Lead Engineer, Yield Analysis
Micron Technology, Inc. (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 30–55 LPA
Posted on 11 Sept
Reach people at Micron Technology, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Micron Technology, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and lead yield performance analysis and improvement efforts within assigned fab modules, including root cause identification and yield pareto development.
- Direct collaboration with process integration and engineering teams to provide data-driven guidance influencing corrective strategies and sustainable yield improvements.
- Lead training, mentorship, and development programs to enhance team capability and manage part type ownership and new part setups.
Minimum Requirements
- Proficiency in module-based data analysis and advanced statistical/data-mining techniques for yield issue quantification.
- Experience with semiconductor manufacturing yield tracking, probe yield performance, and multi-disciplinary team collaboration (PI, PE, EFA, PFA).
- Work Experience Required: Not explicitly mentioned in the JD.
- Ability to develop and automate data extraction using various query languages and scripting.
Ideal Candidate Profile
- Strong background in semiconductor yield analysis, including advanced statistical methods and correlation of electrical/probe data to process insights.
- Experienced in leading cross-functional teams and coaching/mentoring engineers in a complex manufacturing environment.
- Demonstrated ability to integrate AI-assisted tools responsibly to enhance work efficiency and continuous improvement in yield analysis.