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Gimlet Labs

Serverless AI inference platform with orchestration

Data Center Facilities Operations Lead

Facilities ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$150k - $235k /yrRemote

About the Job

Requirements

  • Experience in data center facilities operations, critical facilities engineering, MEP operations, commissioning, or facilities maintenance.
  • Experience operating liquid-cooled, high-density compute infrastructure.
  • Familiarity with facility water systems, cooling distribution units, heat rejection, leak detection, and water-quality controls.
  • Experience using building management systems, data center infrastructure management systems, energy and power management systems, or similar systems to monitor and respond to facility conditions.
  • Ability to create and execute operational procedures with attention to safety and reliability.
  • Experience coordinating across site teams, colocation providers, original equipment manufacturers, and facilities vendors.
  • Ability to work in active data center environments and support urgent facilities escalations.

Responsibilities

  • Build the facilities operations model for current and future sites, including operating standards, escalation paths, maintenance routines, acceptance criteria, and facility readiness gates.
  • Translate original equipment manufacturer and engineering requirements for liquid-cooled platforms into practical site operating envelopes for temperature, flow, pressure, water quality, alarms, and heat rejection.
  • Own monitoring and response for facility-side telemetry, including supply and return water temperatures, delta-T, flow, pressure, leak detection, cooling distribution unit status, cooling capacity margins, and building management system/data center infrastructure management alarms.
  • Partner with colocation providers, facility vendors, original equipment manufacturers, Site Managers, Data Center Technicians, Deployment Leads, and technical program managers to ensure facilities are ready before new compute capacity is deployed.
  • Create and maintain methods of procedure, standard operating procedures, emergency operating procedures, maintenance windows, runbooks, inspection routines, and incident response procedures for critical facilities and liquid cooling operations.
  • Coordinate preventive maintenance, repairs, and vendor response for cooling distribution units, facility water loops, filters, valves, pumps, sensors, leak detection systems, chillers, dry coolers, computer room air handlers, and related infrastructure.
  • Lead facility-side root cause analysis for thermal, leak, power, cooling, monitoring, and environmental events, then drive durable corrective actions.
  • Build reporting that shows facility health, risk, readiness, capacity margin, recurring issues, open repairs, and operational trends across sites.

Desired Qualifications

  • Experience supporting graphics processing unit, high-performance computing, or rack-scale liquid-cooled infrastructure.
  • Experience with commissioning, integrated systems testing, site acceptance, or facility turnover.
  • Familiarity with power distribution, uninterruptible power supply and generator systems, chilled water, dry coolers, computer room air handlers/computer room air conditioning systems, or rear-door heat exchangers.
  • Experience managing colocation obligations, service levels, maintenance windows, and vendor escalations.
  • Track record of improving facility reliability through monitoring, preventive maintenance, and incident analysis.

About the Company

Gimlet Labs

Serverless AI inference platform with orchestration

Gimlet Labs builds an inference cloud platform that runs and manages complex AI agent workloads across heterogeneous hardware, including GPUs and other accelerators. Its software splits AI tasks and routes each part to the most suitable hardware to improve speed while keeping cost and power use the same. The Gimlet Cloud offers serverless inference for building and scaling multi-agent systems, with the platform handling scheduling and hardware-aware optimization, and it can be deployed in the cloud or in customers’ data centers. It is developing kforge, a toolkit that uses AI agents to automatically generate optimized PyTorch kernels for CUDA, ROCm, and Metal. The goal is to make AI inference a practical, scalable infrastructure problem by coordinating diverse compute to improve performance and efficiency for enterprise workloads.

Company size
51-200
Company stage
Series B
Total funding
$392M
Headquarters
San Francisco, CA
Founded
2023

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