Id1 Yield Analysis Engineer

Micron • Boise, ID

8d

About The Position

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 Idaho Semiconductor Manufacturing (Triton) LLC Responsible to characterize electrical data to identify and source out extrinsic and intrinsic device issues that are impacting yield. 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. 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. 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. Participate in multi-area focus teams to troubleshoot complex yield issues. Provide 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. Employer will accept a Bachelor's degree in Electrical, Chemical and Material Science Engineering, Physics, Chemistry, Data Science, or related field and 3 years of experience in the job offered or in an engineer-related occupation.

Requirements

• JMP and Klarity for wafer-level and die-level statistical analysis and cross-site data alignment.
• Identifying and differentiating issues by using electrical test signature and failure isolation.
• Developing dieloss methodology and custom crunch logic to improve signal accuracy and early yield debug efficiency.
• Data visualization tool (Tableau) to review issues and improve decision making efficiency.
• Correlating inline inspection and parametric data with yield trend to identify process-related failure mechanism.
• Bachelor's degree in Electrical, Chemical and Material Science Engineering, Physics, Chemistry, Data Science, or related field
• 3 years of experience in the job offered or in an engineer-related occupation.

Responsibilities

• Characterize electrical data to identify and source out extrinsic and intrinsic device issues that are impacting yield.
• 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.
• 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.
• 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.
• Participate in multi-area focus teams to troubleshoot complex yield issues.
• Provide 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

• 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.

What This Job Offers

• Job Type: Full-time
• Number of Employees: 5,001-10,000 employees