Product Engineer

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!

We are hiring Product Engineers to work on Fluidstack’s AI-integrated software stack that enables us to build capacity faster than anyone in the industry.

You will own features at every layer of the stack from concept to outcome, no handoffs, no ticket implementation. You will identify problems, design solutions, build, ship, and measure success.

Fluidstack is flat. No middle management. Nothing in the way of shipping. Our engineers hold the highest levels of ownership in the industry. You won’t escalate, you’ll ship. You won’t ask for approval, you’ll just do things. You’ll be operating infrastructure worth billions of dollars on a timeline measured in months.

You have one goal: build the infrastructure that reduces time to compute.

• High 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.

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.

• Supply chain automation: Interfaces where ordering 10,000 GPUs and all supporting components feels like opening a GitHub pull request.

• Capacity forecasting and scheduling: systems that model build timelines, predict bottlenecks, and drive schedules across dozens of concurrent projects

• Internal AI infrastructure: shared agent frameworks, skill libraries, and integrations with the platforms the company runs on, including project management, source control, construction software, messaging, CRM, and internal APIs, so every team at Fluidstack can build with AI, not just engineers

• Operational automation: workflow orchestration and self-service tooling that eliminates manual toil across operations and engineering

• Datacenter design & validation: Applications that generate, simulate, and validate AI infrastructure layouts, power topologies, and cooling configurations.
  

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.

• 5+ years of software engineering experience shipping production code in Go, Python, or TypeScript, and the ability to work in any language, primarily using AI coding tools to move fast.

• Hands-on experience building with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and working with agentic frameworks.

• Deep fluency with AI coding tools including Claude Code, Cursor, etc. and the ability to get agents to work autonomously alongside you.

• Proven ability to work with high autonomy: identifying problems, designing solutions, and shipping results with minimal direction. You are a barrel, not a passenger.

• Strong systems thinking to balance rapid iteration with building foundations others can extend.

• Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption

• Great product and design taste: as the barrier to building gets lower, taste matters more
  

• Competitive total compensation package (cash + equity)

• Health, dental, and vision insurance

• Retirement plan

• Generous PTO policy

• We are committed to pay equity and transparency.

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 [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.