IT Infrastructure Capacity Analyst

Reposted 16 Days Ago
Be an Early Applicant
4 Locations
In-Office
Mid level
Artificial Intelligence • Software
The Role
Model compute, network, and support hardware capacity across sites; reconcile demand with orders, inventory, and lead times; build automated capacity views for planning and procurement; detect and resolve discrepancies to prevent schedule delays.
Summary Generated by Built In
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.

Role Scope
  • Model IT and hardware capacity across the pipeline: what compute, network, and support gear each site needs and when.

  • Reconcile demand against orders, inventory, and lead times, and flag the gap before it hits a schedule.

  • Build the capacity views planning and procurement run on, refreshed automatically.

  • Chase discrepancies to ground: a miscounted rack now is a missed energization later.

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 done capacity, demand, or supply planning for hardware-heavy operations.

  • You've built models in SQL or spreadsheets that survived contact with messy source data.

  • You reconcile relentlessly: your numbers tie out or you know exactly why not.

  • You translate an analysis into an action: order now, shift that, escalate this.

  • You automate refreshes rather than rebuilding by hand.

  • Bonus: Data center or hardware supply chains. ERP data. Python. Forecasting methods.

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.

Skills Required

  • Experience with capacity, demand, or supply planning for hardware-heavy operations
  • Built models in SQL or spreadsheets that handle messy source data
  • Strong reconciliation skills to ensure numbers tie out or explain discrepancies
  • Ability to translate analysis into actionable recommendations (ordering, shifting, escalation)
  • Automation of data refreshes and models rather than manual rebuilds
  • Experience with data center or hardware supply chains
  • Familiarity with ERP data
  • Python programming
  • Knowledge of forecasting methods
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

Similar Jobs

Hybrid
4 Locations
289097 Employees

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Inside Sales Representative

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
10 Locations
40000 Employees
44K-85K Annually

Spectrum Logo Spectrum

Account Executive

Information Technology • Internet of Things • Mobile • On-Demand • Software
In-Office
Dallas, TX, USA
100000 Employees

Pfizer Logo Pfizer

HSS-Health and Science Specialist - Southern Maryland, MD

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
3 Locations
121990 Employees
94K-165K Annually

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account