ainetworkinghardwarestartupgpudata center operationscablingfiber optics
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности описаны чётко, а работа связана с AI-инфраструктурой высокой плотности, но широкий круг задач и смены в режиме 24/7 могут подойти не всем.
Сменный график
Инфраструктура для AI
Понятные задачи
?Широкий круг задач
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Center Technician (AI Infrastructure) (Data Center Operations): Maintaining high-density GPU infrastructure through server installation, hardware break/fix, rack builds, and copper and fibre cabling with an accent on link-level troubleshooting and physical infrastructure. Focus on replacing critical server components, isolating network link failures, and independently handling 24/7 on-site shift operations.
hirify.global is building a full-stack AI cloud spanning data centers, hardware, and a cloud platform used by AI teams.
What you will do
Replace failed hardware components, including drives, fans, PSUs, motherboards, and CPUs.
Rack and stack servers, switches, and supporting equipment for deployments and expansions.
Install, route, and terminate copper and fibre cabling.
Troubleshoot link-level network faults through cable and transceiver testing and failure isolation.
Handle general site operations across hardware, cabling, and physical infrastructure.
Requirements
Hands-on data center operations experience or comparable operations experience in a critical environment.
Hardware competency in break/fix, component replacement, and rack and stack work.
Link-level networking experience with cable and fibre installation, fibre optics, and link troubleshooting; device configuration is not expected.
Operational discipline: stop and escalate when unsure rather than improvising.
Ability and willingness to work on-site in a shift rotation covering 24/7 operations.
Ability to work independently on routine tasks, recognize when to escalate, and operate comfortably with ambiguity and a broad scope.
Nice to have
Experience with liquid cooling, including DLC loops.
Hands-on exposure to enterprise GPU servers, including NVIDIA Ampere, Hopper, or Blackwell generations, or switch integration.
Experience across more than one operational environment.
Experience contributing to cluster deployments or data hall build-outs as a hands-on technician.
Culture & Benefits
Full-time, permanent employment.
Cash and equity compensation with local benefits.
Work alongside engineers, researchers, and partners across the global AI ecosystem.
Hiring process
Apply through the Careers page; applications sent by email are not accepted.
Applications are reviewed without an artificial deadline and hiring proceeds when a suitable candidate is found.
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