Yield Enhancement DRAM DA

Micron Technology, Inc.; Boise (ID); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Paid time off

Paid holidays

Family leave

Job summary

Micron Technology, Inc. is seeking a Yield Analysis (DA) engineer to characterize electrical data, identify issues, and drive end-of-line yield improvements.

You will work with R&D and manufacturing to accelerate product transfer, applying device physics and ML to predict performance and optimize processes. The role requires a strong data analysis background, experience with CMOS memory, and programming skills in Python, R, SQL, and JavaScript.

Qualifications

• Bachelor level degree in engineering or related semiconductor field; 5+ years industrial experience
• Strong understanding of semiconductor processing and CMOS operation
• Experience extracting, analyzing, and reporting data clearly
• Excellent written and verbal communication; presentation skills
• Ability to communicate complex analyses succinctly and drive actions
• CIP mindset with focus on measurement accuracy and yield predictions
• Demonstrated statistical analysis skills; data-driven approach
• Programming skills in Python, R, SQL and JavaScript; cross-functional teamwork

Responsibilities

• Analyze end-of-line test, parametric and fab data to identify yield issues
• Develop tools for yield analysis and apply ML to improve accuracy
• Identify new ways to use existing tools to detect process issues
• Study interactions between process modules/equipment to detect failure mechanisms
• Use inline data to drive process improvements and standardize methods
• Lead cross-functional focus teams to troubleshoot yield problems
• Provide feedback to R&D on design/process limitations
• Publish and present reports on process experiments
• Support transfer of new parts from R&D to manufacturing

Skills

Data analysis

Machine learning

Python

R

SQL

JavaScript

Communication

Teamwork

Self-learning

Education

Bachelor's degree in Engineering or related Semiconductor field

MS or PhD in Engineering or related Semiconductor field

Tools

Python

R

SQL

JavaScript

Job description

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

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.

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 technique 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

Requirements

• 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 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 forum of cross-functional teams

Job Profile(s)

Semiconductor Process Engineer 3

Relocation Level

TBD

Benefits

Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.

• medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget
• 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

For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Equal Opportunity

Micron 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.