Fluidstack

Software Engineering

SoftwareEngineer

$150–250k San Francisco, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Engineer at Fluidstack. Skills: Software Engineering, DevOps, Cloud, AI/ML. Build core primitives. Own entity audit”

Industry & Context.

Software Engineering
Problems you'll solve

Root cause analysis; Troubleshooting; Analytical thinking

What They're Looking For.

Must Have

Move toward ambiguity, Learn at steep slope, Taste in abstraction, Model domains with rigor, Pull structure out of mess, Fluent with AI tooling, Shipped production code, Comfortable in any language

Nice to Have

MLE work, Extraction and synthesis from unstructured data, Workflow and orchestration engines, Geospatial or BIM, Authorization and policy engines, Audit or event-sourcing systems, Go, TypeScript, and Postgres

What You'll Do.

Build core primitives

Make right thing default

Make wrong thing hard

Turn world into entities

Define outside interactions

Interface with vendor systems

Make AI agents operators

Give agents guardrails

Give agents audit trails

How You'll Work.

Team & Collaboration

Cross-functional teams; End-to-end ownership

Full Job Description

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 - 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. THE SOFTWARE ENGINEERING TEAM EXAMPLES OF KEY EXCITING PROBLEMS THE TEAM IS WORKING ON: - We're building the pipeline that processes thousand-page vendor unstructured material against our own DC design to automate the generation of an end to end site design and schedule. - We're building the live model of a AI infrastructure project’s entire delivery schedule, durable workflows handing off across every team, to replace static Gantt charts with a plan that updates itself as reality changes. - We're building the agent platform that wraps AI in real authorization

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