Yield Enhancement DRAM DA

Micron Technology • Boise, ID

6d

About The Position

Micron Technology is a world leader in innovating memory and storage solutions. Micron research and development has an opening for a 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 for characterizing electrical data to identify and source out extrinsic and intrinsic device issues that are impacting yield. You will work closely with a cross-functional team from R&D and manufacturing to accelerate product to market timelines 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 to predict end-of-line device performance.

Requirements

• Bachelor with 5 year industrial experience in related semiconductor field, or MS or PhD in Engineering or related Semiconductor field.
• Good understanding of semiconductor processing
• Demonstrated expertise in CMOS operation and understanding of 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 SQL
• The 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 forums of cross-functional teams

Responsibilities

• 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 techniques to improve analysis efficiency and accuracy, leveraging artificial intelligence (AI) to improve proficiency.
• 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

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level