1,785,023open jobs
103,769companies
265,772added this week
Browse all
Salary
$224k – $279k per year
Location
In office (Austin, New York, San Francisco, Seattle)
Visa
H-1B filings in 12 months: 23
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jul 17, 2026. Fluidstack scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Fluidstack is an artificial intelligence infrastructure company that builds and operates large GPU clusters for model developers, research labs and enterprises. It began by aggregating idle compute from data centres and has since moved into developing dedicated gigawatt-scale sites, arranging the power, financing and construction alongside the clusters themselves, and it works with national governments and sovereign programmes as well as commercial labs. The company is headquartered in New York with a substantial London presence, and it competes with the specialist GPU cloud providers by taking on the energy and site development problem rather than only reselling capacity.

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 Ontology Team

Examples of key problems the team is working on

  • Reduce the latency from something happening to Fluidstack knowing about it. Index operational systems, documents, conversations, and telemetry as they change, so a delayed shipment or a rack coming online becomes usable context while there is still time to act.

  • Give every entity in Fluidstack's domain a shared identity. Connect a machine’s design, order, delivery, deployment, and incidents even when each system describes it differently.

  • Turn what Fluidstack knows into business signals. Compare plans with observations across sites, supply chains, and compute operations, and surface the gaps that matter as the company builds at gigawatt scale.

  • Build a secure platform where agents can be first-class citizens. Give agents access within each user’s permissions, with every answer traceable to its sources, freshness, and gaps in the evidence.

Role Scope

  • Build the internal data platform that turns updates from procurement, construction, compute operations, documents, and conversations into fresh, queryable context for Fluidstack teams and agents.

  • Make new sources straightforward to add, including vendor records, PDFs, spreadsheets, and exports, while keeping a clear path from structured data back to its original evidence.

  • Ship query and retrieval services that enforce a caller’s permissions before data reaches an agent, including when an answer combines or summarizes information from multiple systems.

  • Preserve source ownership, provenance, history, freshness, and access policies as data is transformed or combined, and propagate deletions and permission changes to downstream results.

  • Set and operate freshness, quality, and security guarantees, using real operational questions and failures to judge whether the platform helps Fluidstack act sooner.

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 built and operated a shared data system that changed how other teams made decisions or ran critical workflows.

  • You’ve made heterogeneous operational data coherent and extensible enough for other engineers to bring new domains into it.

  • You’ve built permissioned query or retrieval systems that software could use on behalf of people, with source restrictions enforced in search and derived answers.

  • You’ve kept data systems correct as sources, permissions, and records changed, including when data had to be replayed or removed.

  • You’ve worked directly with operators to find the decisions their data needed to support, then built shared capabilities around those needs.

  • You’ve traced a wrong or stale answer back to its source, fixed the cause, and made that failure detectable the next time.

