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Nscale

Develops and operates AI data centers

Infrastructure Operations Manager

IT OperationsConfirmed live in the last 24 hours
Full-timeNorwayNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 5 years of experience managing data centers, particularly in high-performance computing and GPU environments.
  • Proven leadership skills and experience managing and developing teams.
  • Technical expertise in high-performance computing, GPU deployment, and associated hardware and software solutions.
  • Strong understanding of data center power, cooling, and environmental systems.
  • Client-facing communication and reporting skills.
  • Experience with inventory and spare parts management.
  • Ability to work on-site at the data center, participate in an on-call rotation, and travel occasionally to other locations as required.
  • Commitment to continuous learning to stay current with evolving technologies and standards.

Responsibilities

  • Take overall responsibility for devices and infrastructure in the AI data center, ensuring operational excellence, personnel oversight, infrastructure maintenance, and compliance with client-driven service-level agreement and key performance indicator requirements.
  • Maintain accountability for all devices, systems, and infrastructure at the data center.
  • Ensure 24/7 operational reliability and optimal performance for high-performance AI workloads.
  • Monitor and manage power, cooling, and environmental conditions, and proactively address operational risks.
  • Oversee installation, configuration, and maintenance of high-performance computing and GPU systems.
  • Lead and mentor a team of engineers, technicians, and support staff.
  • Provide training and guidance to junior staff so the team can manage site operations effectively.
  • Plan and manage shift schedules to ensure continuous coverage and on-call availability.
  • Serve as the primary point of contact for clients and provide regular reporting on site service-level agreements and key performance indicators.
  • Collaborate with vendors and contractors to manage procurement, repairs, and upgrades.
  • Build and maintain relationships that support smooth operations and project delivery.
  • Manage spare parts inventory and maintain sufficient stock to minimize downtime during repairs or upgrades.
  • Track inventory usage and coordinate procurement to avoid supply shortages.
  • Maintain working knowledge of high-performance computing and GPU installations, including hardware configuration, network architecture, and performance optimization.
  • Troubleshoot and resolve technical issues, escalating complex problems when necessary.
  • Stay updated on emerging trends and technologies in AI and high-performance computing infrastructure.
  • Implement and manage tools to monitor data center performance and resource utilization.
  • Prepare reports for senior management and clients on performance metrics, downtime, and operational efficiency.
  • Propose and implement improvements to enhance reliability, scalability, and cost-effectiveness.

Desired Qualifications

  • Certifications in data center management, such as CDCP, CDCS, or similar.
  • Hands-on experience with NVIDIA GPUs, CUDA, and AI frameworks.
  • Familiarity with hybrid cloud and high-performance computing environments.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$9.8B
Headquarters
London, United Kingdom
Founded
2024

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