System Failure Analysis Engineer (LiDAR)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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