  • Bonus: Data warehouse and lakehouse platforms (Snowflake, Databricks, ClickHouse). Change data capture and streaming (Debezium, Kafka). Authorization systems (OpenFGA, attribute-based access control). Search and document extraction. Physical infrastructure, inventory, or supply chain data.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,785,023 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Austin
$120k – $250k per year • Remote (United States) • Full-Time • 8+ years exp • PhD • Boston
Databases
Snowflake
Databricks
AI/ML
LangChain
LlamaIndex
Fine-tuning
Prompt Engineering
NLP
LLM
RAG
Sentiment Analysis
Agentic Workflows
Machine Learning
DevOps
AWS
Analytics
A/B Testing
Apply
$120k – $250k per year • Remote (United States) • Full-Time • 8+ years exp • PhD • New York
Databases
Snowflake
Databricks
AI/ML
LangChain
LlamaIndex
Fine-tuning
Prompt Engineering
NLP
LLM
RAG
Sentiment Analysis
Agentic Workflows
Machine Learning
DevOps
AWS
Analytics
A/B Testing
Apply
≈ $118k – $225k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • United States
Python
SQL
Databases
Snowflake
AI/ML
dbt
Human-in-the-Loop
Analytics
Master Data Management
Erwin
Apply
$93k – $125k per year • In office • Full-Time • Bachelor's Degree • Celebration
Python
SQL
AI/ML
Spark
Multimodal AI
RAG
Hallucination
Feature Store
Machine Learning
DevOps
CI/CD
GitHub
GitLab
Analytics
Tableau
A/B Testing
Apply
Hybrid • Internship • Bachelor's Degree • Madison
Python
Databases
Google BigQuery
BigQuery
AI/ML
AI Agents
Apply
$23k – $40k per year (gross) • Remote (India) • 3+ years exp • Gurgaon
Python
Go
Rust
Databases
PostgreSQL
CockroachDB
Cassandra
RabbitMQ
Apache Kafka
DevOps
gRPC
Apply
Senior Data Engineer 13 days ago
≈ $25k – $52k per year (Estimated) • In office • 5+ years exp • Hyderabad • Ahmedabad
Python
SQL
Databases
Snowflake
AI/ML
dbt
DevOps
Rest API
Azure
CI/CD
Git
AWS
Amazon S3
Analytics
ETL/ELT
Matillion
Azure Data Factory
Dimensional Modeling
Management
Agile
Scrum
Apply
≈ $26k – $75k per year (Estimated) • Remote (EAEU) • Full-Time • 3+ years exp • Moscow
Python
Go
Java
PHP
Java
Spring Boot
Hibernate
Liquibase
Databases
PostgreSQL
Redis
Apache Kafka
DevOps
Podman
CI/CD
Docker
Kubernetes
Grafana
GitLab
Cybersecurity
PCI DSS
Management
Scrum
Kanban
Apply
$224k – $300k per year • In office • Full-Time • San Francisco
Python
TypeScript
AI/ML
Cursor
Claude Code
Model Context Protocol
Computer Vision
AI Agents
LLM
OpenAI
Anthropic
Knowledge Graph
Apply
$224k – $300k per year • In office • Full-Time • San Francisco
Python
TypeScript
AI/ML
Cursor
Claude Code
Model Context Protocol
AI Agents
LLM
OpenAI
Anthropic
Knowledge Graph
Apply
$224k – $300k per year • In office • Full-Time • New York
Python
TypeScript
AI/ML
Cursor
Claude Code
Model Context Protocol
AI Agents
LLM
OpenAI
Anthropic
Knowledge Graph
Apply
$224k – $300k per year • In office • Full-Time • San Francisco
Python
TypeScript
AI/ML
Cursor
Claude Code
Model Context Protocol
Computer Vision
AI Agents
LLM
OpenAI
Anthropic
Knowledge Graph
Apply
$224k – $300k per year • In office • Full-Time • New York
Python
TypeScript
AI/ML
Cursor
Claude Code
Model Context Protocol
AI Agents
LLM
OpenAI
Anthropic
Knowledge Graph
DevOps
Prometheus
Kubernetes
Grafana
Apply
$98k – $195k per year • Hybrid • Full-Time • 6+ years exp • Master's Degree • Chicago • Austin • New York
DevOps
Azure DevOps
Azure
Management
Smartsheet
Jira
Scrum
Apply
≈ $103k – $198k per year (Estimated) • In office • Full-Time • 7+ years exp • Bachelor's Degree • Austin
Python
SQL
Databases
Snowflake
AI/ML
Claude Code
Model Context Protocol
Prompt Engineering
AI Agents
Gemini
LLM
Anomaly Detection
Time Series Forecasting
Agentforce
Agentic Workflows
DevOps
CI/CD
Git
Cybersecurity
GDPR
Analytics
Tableau
Management
Agile
Apply
In office • Cofounder • United States
Apply
≈ $39k – $68k per year (Estimated) • Equity • In office • Full-Time • 1+ year exp • Austin
Apply
Rooftop Loader 8 hours ago
≈ $39k – $88k per year (Estimated) • Equity • In office • Full-Time • High School Diploma • Austin
Apply
See all jobs
This is one of many
1,785,023 more open roles from verified company boards, updated every day.