Controls Engineer, Energy Management
Fluidstack
Listing collected from Fluidstack's career site. NextChapter is independent of Fluidstack.
Austin, TX · $200k–$250k a year · Posted September 25, 2026
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Where Austin, TX ranks
Where Austin, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for professional services pay after cost of living$168k · of 25
- #1Cities with the most jobs that do not need a four-year degree in the Southwest493 jobs · of 38
- #1Best cities for pay after cost of living in the Southwest$168k · of 15
- #1Best cities for pay after cost of living in Texas$168k · of 8
- #1Best cities for software and engineering jobs in the Southwest1,931 openings · of 33
- #1Best all-round cities for mid-career professionals in the Southwest92 / 100 · of 15
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $225,000 a year. Across 66 open controls engineer listings that state pay, the middle half runs $95,000 to $135,500 and the median is $110,500. That is 104% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
AI use among electrical engineers is little observed so far. Measured exposure for electrical engineers: 6% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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
- Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
- Insane urgency. We drive everything forward as fast as possible.
- Reason from 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.
- Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.
THE FACILITY CONTROLS TEAM
The 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.
Examples of key problems the team is working on
- Deliver the controls behind gigawatt-scale data centers this decade.
- Own real-time load control and MEP and behind-the-meter integration.
- Automate Level 4 and Level 5 commissioning.
- Drive autonomous, robotic deployment.
ROLE SCOPE
- Own 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.
- Define the sequences of operation our controller executes. Normal operation, generation shortfall, source transitions, blackstart and emergency shed, along with the degradation behavior for each.
- Specify the point maps, interlocks and constraint classes that vendors build against. Then hold them to it through factory and site acceptance.
- Translate 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.
- Prove the interface in simulation before energization. Every constraint class and every mode transition, then carry that work into automated commissioning
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 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.
- You 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.
- You 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.
- You 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.
- You have written the control narrative for a system where two controllers had to agree, and you owned what happened when they disagreed.
- You 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.
- You have pushed back on a vendor's scope, or on your own company's assumption, with a number rather than an opinion.
- Bonus: 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.
We are committed to pay equity and transparency.
Fluidstack 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.
Applicant Privacy Notice https://fluidstack.io/legal/applicant-privacy-notice AI Screening Notice https://fluidstack.io/legal/ai-screening-notice Ashby Bias Audit https://fluidstack.io/legal/ashby-bias-audit
You 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 careers@fluidstack.io 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.