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Gimlet Labs

Serverless AI inference platform with orchestration

Data Center Architect

Architecture & Civil EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$225k - $280k /yrIn-person

About the Job

Requirements

  • Owned data center white-space designs from initial requirements through installation handoff.
  • Ability to produce floor plans and rack layouts balancing equipment density, serviceability, containment, cabling, power, cooling, and future growth.
  • Ability to interpret electrical and mechanical drawings, translate equipment specifications into infrastructure requirements, and work with specialists to identify and resolve capacity gaps.
  • Understanding of high-density deployment constraints within colocation facilities, including equipment access, cable management, and ongoing operations.
  • Understanding of data center network layers sufficient to plan equipment placement, physical connectivity, fiber pathways, and resilience; detailed routing-protocol design and switch-configuration expertise are not required.
  • Ability to author and review layouts using AutoCAD, Bluebeam, or equivalent tools, and maintain equipment schedules, design requirements, and revision records.
  • Ability to make design tradeoffs across capacity, reliability, serviceability, cost, and growth, and communicate decisions to providers, engineers, and installation teams.

Responsibilities

  • Own white-space floor plans and rack layouts, including equipment placement, aisle widths, service clearances, containment, cable pathways, and expansion space; confirm access and floor-loading constraints with providers and maintain reusable layout standards.
  • Translate equipment specifications into rack-level and aggregate information technology power and cooling requirements; verify that provider capacity, redundancy, and connection points support deployment; coordinate cooling equipment placement and distribution routes with specialists.
  • Define network equipment placement, physical connections between rack groups and network layers, fiber routes, patching locations, and redundant pathways; partner with network engineering to align designs with capacity requirements and detailed logical network design.
  • Deliver coordinated floor plans, rack layouts, connectivity drawings, equipment schedules, and power and cooling requirements; review design changes, resolve installation questions, and maintain drawings reflecting the installed configuration.
  • Approve data hall designs, resolve tradeoffs within the role’s scope, and establish repeatable standards across the global portfolio.
  • Work with compute and network engineers, facilities teams, colocation providers, and deployment teams to resolve issues before installation begins.
  • Contribute to consultant reviews, requests for proposals, cost reviews, and commissioning related to data hall design.

Desired Qualifications

  • Experience with high-density artificial intelligence or high-performance computing infrastructure, graphics processing unit racks, or heterogeneous compute platforms.
  • Experience with direct-to-chip liquid cooling, cooling distribution units, facility water interfaces, or hybrid air- and liquid-cooled deployments.
  • Experience evaluating colocation sites and aligning customer equipment requirements with provider electrical and mechanical infrastructure.
  • Experience with Revit or other building information modeling tools, data center infrastructure management systems, and capacity-planning tools.
  • Familiarity with TIA-942, BICSI, and ASHRAE guidance, and experience coordinating applicable code requirements with qualified design professionals.

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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