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FluidStack

Builds and runs GPU clusters for AI labs

Network Engineer - Deployment

Network Engineering & AdministrationUpdated on Nov 13
Full-time

About the Job

Requirements

  • Hands-on data center network engineering experience and understanding of modern fabrics such as EVPN/VXLAN, BGP, and CLOS, including configuring production infrastructure.
  • Ability to work in the field, pull cable, configure switches, troubleshoot the optical layer, and use available tooling.
  • Ability to troubleshoot physical and logical layers, including OTDR traces, insertion loss, BGP sessions, and connectivity through complex topologies.
  • Ability to communicate across technical and non-technical teams, document work, and follow through.
  • Ability to learn new technology and take ownership of ramping up.
  • Ability to travel 50 to 60% to onsite deployments.
  • Ability to work in non-climate-controlled environments, including active construction areas, data halls, electrical and mechanical rooms, and outdoor spaces, where conditions may be hot, cold, humid, loud, or dusty.
  • Ability to lift, carry, push, and pull up to 40 pounds independently.
  • Ability to sit, stand, walk, kneel, bend, and crouch for extended periods, including full shifts on foot.
  • Ability to wear required personal protective equipment, including hard hats, safety glasses, steel-toed boots, gloves, and hearing protection, and follow site safety rules.
  • Ability to climb stairs and ladders and move around equipment, cable trays, and uneven surfaces.

Responsibilities

  • Deploy and validate data center network infrastructure, including front-end, back-end, BMS, and management networks; configure switches, install and validate optics, coordinate cabling, and drive deployments to completion.
  • Ensure physical connectivity meets production standards by coordinating fiber remediation, validating insertion loss and OTDR traces, troubleshooting optical-layer issues, and documenting as-builts.
  • Manage hardware logistics, including device staging, rack and stack coordination, RMA, DCIM updates, inventory, and vendor shipments, so devices are ready for deployments.
  • Partner with DC Operations, ICT, Hardware, and Network Engineering to identify blockers early, escalate decisively, and keep multi-team efforts on track.
  • Maintain cutsheets, as-builts, validation results, and lessons learned, and contribute to the deployment playbook.
  • Provide operational support during and after deployments, including incident response, troubleshooting, and break-fix.

Desired Qualifications

  • AI fabric turn-up experience.
  • Configuration management and automation tooling.
  • Vendor certifications.

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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