Yield Enhancement DRAM DA

1000 Micron Technology, Inc.

Boise (ID)

On-site

USD 110,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Medical, Dental & Vision plans
Paid time off & holidays
Competitive 401(k)

Job summary

Micron Technology, Inc. invites applications for a Yield Analysis (DA) Engineer to characterize electrical data and source out issues affecting yield. You will collaborate with R&D and manufacturing to accelerate product-to-market timelines using device-physics and ML for end-of-line predictions.

The role requires strong data extraction/reporting skills, semiconductor processing knowledge, and the ability to communicate complex analyses clearly. Travel and cross-functional teamwork are expected.

Qualifications

  • Bachelor's degree with 5+ years industrial experience in semiconductor field or MS/PhD in Engineering or related field.
  • Good understanding of semiconductor processing including CMOS operation and memory cell operation.
  • Ability to extract, analyze, and report data effectively.
  • Strong communication skills (written, verbal and presentation) and ability to present complex analysis succinctly.

Responsibilities

  • Analyze end-of-line test, parametric and fab data to identify design, process, and test issues impacting yield.
  • Develop new tools for yield analysis and apply ML techniques to improve efficiency and accuracy.
  • Identify innovative ways to use existing tools to detect process issues or device failures.
  • Investigate interactions between process modules/equipment to detect fail mechanisms.
  • Use inline data to drive process improvements and standardize methods for reproducibility.
  • Lead or participate in cross-functional teams to troubleshoot yield issues and communicate findings.

Skills

Strong communication
Data extraction & reporting
Machine learning awareness
Problem solving

Education

Bachelor's degree in Engineering or related semiconductor field

Tools

Python
JavaScript
R
SQL

Job description

Our vision is to transform how the world uses information to enrich life for all. 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. When you 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.

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
Qualifications
  • 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
Benefits
  • 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
  • Benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave
  • Robust paid time-off program and paid holidays
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.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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