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FluidStack

Builds and runs GPU clusters for AI labs

Forward Deployed Engineer - Infrastructure Development & Delivery

Backend 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 additional languages as needed.
  • You have built features using large language model APIs, including 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 to perform useful work autonomously.
  • You can independently identify problems, design solutions, and ship them.
  • You have moved quickly under deadlines while creating foundations that other engineers could extend.
  • You have earned credibility with construction leads, field engineers, schedulers, or commissioning agents, and driven adoption of software within their deadlines.
  • You have demonstrated product taste by shipping interfaces field crews find obvious and workflows that match how the work happens.

Responsibilities

  • Build portfolio schedules using templates for each building type, instantiated per project, and tie activities to materials so need-by dates are determined by the critical path and permitting changes update procurement calendars.
  • Turn site work packages, contractor field entries, rack placements, cable runs, and quality assurance inspections into structured records tied to the relevant design revision; compute percent complete from evidence and show customers delivery against commitments.
  • Develop a change-order workflow that drafts scope, cost, and schedule impacts from design changes, routes approvals through legal, finance, and the general contractor, and updates the bill of materials and schedule when an order is signed.
  • Ingest building information models into the bill of materials with reviewable revision diffs, generate submittal requirements per specification section, and maintain canonical records for sites, buildings, and data halls for downstream systems.
  • Implement commissioning software that generates asset test procedures from design revisions across five levels, records results as evidence, uses self-checking energization gates, and enables handover based on proof.

Desired Qualifications

  • Experience with construction technology or project controls, including P6, schedule engines, or critical path methods.
  • Experience with building information modeling, IFC, or Revit data models.
  • Experience with commissioning, BMS/EPMS, or controls protocols.
  • Experience with document control and submittal workflows.
  • Experience with graph data models.
  • Experience with computer vision on site imagery.

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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