Yield Enhancement DRAM DA

Job Title

Yield Enhancement DRAM DA

Role Summary

As a Yield Analysis (DA) engineer you will characterize electrical data to identify intrinsic and extrinsic device issues affecting yield, develop prediction methods for end-of-line device performance, and support transfer of next-generation DRAM products from R&D to manufacturing.

The role sits at the intersection of device physics, data analysis, and production engineering; you will work with cross-functional R&D and manufacturing teams to accelerate product commercialization.

Experience Level

Mid-level - typically 3–7 years' relevant industry experience; the posting specifies a Bachelor's plus 5 years' industrial experience or advanced degree holders.

Responsibilities

Primary duties include analysis, tooling, and cross-functional problem solving to improve yield and support product transfer.

• Analyze end-of-line test, parametric, and fab data to identify design, process, and test issues impacting yield.
• Develop and implement yield-analysis tools and apply machine learning/AI to improve prediction accuracy and efficiency.
• Identify interactions between process modules and equipment to detect failure mechanisms.
• Use inline data to recommend and validate process improvements.
• Standardize methods and procedures to improve measurement consistency and yield predictions.
• Lead or participate in multi-area focus teams to troubleshoot complex yield issues.
• Provide actionable feedback to R&D on design and process limitations and help drive resolutions.
• Publish and present reports on analysis of process experiments and support transfer of new parts from R&D to manufacturing.

Requirements

Must-have technical skills and behaviors; candidates may demonstrate equivalent practical experience where appropriate.

• Strong understanding of semiconductor processing and CMOS/device physics, including memory cell operation.
• Proven ability to extract, analyze, and report electrical and fab data; demonstrated statistical analysis skills.
• Programming skills: Python, R, SQL; familiarity with JavaScript is desirable.
• Experience applying machine learning or data-driven methods to analysis or prediction problems.
• Excellent written, verbal, and presentation communication; ability to translate complex analysis into actionable recommendations.
• Detail-oriented with ability to follow complex procedures and maintain consistent methods.
• Continuous improvement mindset focused on measurement accuracy and yield prediction improvement.
• Ability to work effectively in cross-functional teams with limited supervision and to lead/coordinate team discussions.

Education Requirements

Bachelor's degree plus 5 years of industrial semiconductor experience, or a Master's or PhD in Engineering or a related semiconductor field.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.