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UTAC

Failure Analysis Engineer (Rotating 12-Hour Shift)

UTAC

Singapore · 全职

抢先申请

经验
2年以上
薪水
职位空缺
1
发布
5小时前
工作模式
在办公室
学历
Degree in Materials Science or Engineering
恢复
需要申请

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职位描述

Job Overview

This role involves conducting thorough failure analyses on a variety of samples including customer returns, production rejects, reliability failures, and research & development specimens. The position requires identifying failure modes and underlying causes through detailed investigation and reporting findings clearly within agreed deadlines.

Key Duties

  • Execute analysis for returned, rejected, and failed samples to determine causes.
  • Identify failure mechanisms and root causes by detailed examination.
  • Produce accurate, comprehensive failure analysis reports within set timeframes.
  • Advise teams on appropriate failure analysis methods and ensure evaluation of all possible failure modes.
  • Work collaboratively with cross-functional teams to support readiness for failure analysis in new packaging technologies.
  • Develop and refine failure analysis techniques, capabilities, and laboratory processes for improved efficiency and detection accuracy.
  • Provide training on failure analysis practices and contribute to continuous improvement efforts.
  • Lead initiatives to reduce costs and enhance key performance indicators related to failure analysis.
  • Ensure adherence to safety protocols and 5S standards within the Quality Assurance Laboratory including equipment audits.
  • Manage ISO/ISM documentation and supervise operations in the QA Decapsulation Room.

Candidate Requirements

  • A bachelor's degree in Materials Science, Electrical Engineering, Electronics Engineering, or a related field.
  • At least two years of relevant work experience in failure analysis or reliability engineering.
  • Strong analytical capabilities related to failure and reliability evaluation.
  • Familiarity with semiconductor failure mechanisms, final testing procedures, and manufacturing fundamentals.
  • Experience with tools and methodologies such as FMEA, Statistical Process Control, and Design of Experiments.
  • Good knowledge of manufacturing processes, quality management systems, and workplace safety and health practices.

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