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11 часов назад

Device Repair / Maintenance Technician

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
China
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
Device Repair / Maintenance Technician (electronics and robotics hardware): Diagnosing, repairing, refurbishing, and functionally retesting returned robotics devices with an accent on component-level repair, soldering, and accurate failure documentation. Focus on meeting repair throughput targets, identifying recurring failure modes, and feeding repair data into reliability and testing systems.

Location: On-site in Shenzhen, China

Company

hirify.global builds data infrastructure for robotics and embodied AI, including data capture, labeling, and hardware-enabled workflows.

What you will do

  • Diagnose, repair, and refurbish returned or failed devices through component swaps, disassembly, reassembly, and retesting.
  • Meet repair throughput and turnaround targets so devices return to the field on a predictable cycle.
  • Record failure modes and repair actions accurately as input for failure analysis and reliability systems.
  • Run basic functional tests on repaired units before deployment.

Requirements

  • At least 1 year of hands-on electronics or hardware repair experience.
  • Practical experience with soldering, small-assembly disassembly and reassembly, and component-level work.
  • Careful and consistent documentation habits, treating repair logs as data.
  • Comfort following test and repair procedures and flagging recurring issues.
  • Mandarin proficiency and on-site availability in China are required.

Nice to have

  • Experience repairing consumer electronics, cameras, or wearables at volume.
  • Familiarity with test fixtures and basic diagnostic tools.

Culture & Benefits

  • High standards for technical quality and execution.
  • First-principles reasoning and evidence-based decision-making.
  • Fast iteration, urgency, and end-to-end ownership of outcomes.
  • High-intensity environment focused on robotics and embodied AI infrastructure.

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