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QA Engineer

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日期: 2022/5/11

地點: Tainan City, TW, 741

公司: Corning

Requisition Number:50265 

 

Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

 

Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.

 

Corning’s Display Technologies segment manufactures glass substrates for active matrix liquid crystal displays (“LCDs”) that are used primarily in LCD televisions, notebook computers and flat panel desktop monitors.

 

 

 

Day to Day Responsibilities:

  • Daily track product quality performance and conducts quality risk assessment for quality issues.
  • Quality risky lots management with containment actions for internal/external quality issues.
  • Create process quality monitoring system for error detection early and trigger containment actions.
  • Create FMEA/QC plan for QA inspection/measurement process
  • Initiate various data analysis to identify correlation between quality outputs and process inputs for risk assessment.
  • Support Account QA to deal with customer complaint issues and work out preventive actions.
  • Conduct routine audit to shop floor for process quality assurance.
  • Benchmark Quality Control with sister plants and migrate best practice.
  • Join EEP/Experiments with Engineering group.
  • Conduct DMAIC Projects for continuous quality improvement.
  • Conduct qualification for new line, new equipment or line retrofit.
  • Join audit for external/internal ISO system, IATF 16949 and customer annual audit.

 

Education & Experience:

  • B.S or above degree in Engineering or math/statistic relative major
  • At least 1 year working experience about QA, process engineering or data transformation related would be a plus.
  • Well computer skill in PowerPoint, Excel, Access VBA, Power BI.
  • Statistic tool: Minitab/SAS/SPSS, etc.
  • Preferred programming: R, Python, SQL, VBA, Java/C#, etc.
  • Strongly in data analysis/ Statistical using skill are prefer, such as SPC, QC Story and Quality relative tools.
  • Problem solving skill and methodology, such as KT.
  • Familiar with Data Mining and Data Transformation