Micron Technology is looking to improve the quality and efficiency of semiconductor manufacturing by using advanced software, machine learning, and data analytics to identify defect patterns and develop tools that enhance yield across all Micron products.
Requirements
- Strong skills in machine learning and machine vision
- Knowledge of electrical engineering and semiconductor fundamentals
- Proficiency in at least one programming language
- Experience in software development for engineering applications
- Familiarity with defect analysis tools and semiconductor manufacturing processes
Responsibilities
- Design new methods to detect fails during semiconductor manufacturing
- Develop and optimize tools for defect detection used by multiple engineering teams
- Find opportunities to use ESDA data for yield and reliability improvements
- Gain familiarity with Micron’s ESDA ecosystem and contribute to its expansion
- Apply machine learning and machine vision techniques to improve defect analysis
Other
- Currently pursuing a PhD or equivalent experience in Data Science or a related field with expected graduation in or after 2026
- Excellent problem-solving and analytical skills
- Strong communication skills for presenting complex technical concepts
- Ability to work independently and collaboratively in a technical environment
- Interest in applying AI to manufacturing and yield improvement challenges
