Yield Enhancement DRAM DA
Job in
Boise, Ada County, Idaho, 83757, USA
Listed on 2026-10-09
Listing for:
Micron
Full Time
position Listed on 2026-10-09
Job specializations:
-
Engineering
Process Engineer, Electronics Engineer, Manufacturing Engineer, Electrical Engineering
Job Description & How to Apply Below
Micron research and development has an opening for Yield Analysis (DA) engineer to develop our next generation memory solution and to support production transfer for the next generation Micron products. As a DA engineer you will be responsible to characterize electrical data to identify and source out extrinsic and intrinsic device issues that are impacting yield. You will work closely with cross functional team from R&D and manufacturing to accelerate product to market timeline by applying device physics knowledge to develop end of line device performance prediction using machine learning.
We need engineers who are passionate about detecting problems, making changes for the better, and seek out innovative ways in how predict end of line device performance.
Your responsibilities will include, but are not limited to the following:
Analyze end of line test, parametric and fab data to identify design, process, and test issues that are impacting yield
Develop new tools for yield analysis and implement machine learning technique to improve analysis efficiency and accuracy, leveraging artificial intelligence (AI) to improveproficiency.
Identify new creative and innovative ways to use existing tools to identify relevant process issues or device failures
Identify interactions between process modules and/or equipment to detect fail mechanisms
Use the data collected inline to drive process improvements
Improve yield by standardizing methods and procedures to promote consistent, comparable and repeatable processes
Lead or participate in multi-area focus teams to troubleshoot complex yield issues
Providing feedback on design and process issues that are limiting device functionality and help the R&D team driving resolution to existing issues
Publish and present reports on analysis of process experiments
Support transfer of new part from R&D site to manufacturing site Successful candidates for this position will have:
Bachelor with 5 year industrial experience in related semiconductor field, or MS or PhD or in Engineering or related Semiconductor field.
Good understanding of semiconductor processing
Demonstrated expertise in CMOS operation and understanding on memory cell operation
The ability to effectively extract, analyze, and report data Strong communication skills (written, verbal and presentation)
The ability to communicate complex analysis in a succinct and actionable manner
The ability to be detailed oriented and follow complex procedures
Continuous improvement process (CIP) mentality, looking for ways to improve measurement accuracy and end of line yield predictions
Demonstrated statistical analysis skills
Programming skills, including JavaScript, Python, R, and SQLThe ability to work effectively in a team environment and with little supervision
The ability to continuously learn and self-improve
The ability to lead and coordinate discussion forum of cross-functional teams
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.
Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on is proud to be an equal opportunity workplace and is an affirmative action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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