Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Senior Engineer, Yield Analysis, NTI at Micron Technology

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Yield Analysis, Root Cause Analysis, Collaboration, Data Extraction, Scripting, Documentation, Electrical Engineering, Material Science, NAND Development, Probe Failure Mechanism, Python, JavaScript, C, C++

Industry

Semiconductor Manufacturing

Description

Your responsibilities will include, but are not limited to, the following: Initiate data mining and correlation study on new issue seen. Initiate PFA request to identify root cause of yield issue. Perform inline correlation study to establish inline prediction to yield issue. Collaborate with module owners to identify, quantify key module deficiencies/technology gaps, and drive cross-functional teams to address. Develop and innovate techniques in extracting data from different databases through various query languages and automate through scripting to improve work efficiency Assist and support the transfer documentation of layout/architecture fundamentals of new technology from R&D to manufacturing fab. A Bachelor Degree or Masters in Electrical and Electronics Engineering, Material Science 5 - 7 years of experience within FA, Yield analysis or Yield Enhancement Discover yield issues in NAND development and identify unique metric or combination of metrics, such as wafer/dice/tile shading, ECATS or other custom metric for issues quantification Deep understanding of probe failure mechanism, ability to do electrical bench data collection is desirable Fluency in Python, JavaScript, C or C++

Responsibilities

The role involves initiating data mining and correlation studies on yield issues, as well as collaborating with module owners to address deficiencies. Additionally, the engineer will develop techniques for data extraction and support documentation transfer from R&D to manufacturing.