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FluidStack

Builds and runs GPU clusters for AI labs

Decision Engineer, Manufacturing & Supply Chain

Backend Engineering +1Posted on Nov 12
Full-timeIn-person
Earn $5k if you accept an offer

About the Job

Requirements

  • You have shipped production code in Go, Python, or TypeScript, and can pick up other languages as needed.
  • You can identify problems, design solutions, and deliver them independently.
  • You have moved quickly under deadlines while building data models and foundations that other engineers can extend.
  • You have earned credibility with operators in factories, warehouses, or procurement and driven software adoption within real operational deadlines, such as a live production run or quarter-end close.
  • You have product judgment reflected in shipped interfaces and workflows that align with how operational work is performed.

Responsibilities

  • Turn bills of materials into an order book, with prices and lead times for each line, project-specific bills, and purchase orders derived from a source of truth.
  • Build trustworthy procurement tracking rules and code that determine lateness, status, and critical-path lines using vendor emails, documents, and general contractor purchase orders; detect drift and draft recovery plans.
  • Close the loop from receiving to payment by matching deliveries to purchase order lines, tracking serial numbers in warehouse bins, scoring cycle counts against accuracy gates, and supporting finance three-way matching from the same record.
  • Represent manufacturing bills of materials, engineering change notices, and drawing trees in a unified model; generate inspection and test plans and first-article procedures by asset and design revision; and open evidence-backed nonconformances when checks fail.
  • Embed with sourcing leads, quality managers, factory operators, and warehouse teams to translate their judgment into systems for order schedules, monthly cash demand, and payment schedules.

Desired Qualifications

  • Experience with manufacturing execution systems, enterprise resource planning systems, warehouse management systems, or transportation management systems.
  • Experience with bill-of-materials lineage, engineering change control, and serialized component traceability.
  • Experience with supplier quality processes, including nonconformance reports, corrective and preventive actions, or first article inspection.
  • Experience with three-way matching and receiving reconciliation.
  • Experience with large language model extraction over vendor documents.
  • Experience with high-volume hardware supply chains.

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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