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FluidStack

Builds and runs GPU clusters for AI labs

Product Engineer - Infrastructure Development & Delivery

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • You have shipped production code in Go, Python, or TypeScript, and can learn other languages as needed.
  • You have built features using LLM APIs, such as OpenAI, Anthropic, or open-weight models, MCP servers, and agentic frameworks.
  • You use AI coding tools such as Claude Code and Cursor, and can use agents autonomously alongside you.
  • You can identify problems, design solutions, and ship them independently.
  • You have moved quickly under deadlines while leaving foundations that other engineers could extend.
  • You have earned credibility with people in construction and driven adoption of software under their real deadlines.
  • You have demonstrated product taste through shipped interfaces and workflows that fit field crews' work.
  • Bonus: experience in construction technology or project controls, including P6, schedule engines, or critical path.
  • Bonus: experience with BIM, IFC, or Revit data models.
  • Bonus: experience with commissioning, BMS/EPMS, or controls protocols.
  • Bonus: experience with document control and submittal workflows.
  • Bonus: experience with graph data models.
  • Bonus: experience with computer vision on site imagery.

Responsibilities

  • Build portfolio schedules using templates per building type, tying activities to materials so need-by dates and procurement-calendar changes follow the critical path.
  • Turn site work packages, contractor field entries, rack placements, cable runs, and quality inspections into structured records tied to design revisions; compute completion from evidence and show delivery against commitments.
  • Create a change-order workflow that drafts scope, cost, and schedule impacts from design changes, routes approvals, and updates bills of materials and schedules when orders are signed.
  • Ingest building information models into bills of materials with reviewable revision diffs, generate submittal requirements by specification section, and maintain canonical records for sites, buildings, and data halls.
  • Deliver commissioning software that generates asset-specific test procedures, records test evidence, checks energization gates, and enables handover based on proof.

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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