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FluidStack

Builds and runs GPU clusters for AI labs

Engineering Generalist - R&D

Program ManagementConfirmed live in the last 24 hours
Full-timeAustin, TX, USA$202k - $261k /yrIn-person

About the Job

Requirements

  • Have 3–7 years of experience in engineering, technical program management, consulting, or operations, ideally around hardware, energy, or infrastructure.
  • Have an engineering or technical degree, or equivalent hands-on technical depth.
  • Be comfortable participating in engineering conversations and building first-pass models and analysis.
  • Write clearly and keep senior people informed proactively.
  • Be self-directed, manage own work and upward, and keep work moving without being asked.
  • Be willing to take on tasks the team needs, learn new domains quickly, and be transparent about knowledge gaps.
  • Work hard and be ready for a steep learning curve and broad exposure to how an R&D organization is run.

Responsibilities

  • Work alongside the Head of Development Engineering, taking on high-priority problems and driving each to a decision or delivered result.
  • Own cross-team initiatives from initial scoping through completion, undertaking analysis, vendor calls, scheduling, and follow-up as needed.
  • Coordinate with engineering teams and their leaders to align projects, pilots, and R&D efforts and clarify priorities, owners, and dates.
  • Build first-order analysis to inform leadership's technical direction and communicate decisions to the teams responsible for execution.
  • Run the R&D leadership cadence, including agendas, decisions, action items, and status reports identifying slippage and recovery needs.

Desired Qualifications

  • Experience at a startup or on a first-of-a-kind project.
  • Exposure to power, cooling, or data center systems.

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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