and what a consumer does when a value goes stale. You held both sides to it.\n\nYou have written the control narrative for a system where two controllers had to agree, and you owned what happened when they disagreed.\n\nYou sit between the controls world and the software world and you are fluent in both. You have taken a control requirement from an electrical engineer and turned it into something a software team could actually build, and you have pushed back on a software design because it would not survive the field.\n\nYou have pushed back on a vendor's scope, or on your own company's assumption, with a number rather than an opinion.\n\nBonus: Microgrid and behind-the-meter control (grid-forming BESS, PV plant controllers, turbine and genset dispatch). Utility and industrial protocols (DNP3, IEC 61850 GOOSE, IEC 60870-5-104, Modbus TCP). Schema-driven contracts (OpenAPI, JSON Schema). Automated Level 4 and Level 5 commissioning.\n\nWe are committed to pay equity and transparency.\nFluidstack 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.\nYou will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email  with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.","description_format":"text","description_chars":5683,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Management","Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-26T00:21:49Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":50,"reasons":["conf:8","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/fluidstack-controls-engineer-energy-management","json_url":"https://alion.io/job/fluidstack-controls-engineer-energy-management.json","meta":{"generated_at":"2026-10-01T01:10:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"assistant","counted_by":"address","units_charged":1,"used_today":70,"day_limit":2000,"remaining_today":1930,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}