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# Sr. RAM RDA Applications Engineer

- **Company:** Micron Technology, Inc.
- **Location:** Boise, ID, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), Data Analysis, Baselining, C++ (Programming Language), Computer Engineering, Data Transmissions, Python (Programming Language), NumPy, Software Engineering, SQL Databases, Tableau (Software), Data Processing, Scripting, JMP (Statistical Software), Jupyter, Pandas, Information Technology, Spotfire
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467437259&tx=JK3529FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Employer will accept a Bachelor's degree in Electrical Engineering, Chemical Engineering, Materials Science, Computer Science, Computer Engineering or related field and 2 years of experience in the job offered or in a related occupation., 1. Applying data science and data manipulation including scripting or coding;

 2. Python, C, C++, SQL, or Java;
 3. RDA or semiconductor manufacturing techniques, including analytical techniques applied to manufacturing-related data;
 4. Semiconductor physics, programming field, real time data processing/transfer, transistor operations, scaling limitations and reliability;
 5. Data Science and analysis, including Pandas, NumPy, or Jupyter;
 6. Utilizing JMP, SPOTFIRE, or Tableau.

## Description

Utilize state-of-the-art inline RDA Inspection equipment and processes to troubleshoot, inspect, develop software to improve and monitor the line health. Develop inspection techniques, recipes, interactive team member programs, data transfer and applications to quantify the performance of wafer fabrication and team support. Detect problems and make changes to develop applications to improve data collection and wafer fabrication. Use data analysis skills and software development to visualize, report and quantify processes. Collaborate with engineers in process integration, process development, data science, and yield analysis within the facility. Responsible for supporting experimentation, data analysis, baseline health metrics, software development to improve data transfer, data collection and reporting as well as partnering with others in Technical Development and High-Volume Manufacturing.