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FluidStack

Builds and runs GPU clusters for AI labs

Forward Deployed Engineer - Manufacturing & Supply Chain

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

About the Job

Requirements

  • You have shipped production code in Go, Python, or TypeScript and can pick up other programming languages as needed.
  • You have built features using large language model application programming interfaces, Model Context Protocol servers, or agentic frameworks, and have deployed document extraction systems to production using messy real-world inputs.
  • You use AI coding tools such as Claude Code and Cursor and can have agents perform useful work autonomously alongside you.
  • You can identify problems, design solutions, and deliver them independently.
  • You have moved quickly under deadlines while creating data models and foundations that other engineers can extend.
  • You have earned credibility with operators in factories, warehouses, or procurement and driven adoption of software within operational deadlines, such as a live production run or quarter-end close.
  • You have product judgment demonstrated by shipping interfaces that floor teams find intuitive and workflows that reflect actual work practices.

Responsibilities

  • Turn bills of materials into order books by managing template bills with line-item prices and lead times, locking project bills to buildings, and deriving purchase orders from a single source of truth.
  • Make procurement tracking reliable by implementing rules for late items, status, and critical paths in code against live vendor emails, documents, and general contractor purchase orders; detect drift and draft recovery plans.
  • Connect receiving to payment by matching deliveries to purchase order lines, tracking serial numbers in warehouse bins, scoring cycle counts against accuracy thresholds, and supporting finance three-way matching from the same record.
  • Digitize manufacturing before factories open by modeling manufacturing bills of materials, engineering change notices, and drawing trees; generate inspection and test plans and first article procedures per asset; and record nonconformances with evidence and vendor rescores.
  • Embed with sourcing leads, quality managers, factory operators, and warehouse teams on-site and in vendor calls, translating 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 action, and first article inspection.
  • Experience with three-way matching and receiving reconciliation.
  • Experience with large language model extraction from 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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