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# Sr Engineer, Adv DRAM PI

- **Company:** Micron Technology, Inc.
- **Location:** Boise, ID, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Dynamic Random-Access Memory, Storage Devices, Yield Optimization
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c3a284e88eea3d97

## About the Role

* MS in Physics, Materials Science, Electrical Engineering, or related field
 * 3+ years of semiconductor industry experience
 * Strong understanding of semiconductor process integration and device physics
 * Experience with experimental design, data analysis, and statistical methods
 * Demonstrated ability to lead projects and work across technical teams

Preferred Qualifications:

 * PhD in Physics, Materials Science, Electrical Engineering, or related field
 * Experience with DRAM, NAND, or other memory technologies
 * Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives
 * Strong background in materials science applied to semiconductor processing
 * Familiarity with emerging or alternative memory technologies
 * Experience in R&D or advanced technology development environments

## Description

As a Process Integration Engineer, you will play a critical role in developing Advanced DRAM technologies. You will work across multiple engineering disciplines to improve performance, manufacturability, and reliability. This role is ideal for someone who enjoys hands-on experimentation, solving sophisticated problems, and turning data into actionable insights., * Lead development of Advanced DRAM device technologies including charge storage devices and thin-film transistors

 * Design and run experiments in the R&D fab to optimize process flows and integration
 * Analyze inline, parametric, and probe data to identify variability, noise, and failure mechanisms
 * Collaborate with cross-functional teams to resolve performance and yield challenges
 * Apply AI-assisted tools and workflows to analyze large datasets, identify failure patterns, and accelerate root-cause determination


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