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Physical Engineering & DesignAustin, TXFull Time

PCS Lead Engineer, Power Generation

Austin, TX · New York, NY · San Francisco, CA · Los Angeles; CA · Seattle, WAOnsite

About Fluidstack

Technology is the most important tool humans have found for improving the human condition, but it is not a default good. It is a lever for ideology.

Today the most powerful technology in history is being built: machines that solve problems better than humans can. The most important mission of our generation is to imbue AI with democratic values: error-correcting institutions, freedom of speech, individual liberties. AI trains and runs on massive compute clusters. Whichever ideology builds the infrastructure the fastest is the ideology that will endure. Democracy is delicate and won't survive this technology by default.

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 Power Generation Team

Examples of key problems the team is working on

  • Build an islanded grid at gigawatt scale, from a blank sheet. Generation, storage and compute running with no utility behind them, where the machine you design is the only thing holding frequency. No playbook exists at this size, so the architecture you set becomes the reference.

  • Get power online in months, not years. Interconnection queues are measured in years and we do not have them. Generating our own power is how a site goes from signed lease to live compute inside six months, and the power system is the long pole in that plan.

  • Make one power block, then build it a thousand times. A repeatable block and cluster unit, validated once and stamped across the fleet, is the only route to the scale we are targeting. Every bespoke site is schedule we do not get back.

  • Design a grid whose largest load answers back. Compute is not passive demand here. Load behaviour, curtailment and shedding are design variables you negotiate and specify, a lever almost no power system engineer has ever been handed.

Role Scope

  • Own the power conversion layer across storage and solar, PCS and inverter topology, DC architecture, filtering and the conversion interface to MV collection, as one standard repeated across concurrent gigawatt sites.

  • Write the PCS and inverter specification vendors bid against, qualify platforms on measured behavior rather than datasheet, and hold OEM engineering to the spec through factory witness testing, site acceptance and warranty.

  • Set the converter-level control requirements that let the plant hold firm load, grid-forming and grid-following operation, ride-through, step-load response and reactive capability, and hand a defensible interface to the storage, controls and protection leads.

  • Lead conversion-side energization and commissioning in the field, through first charge and discharge, islanding and transfer tests, and step-load testing against real AI load profiles.

  • Root-cause converter trips, derates and firmware regressions across the fleet, and fold every fix back into the standard design so the next site does not repeat it.

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.

  • You've taken power conversion from specification to energized and dispatching on grid-scale storage or solar, and you can name the sites and the megawatts.

  • You've written an inverter or PCS specification that a vendor bid against, then held that vendor to it when their standard product did not meet it.

  • You've debugged converter behavior in the field from scope traces, power quality captures and event records, and changed a setting or a firmware build as a result.

  • You've specified or validated grid-forming operation on a plant that has to survive islanded, and you know where the vendor datasheet stops matching the hardware.

  • You've carried a failure from a field symptom to a change in the standard design, not just to a site-level workaround.

  • You write clearly enough that an OEM engineer, a commissioning agent and a CEO each get the decision they need out of the same document.

  • Bonus: Grid-forming control and EMT validation (PSCAD, EMTP, PLECS). Converter design at the hardware level (magnetics, thermal, SiC and IGBT device selection). BESS and inverter certification (UL 1741 SA and SB, IEEE 1547, UL 9540A). Named PCS platforms (Power Electronics, SMA, EPC Power, Sungrow, Tesla). Behind-the-meter and islanded microgrid operation. Professional Engineer license.

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.

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.

Compensation

$330K – $390K • Offers Equity

Ready to help build civilization-scale infrastructure for AI?

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