Decision Engineer, Compute Operations

Posted One Month Ago
4 Locations
In-Office
224K-300K Annually
Entry level
Artificial Intelligence • Software
The Role
Build software systems for large-scale AI compute operations, including fleet health monitoring, automated repair and RMA workflows, hardware qualification, facility asset management, and structured operational procedures. Develop production features using Go, Python, or TypeScript; integrate LLMs and agentic tools; support on-call operations; and work closely with production engineers and facility operators to improve reliability and deployment speed.
Summary Generated by Built In
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 Decision Team

Examples of key problems the team is working on

  • Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand.

  • Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit.

  • Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them.

Role Scope
  • Build incident management for physical assets: related alarms roll up into a single incident that reaches on-call with a probable cause already drafted, so work goes out the moment an alert lands. Root cause analysis traces every failure to the asset behind it, and on-call rotations run from the same system.

  • Close the loop from failure to return to service: failure thresholds route machines to repair automatically. Each one is triaged, a spare is pulled from the warehouse and scanned at the swap, and the broken part goes back to the vendor on an RMA.

  • Sequence and staff every job: each job runs as ordered steps, and the system checks one step is done before the next starts. Shift scheduling finds who is available, and each production engineer's shift todo list is automatically generated for them.

  • Run the facility on a unified system: one asset register covers every piece of equipment across IT and facilities, and the CMMS schedules preventive maintenance, issues work orders, and runs lockout tagout. Roll it out from one live site to every site, retiring the legacy DCIM tooling on the way.

  • Build tools anyone in front of a rack can use: operator tooling simple enough that anyone off the street knows exactly what to do. Scan this part of the rack, in this order, and the tool spots any mistakes. Every runbook becomes a guided, verified workflow.

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 shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands.

  • You identify problems, design the solution, and ship it without waiting for direction or approval.

  • You've moved fast under deadline while leaving foundations that other engineers extended after you moved on.

  • You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter.

  • Your product taste shows in what you've shipped: interfaces technicians and operators call obvious, and workflows that match how the work actually happens.

  • Bonus: Software engineering on CMMS, DCIM, WMS, or asset management systems. Operations software for fleets of physical assets such as power plants, solar farms, turbines, or microgrids.

Benefits
  • Competitive total compensation package (cash + equity)

  • Health, dental, and vision insurance

  • Retirement plan

  • Generous PTO policy

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
AI Screening Notice
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 [email protected] 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.

Skills Required

  • Production software development experience with Go, Python, or TypeScript, plus the ability to learn additional languages
  • Experience building production features with LLM APIs, including OpenAI, Anthropic, or open-weight models
  • Experience with MCP servers and agentic frameworks
  • Daily experience using AI coding tools such as Claude Code and Cursor
  • Ability to independently identify problems, design solutions, and ship them without waiting for direction
  • Experience delivering quickly under deadlines while creating maintainable foundations for other engineers
  • Experience participating in an on-call rotation or working closely with on-call engineers
  • Ability to turn operational pain into systems that improve reliability and reduce pager noise
  • Product judgment focused on intuitive interfaces and workflows aligned with operational practices
  • Experience with production engineering or SRE on large GPU fleets
  • Experience with hardware qualification or burn-in frameworks
  • Experience with BMC, Redfish, or IPMI tooling
  • Experience with CMMS, DCIM, or asset management systems
  • Experience with BMS, EPMS, or SCADA systems
  • Experience with Prometheus and Grafana
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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