Defectivity Baseline Engineer for Yield & AI Insights

STMicroelectronics

Singapore

On-site

SGD 70,000 - 110,000

Full time

12 days ago
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Job summary

STMicroelectronics in Singapore is seeking a defectivity engineer to identify, analyse OOC lots and defect trends, and drive defectivity baseline improvements. You will work with cross-functional teams on quality and productivity initiatives and may deploy AI-based monitoring with CNN technologies.

The role involves defect characterization, sampling control, and leading problem-solving activities across process, equipment, device, and quality teams.

Qualifications

  • Degree in Material Science, Electrical, Electronics, or related field.
  • Experience in semiconductor wafer fabrication preferred.
  • Knowledge of defectivity methods and defect inspection tools.
  • Fresh graduates may apply.

Responsibilities

  • Identify and analyze OOC lots and defect data to drive yield improvement.
  • Characterize defects and determine root sources.
  • Set up and maintain defectivity sampling and control limits.
  • Lead cross-functional problem-solving teams.

Skills

Defectivity analysis
Cross-functional teamwork
Data mining
Problem solving

Education

Degree in Materials Science / Electrical / Electronics / Microelectronics

Tools

Klarity Defects
AceXP
Space
Spotfire
CNN (Deep Learning)

Job description

STMicroelectronics in Singapore is seeking a defectivity engineer to identify, analyse OOC lots and defect trends, and drive defectivity baseline improvements. You will work with cross-functional teams on quality and productivity initiatives and may deploy AI-based monitoring with CNN technologies.

The role involves defect characterization, sampling control, and leading problem-solving activities across process, equipment, device, and quality teams.

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