1 день назад
Infrastructure Engineer (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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