NAND Yield Analytics Engineer — Cross-Functional Impact

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 120,000 - 180,000

Full time

2 days ago
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Job summary

Micron Technology, Inc. in Singapore seeks a Yield Analysis Engineer for NAND Technology to lead data-driven yield improvement initiatives.

You will collaborate with process, yield, failure analysis, product engineering, design, and layout teams to tackle yield challenges across tech-nodes and designs. You will perform inline and non-standard deep-dive statistical analyses, quantify progress toward program goals, and drive actions to enhance yield, quality, and reliability while meeting

Qualifications

  • Bachelor or Master level degree in Electrical & Electronics Engineering or Materials Science.

Responsibilities

  • Identify yield issues in NAND development using metrics and data-driven approaches.
  • Collaborate with process, yield, FA, product engineering, design and layout teams to define yield issues and improvement actions.
  • Perform deep-dive statistical analyses on inline, probe, cell, and other metrics to improve yield and quality.
  • Quantify progress toward program goals and drive data-driven yield improvements.
  • Conduct data mining and correlation studies; initiate fault analysis and inline predictions to yield issues.
  • Develop and implement inline detection with metrology and RDA teams.
  • Support transfer of technology from R&D to manufacturing, integrating AI-assisted insights.

Skills

Data analytics
Yield analysis
Scripting
Data mining

Education

Bachelor/Master in Electrical and Electronics Engineering or Materials Science

Tools

SQL
Python
AI-assisted tools

Job description

Micron Technology, Inc. in Singapore seeks a Yield Analysis Engineer for NAND Technology to lead data-driven yield improvement initiatives.

You will collaborate with process, yield, failure analysis, product engineering, design, and layout teams to tackle yield challenges across tech-nodes and designs. You will perform inline and non-standard deep-dive statistical analyses, quantify progress toward program goals, and drive actions to enhance yield, quality, and reliability while meeting

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