NTI Yield Analysis Engineer
1 week ago
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 ResponsibilitiesAs 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.
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.
Bachelor's, Master's, or Ph.D. in Electrical Engineering, Microelectronics, Data Science, Computer Science, or related field.
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