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1 день назад

System Failure Analysis Engineer (LiDAR)

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

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TL;DR

System Failure Analysis Engineer (LiDAR): Leading end-to-end investigations into complex product and manufacturing failures with an accent on multidisciplinary debugging and root-cause identification. Focus on reproducing failures in laboratory settings and collaborating with R&D and Manufacturing to implement corrective actions.

Location: Rosh Ha'Ayin, Israel (Onsite)

Company

hirify.global is a global leader in LiDAR technology, providing solutions for automotive, defense, robotics, and aerial applications.

What you will do

  • Lead end-to-end investigations of system and production failures from initial symptom to root-cause identification and closure.
  • Perform hands-on debugging and failure reproduction in laboratory and production environments.
  • Analyze failures across multidisciplinary domains, including hardware, software, firmware, mechanics, and optics.
  • Collaborate with R&D, Quality, and Manufacturing teams to define and implement effective corrective actions.
  • Analyze production and test data to identify recurring failure trends and yield issues.
  • Prepare detailed technical reports and present investigation findings to stakeholders.

Requirements

  • B.Sc. in Electrical Engineering, Electronics, Mechanical Engineering, or a related technical field.
  • 4+ years of experience in failure analysis, system debugging, electronics laboratory work, or production engineering.
  • Proficiency with standard laboratory equipment such as oscilloscopes, power supplies, multimeters, and logic analyzers.
  • Basic programming or scripting capabilities, preferably in Python.
  • Strong communication skills in English and Hebrew.
  • Must be based in or able to work onsite in Rosh Ha'Ayin, Israel.

Nice to have

  • Experience in manufacturing, NPI, or mass-production environments.
  • Experience with optical, electro-mechanical, or embedded systems.
  • Familiarity with Linux, SQL, or automated test equipment.
  • Knowledge of structured root-cause methodologies such as 8D, DOE, or 5 Whys.
  • Experience leading technical investigations or multidisciplinary task forces.

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