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FluidStack

Builds and runs GPU clusters for AI labs

Product Engineer - Manufacturing & Supply Chain

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands.
  • You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks, and you've put document extraction into production against messy real inputs.
  • You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you.
  • You identify problems, design the solution, and ship it without waiting for direction or approval.
  • You've moved fast under deadline while leaving data models and foundations that other engineers extended after you moved on.
  • You've earned credibility with operators in factories, warehouses, or procurement, and driven adoption of your software inside their real deadlines, like a live production run or a quarter-end close.
  • Your product taste shows in what you've shipped: interfaces the floor calls obvious, and workflows that match how the work actually happens.

Responsibilities

  • Turn the bill of materials into the order book: every template bill carries the price and lead time of each line, every project bill locks against a building, and every purchase order derives from it, so tens of billions of dollars of GPUs, optics, switchgear, and cooling are ordered from one source of truth instead of a spreadsheet.
  • Make procurement tracking trustworthy: the rules that decide when a line is late, what its status means, and which lines sit on the critical path run in code against live vendor emails, documents, and general contractor purchase orders through the extractors you ship, so drift is caught the week it happens and the recovery plan is drafted before the vendor calls.
  • Close the loop from receiving to payment: every delivery matches a purchase order line, every warehouse bin knows its serial numbers, cycle counts are scored against an accuracy gate, and finance three-way matches from the same record, so the question "did we get what we paid for" has one answer instead of three.
  • Ship manufacturing as software before the factory opens: manufacturing bills of materials, engineering change notices, and the drawing tree live in one model, inspection and test plans and first article procedures generate per asset from the design revision, and a failed check opens a nonconformance with the evidence attached and rescores the vendor.
  • Embed with sourcing leads, quality managers, factory operators, and warehouse teams, on their floors and in their vendor calls, and turn their judgment into the systems that decide the order schedule, the cash demand by month, and the payment schedule the company plans against.

Desired Qualifications

  • Experience with MES, ERP, WMS, or TMS systems; BOM lineage, engineering change control, and serialized component traceability; supplier quality (NCRs, CAPA, FAI); three-way match and receiving reconciliation; LLM extraction over vendor documents; or 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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