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7 дней назад

Hardware Support Engineer (Robotics AI)

135 000 - 155 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Hardware Support Engineer (Robotics AI): Preparing and maintaining capture devices used for robotics and embodied AI data collection with an accent on hardware-software troubleshooting, Linux diagnostics, and fleet readiness. Focus on isolating faults, validating repairs and updates, and building scripts and procedures that reduce device downtime across operators and locations.

Location: On-site in Toronto GTA, Canada, or New York, United States

Salary: CA$135K–CA$155K per year, with equity offers; compensation may vary by hiring location.

Company

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

What you will do

  • Own device issues from initial reports through diagnosis, repair or recovery, and readiness verification.
  • Troubleshoot cameras, peripherals, Linux software, storage, networking, and data transfers using logs, measurements, and physical testing.
  • Prepare and validate devices for deployment through configuration, software updates, recording checks, and return inspections.
  • Support operators and partners with technical guidance, reproduce defects, and collaborate with engineering teams on resolution.
  • Write diagnostic scripts and troubleshooting procedures to accelerate recurring issue resolution.
  • Track fleet failures, verify corrective actions, and improve device readiness checks.

Requirements

  • 3–4 years of hands-on experience troubleshooting hardware-software devices such as embedded systems, cameras, robotics, or connected equipment.
  • Practical Linux skills covering command-line tools, logs, processes, services, filesystems, and network diagnostics.
  • Python or shell scripting experience for diagnostics, device checks, and operational automation.
  • Ability to isolate faults through repeatable tests and distinguish hardware, software, configuration, and operator issues.
  • Experience validating devices after repairs, configuration changes, or software updates.
  • Experience with distributed device fleets, recording failures, electronics troubleshooting, component replacement, or repair qualification.

Culture & Benefits

  • On-site work supporting real-world robotics and embodied AI deployments.
  • Compensation includes base salary, potential on-target incentives, equity, health and wellness benefits, and other company programs.
  • Inclusive hiring practices and accommodations throughout the interview process.
  • AI may support recruitment administration, while candidate evaluation and hiring decisions remain human-led.

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