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FluidStack

Builds and runs GPU clusters for AI labs

Industrial Engineer

Operations & LogisticsConfirmed live in the last 24 hours
Full-timePhoenix, AZ, USA$208k - $243k /yrIn-person

About the Job

Requirements

  • You've designed or re-designed a warehouse layout and can point to the throughput or cost improvement it produced.
  • You've run a time and motion study and turned it into a standard work instruction that a new hire could follow on day one.
  • You've modeled dock, rack, or staging capacity against real operational data, not rule-of-thumb assumptions.
  • You've partnered with a systems team to make sure new software matched a real physical process instead of forcing the process to bend to the software.
  • You get to a site, watch how work actually happens, and find the waste that nobody built a report to catch.
  • Work in non-climate-controlled environments, including active construction areas, data halls, electrical and mechanical rooms, and outdoor spaces. Temperatures can be high or low, and conditions can be humid, loud or dusty.
  • Lift, carry, push and pull up to 40 pounds on your own.
  • Sit, stand, walk, kneel, bend and crouch for long periods, including full shifts on your feet.
  • Wear the required personal protective equipment, such as hard hats, safety glasses, steel-toed boots, gloves and hearing protection, and follow site safety rules.
  • Climb stairs and ladders, and move around equipment, cable trays and uneven surfaces.

Responsibilities

  • Design pick, pack, receiving, and return merchandise authorization workflows for each site's warehouse layout, optimizing for travel distance, throughput, and dock-to-floor time.
  • Run time and motion studies on warehouse and dock processes, and use the data to set the standard work each site trains against.
  • Model rack, dock door, and staging layouts for new and existing sites, balancing throughput against real estate cost.
  • Build the process documentation and standard work instructions that let a new site ramp to full productivity in weeks, not months.
  • Partner with the warehouse management system and inventory management system build teams to make sure new tooling matches the physical workflow, not the other way around.

Desired Qualifications

  • Lean Six Sigma or industrial engineering background.
  • Experience in data center, manufacturing, or high-throughput distribution environments.
  • Familiarity with warehouse simulation or layout modeling tools.

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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