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FluidStack

Builds and runs GPU clusters for AI labs

Researcher - Compute Scaling

Supply Chain ManagementConfirmed live in the last 24 hours
Full-time$224k - $264k /yrIn-person

About the Job

Requirements

  • You've built forecasting or planning models that people actually made decisions on, not slideware that got ignored.
  • You've worked with messy operational data from several systems and turned it into a number a team trusted.
  • You catch a lead-time or capacity problem in the data weeks before it becomes a schedule problem.
  • You write analysis clearly enough that a buyer or an executive can act on it without a follow-up meeting.
  • You've partnered with procurement, operations, or finance and shipped analysis that changed what they bought or when.
  • You check your own numbers and you know when a forecast is guessing rather than telling you something.

Responsibilities

  • Build and maintain the demand and lead-time forecasts that keep procurement ahead of the forward build pipeline across every critical equipment category, from chillers to switchgear to transformers to generators.
  • Track supplier capacity, lead times, and delivery risk across dual-sourced categories, and surface the thresholds that trigger a re-source before the schedule slips.
  • Model the cost and timing trade-offs on multi-hundred-million-dollar equipment commitments so buyers negotiate from data, not guesswork.
  • Turn raw supplier, shipment, and inventory data into the weekly signal the supply chain team runs on, reconciling sources that don't agree.
  • Stand up the forecasting tooling and dashboards that let a lean team see disruption coming instead of reacting to it.

Desired Qualifications

  • Supply chain, procurement, or logistics analytics.
  • Data center or hardware equipment categories.
  • SQL and Python for data work.
  • Statistical or machine-learning forecasting methods.
  • Scaling analysis inside a high-growth operation.

About the Company

FluidStack

Builds and runs GPU clusters for AI labs

Fluidstack provides large clusters of GPU servers to AI labs training advanced models, and it builds custom data centers for customers that outgrow existing facilities. In 2025, Anthropic chose Fluidstack to build data centers in Texas and New York as part of a $50 billion investment in American AI infrastructure. Labs pay for dedicated clusters of Nvidia GPUs, sometimes tens of thousands of chips, housed in partner data centers around the world. They reach the clusters through a web console or API, while Fluidstack runs the hardware, networking, and day-to-day operations. Fluidstack was founded in London in 2017 and has its headquarters in New York.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$12.4B
Headquarters
New York City, New York
Founded
2017

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