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Radiant

Operates sovereign AI infrastructure and compute

Datacentre Operations Engineer

System AdministrationUpdated on Nov 14
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • A degree in Computer Science or Electrical Engineering, or 5+ years of directly relevant data centre operations experience.
  • At least 3 years of experience in data centre operations, HPC, or related roles.
  • Hands-on experience with HPC/NVIDIA GPU platforms or equivalent high-density compute systems, high-performance storage, and networking.
  • Practical knowledge of high-density air cooling systems, including CRAC/CRAH operation, airflow and thermal monitoring, containment management, and associated maintenance, or strong related cooling infrastructure experience.
  • Experience with, or demonstrable willingness and aptitude to train on, ultra-high-density compute platforms such as NVIDIA B300, busbar-based power distribution, or equivalent systems.
  • Experience managing compute at massive scale.
  • Ability to operate a newly onboarded OEM hardware platform and transfer knowledge from other high-density GPU/HPC OEM systems to ramp up quickly without direct prior exposure to this vendor.
  • Familiarity with structured break/fix practices for complex hardware platforms, including module-level component exchange and firmware fault isolation.
  • Expertise in hardware installation, network configuration, and low-level system maintenance, including firmware management.
  • Knowledge of data centre environment technologies, including cooling and high-density power distribution.
  • Understanding of capacity management principles covering power, space, and cooling tracking.
  • Strong understanding of hardware and spares management and ability to handle RMAs within defined SLOs.
  • Understanding of HPC and AI workloads at a high level.
  • Strong problem-solving abilities and resilience in a fast-paced environment.
  • Strong grasp of ITSM and service operation best practices.
  • Strong communication skills in English and ability to collaborate with cross-functional, internationally dispersed teams.
  • Ability to interface with internal stakeholders and external customers.
  • Willingness to cross-train and upskill in Infrastructure/Platform SRE practices.
  • Willingness to travel across EMEA to support future data centre onboarding and train in new technologies.

Responsibilities

  • Diagnose and resolve hardware and network issues to maximise uptime, using structured fault-isolation methodologies for rapid resolution.
  • Respond to critical hardware alerts through the monitoring and observability platform, and contribute to service improvements that enhance monitoring capability and alert quality.
  • Deploy and maintain HPC and AI hardware, including troubleshooting, firmware updates, and component replacement.
  • Execute break/fix procedures for advanced hardware platforms, including GPU module exchange, component-level fault isolation, and firmware-level diagnostics.
  • Execute or support break/fix operations on ultra-high-density compute systems, including NVIDIA B300-class chassis or equivalent platforms, GPU/fan module exchange, chassis-level fault isolation, and busbar connection/disconnection under Lead direction while qualification is in progress.
  • Operate, monitor, and maintain high-density air cooling infrastructure with the data centre partner, including CRAC/CRAH units, in-row and containment cooling, and airflow management systems.
  • Facilitate routine and corrective air-cooling-system maintenance with the data centre partner, including monitoring supply/return temperatures and airflow rates, maintaining hot-aisle/cold-aisle containment and blanking, and performing scheduled filter and component inspections.
  • Follow and contribute to SOPs for safe work around high-density, air-cooled compute platforms.
  • Monitor thermal performance and raise anomalies before they escalate into incidents.
  • Maintain accurate records of site-level power, space, and cooling utilisation, and support capacity planning with accurate as-built data and infrastructure-change reporting to the Lead and relevant teams.
  • Manage on-the-ground assets from purchase and delivery through lifecycle management and disposal, maintaining asset records in Radiant's CMDB system.
  • Handle RMAs and support requests within Radiant's SLOs to meet customer contract SLAs.
  • Contribute to ongoing maintenance, foster compliance, and leverage vendor partnerships.
  • Operate cooling, power distribution (including busbar and PDU infrastructure), and other critical data centre technologies to maintain operational standards.
  • Develop and maintain data centre and hardware management SOPs, aligning them with Radiant's governance and compliance requirements.
  • Apply ITSM frameworks for incident, major incident, change management, and service improvement.
  • Provide 24x7x365 production support as part of a structured on-site shift rotation, working 12-hour shifts in a four-team pattern with two engineers on shift at all times to meet customer SLAs.
  • Prioritise and triage incident and smart-hands workload to maintain SLA coverage with a small on-the-ground team.
  • Contribute to incident postmortem analyses and root-cause analysis, document learnings, and automate remediations.
  • Communicate technical decisions clearly to stakeholders and customers.
  • Champion a do, document, automate approach.

Desired Qualifications

  • Vendor-endorsed qualifications from NVIDIA or equivalent OEMs for high-density, air-cooled AI compute systems.
  • Knowledge of large-scale private cloud deployments and capacity planning.
  • Qualifications in HVAC management and deployments.
  • Certifications in relevant hardware or networking areas.
  • ITIL Foundation-level qualification or equivalent experience.

About the Company

Radiant

Operates sovereign AI infrastructure and compute

Radiant builds and operates utility-scale AI infrastructure to provide sovereign AI cloud compute using its own powered data centers, long-term capital, and proprietary software. It runs AI factories for governments, enterprises, and telecom providers, enabling rapid, scalable AI workloads with resilience and energy efficiency. After merging with Ori Industries, it integrates distributed AI software directly with hardware to form a global AI utility that lowers energy costs and reduces dependence on centralized cloud providers. The goal is to securely deliver scalable AI compute across distributed locations as a global AI utility for governments, enterprises, and telecoms.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2026

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