Software Engineer, Product

Company: Fluidstack

Location: San Francisco, CA

Salary: $150k - $350k per year

Type: Full-time

Posted: 2026-07-05

About this role

# 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!

## The Role

In this role, you will 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.

## What You Will Build

  • **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...

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