NTI Yield Analysis Engineer

1 week ago


Singapur, Singapore Micron Full time
Transforming Information for a Better World

At Micron, we're passionate about harnessing the power of information to enrich life for all. As a key member of our team, you'll play a vital role in driving innovation and excellence in our semiconductor solutions.

Your Responsibilities

As an NTI Yield Analysis Engineer, you'll be responsible for:

  • Identifying yield issues in NAND development and developing unique metrics to quantify them.
  • Collaborating with cross-functional teams to drive clear definition of yield, cell, CMOS, and reliability issues.
  • Conducting deep dive statistical analysis to define issues, enable early inline detection, and improve product yield and quality.
  • Initiating data mining and correlation studies to identify root causes of yield issues.
  • Developing and refining inline detection methods in collaboration with metrology and RDA teams.
  • Identifying and defining gaps in current test and co-developing unique parametric/probe bins to detect new fail modes.
  • Collaborating with module owners to identify and address key module deficiencies and technology gaps.
  • Developing and innovating techniques to extract data from different databases and automate through scripting.
  • Assisting in the transfer documentation of layout/architecture fundamentals of new technology from R&D to manufacturing fab.
Requirements

To succeed in this role, you'll need:

  • Minimum 3-5 years of experience in the semiconductor industry in Process Integration, Yield Enhancement, Failure Analysis, Data Science, or Unit Process.
  • Ability to develop a strong holistic understanding of PI module on new NAND technologies and related structural & electrical fail mechanisms.
  • In-depth knowledge and direct experience with nonvolatile memories, process flow, and common yield & reliability issues.
  • Curiosity and natural tendency to learn new things independently.
  • Exposure to R&D and transfer/manufacturing is desirable.
  • Deep understanding of layout and architecture of NAND product.
  • Fluency in Python, JavaScript, C, or C++ is desirable.
  • Ability to work in a demanding and dynamic environment and drive cross-functional teams to achieve goals.
  • Solid analysis, communication, and reporting abilities with demonstrated presentation abilities.
  • Ability to travel for extended periods for collaborative R&D work.
Education

Bachelor's, Master's, or Ph.D. in Electrical Engineering, Microelectronics, Data Science, Computer Science, or related field.



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