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1 день назад

Infrastructure Engineer (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Infrastructure Engineer (AI Infrastructure): Diagnosing and repairing rack-level GPU hardware while developing automation for fleet management, capacity delivery, and maintenance operations with an accent on Linux internals, server provisioning, and hardware reliability. Focus on validating next-generation NVIDIA and AMD hardware, building diagnostic and repair tooling, and solving complex faults across distributed data center operations.

Location: Dublin, Ireland; on-site

Company

hirify.global builds vertically integrated AI infrastructure spanning energy, data center hardware, and cloud services for demanding AI workloads.

What you will do

  • Diagnose and troubleshoot rack-level GPU hardware faults using system logs, kernel logs, and BMC Redfish APIs.
  • Coordinate with Data Center Operations, Hardware Engineering, and Capacity Planning teams to repair failed hardware and deliver upgrades across the fleet.
  • Automate fleet management processes and develop hardware diagnostics, provisioning, and repair tools.
  • Create repeatable processes, documentation, and tooling for hardware issue resolution.
  • Test and validate next-generation AI hardware and servers returned from repair.
  • Participate in an on-call rotation with US teams to provide follow-the-sun coverage.

Requirements

  • Strong analytical, troubleshooting, and problem-solving skills.
  • Solid understanding of Linux internals and confidence working in a terminal.
  • Experience with server-class hardware and provisioning.
  • Fundamental understanding of hardware, firmware, and networking faults.
  • Strong communication and collaboration skills across multiple teams.
  • Bachelor’s degree in Computer Science or a related field, or equivalent self-educated computer science fundamentals.

Nice to have

  • Experience operating GPUs at large scale.
  • Programming proficiency in Python, Go, or a similar language.

Culture & Benefits

  • Work with cutting-edge NVIDIA and AMD GPU infrastructure.
  • Collaborate across energy, manufacturing, data center construction, and cloud services teams.
  • Pension contributions.
  • Private health and dental insurance.
  • Income protection and life assurance.

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