
Software Engineer
Fluidstack · Seattle, WA
- On site
- Full-time
- $250,000 / year
- Seattle, WA
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Subject: Interested in the Software Engineer role at Fluidstack
Hi Jamie — I came across the Software Engineer opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Fluidstack stood out because…
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Job highlights
- Build AI infrastructure at scale for human freedom.
- Design and operate data centers end-to-end.
- Develop agent platforms with AI guardrails.
- Own core system primitives and domain models.
- Work with diverse data formats and AI tooling.
About the 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!
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 unstructure vendor 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, audit, and guardrails, to let agents accelerate the development of infrastructure instead of just advising report on it.
Role Scope
- Build core primitives end to end. Entity ownership, audit, authorization, orchestration. You make the right thing the default and the wrong thing hard.
- Own the domain model. Turn Fluidstack's world of power, datacenters, and chips into composable entities that still hold up years from now.
- Define interactions with the outside. Interface with vendor systems and ingest the formats our domain actually speaks: KMZ, BIM, Revit, vendor docs.
- Make AI agents first-class operators of our systems. Give them the tools, guardrails, and audit trails to act safely, not just advise.
What We're Looking For
The following 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 move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
- You learn at a steep slope. You reach real competence in an unfamiliar domain fast, whether it's a workflow engine, an authz model, or a geospatial format. We value this over existing expertise.
- You have taste in abstraction. You see the one primitive hiding under five janky one-offs, and you know when not to abstract.
- You model domains with rigor earned the hard way. You've gotten it wrong, felt the pain, and never forgot it.
- You pull structure out of mess. You've done real work turning messy, unstructured data into something usable, in ML, data engineering, or research.
- You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
- You've shipped production code that other people depend on, and you're comfortable in any language using AI coding tools.
Bonus:
- MLE work, especially extraction and synthesis from unstructured data.
- Workflow and orchestration engines (Temporal, Cadence, Airflow).
- Geospatial (KMZ/GIS) or BIM (Revit, IFC).
- Authorization and policy engines (OPA, Zanzibar-style, RBAC/ABAC).
- Audit or event-sourcing systems.
- Go, TypeScript, and Postgres.
Salary & Benefits
- Competitive total compensation package (salary + equity).
- Retirement or pension plan, in line with local norms.
- Health, dental, and vision insurance.
- Generous PTO policy, in line with local norms.
The base salary range for this position is $150,000 - $250,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
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.
Key skills/competency
- Software Engineer
- AI Infrastructure
- Data Center Design
- System Design
- Domain Modeling
- Agent Platform Development
- Workflow Orchestration
- Authorization Systems
- Geospatial Data
- Production Code Shipping
Skills & topics
- Software Engineer
- AI
- Infrastructure
- Data Center
- System Design
- Domain Modeling
- Agent Development
- Workflow Orchestration
- Authorization
- Go
- TypeScript
- Postgres
- Production Code
- ML
- Geospatial
- BIM
- Remote
- Hybrid
How to get hired
- Tailor your resume: Highlight experience with AI tooling, production code, and handling unstructured data. Emphasize your ability to learn unfamiliar domains quickly.
- Showcase ownership: Detail projects where you took full responsibility and drove outcomes end-to-end, especially in ambiguous environments.
- Demonstrate first-principles thinking: Be ready to discuss how you challenged assumptions and approached problems from fundamentals.
- Prepare for technical deep dives: Anticipate questions on system design, domain modeling, authorization, and your experience with specific AI frameworks and data formats.
Technical preparation
Behavioral questions
Frequently asked questions
- What is Fluidstack's mission as a Software Engineer?
- Fluidstack's mission is to build civilization-scale infrastructure for AI to expand human freedom. As a Software Engineer, you'll contribute to this by developing core primitives, owning domain models, and creating systems that ensure AI aligns with human goals.
- What kind of problems does the Software Engineering team at Fluidstack solve?
- The team tackles exciting challenges such as automating site design from vendor materials, creating self-updating project delivery schedules, and building agent platforms with robust authorization and audit capabilities for AI-driven infrastructure development.
- What is Fluidstack's stance on remote work for Software Engineers?
- While the job description doesn't explicitly state a remote policy, the emphasis on high ownership and end-to-end responsibility suggests a collaborative environment. It's recommended to clarify the work arrangement during the application process.
- What are the key technical skills Fluidstack looks for in a Software Engineer?
- Fluidstack seeks candidates fluent in AI tooling (LLM APIs, agentic frameworks), with experience shipping production code. Bonus skills include MLE work, workflow orchestration engines, geospatial or BIM experience, authorization systems, and proficiency in Go, TypeScript, and Postgres.
- How important is domain expertise versus learning ability for a Software Engineer at Fluidstack?
- Fluidstack values learning ability and the capacity to gain competence in unfamiliar domains rapidly over pre-existing expertise. They encourage candidates who can move toward ambiguity and build maps in the fog.
- What is the typical career growth path for a Software Engineer at Fluidstack?
- Given the focus on high ownership and end-to-end responsibility, Software Engineers at Fluidstack can expect significant opportunities for growth by tackling complex problems, developing expertise across different layers of infrastructure, and potentially influencing system design at a foundational level.
- How does Fluidstack ensure AI alignment with human values through its engineering efforts?
- Fluidstack focuses on building AI infrastructure that prioritizes human freedom and choice. This involves developing agent platforms with built-in authorization, audits, and guardrails to ensure AI actions are safe and aligned with desired outcomes.
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