Transform how the world uses information to enrich life for all by innovating memory and storage solutions that accelerate the transformation of information into intelligence
Requirements
- Master's Degree in Electrical, Materials Science, & Microelectronics Engineering or Bachelor’s Degree and relevant semiconductor manufacturing or testing experience
- Coursework in semiconductor device physics and/or fabrication
- Good understanding of CMOS reliability failure models and basic understanding of DRAM or FLASH memory component's reliability
- Basic coursework or understanding in statistics, probability theory, and machine learning
- Good skills in using Python for Data Analysis, Visualization, and Machine Learning
- Preferred some skills in developing Web APIs to deploy Machine Learning models
Responsibilities
- Notify and communicate with GQ engineers and probe production on actions needed to release Quality and Reliability Assurance (QRA) material holds at probe
- Use data analysis tools to extract data, analyze holds for SBL, recommend and execute disposition
- Develop QA dashboards and/or automated reports using R/Python/Tableau
- Develop machine learning models with interactive web API dashboards, and also predict wafer/die level quality prior to electrical testing and customer shipments
- Automate product dispositions and risk assessment quality reports
- Lead and/or support global projects to deploy and improve Quality systems and business processes
- Support new Micron facilities in ID1 Boise with central QA systems setup
Other
- Good oral and verbal communication skills and ability to innovate and collaborate in a team environment
- Master's Degree in Electrical, Materials Science, & Microelectronics Engineering or Bachelor’s Degree and relevant semiconductor manufacturing or testing experience
