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2 months ago

Design Manager (AI Infrastructure)

Work format
onsite
Work type
fulltime
Grade
middle/senior
English
c1
Country
Norway
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Design Manager (AI Infrastructure): Overseeing the design process for high-performance data center facilities with an accent on MEP systems, high-density power, and liquid cooling solutions. Focus on managing the full lifecycle of infrastructure delivery, ensuring technical compliance, and coordinating cross-functional teams to support rapidly evolving AI compute needs.

Location: Must be based on-site in Narvik, Norway

Company

Nscale is building sovereign generative AI infrastructure, developing high-performance, sustainable data centers and GPU clusters to power the next decade of AI innovation.

What you will do

  • Manage the full design lifecycle from concept development through construction drawings for AI-focused data centers.
  • Review design packages for code compliance, constructability, and performance to mitigate project risks.
  • Collaborate with internal stakeholders and external consultants to align design with business objectives.
  • Coordinate permitting processes with local authorities and consultants.
  • Adapt facility designs to accommodate advanced compute clusters, high-power electrical infrastructure, and liquid cooling.
  • Maintain project schedules and documentation workflows using BIM and cloud-based collaboration tools.

Requirements

  • Must be based on-site in Narvik, Norway.
  • Proven experience as a Design Manager in data center, mission-critical, or high-performance computing projects.
  • Deep technical knowledge of MEP systems, high-density power, and infrastructure for AI compute.
  • English fluency required; Norwegian proficiency is preferred.
  • Proficiency with Procore, Revit, Navisworks, and BIM-based workflows.
  • Ability to work in a flexible, proactive startup environment.

Culture & Benefits

  • Opportunity to play a key role in delivering transformative AI infrastructure.
  • Collaborative team environment working across diverse internal and external stakeholders.
  • Exposure to world-class technology providers and cutting-edge AI compute architecture.
  • Focus on building sustainable, high-efficiency operations for the future of AI.

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