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# New College Grad - RDA Engineer, APTD

- **Company:** Micron View all jobs
- **Location:** Boise, ID, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Failure Mode Effects Analysis, Statistical Process Control (SPC), Technical Data Management Systems, Iq/oq/pq, Yield Optimization, Data Analytics
- **Published:** September 4, 2026
- **Apply:** https://www.careerjet.com/job/us244868c2a50e42850cca04f7bcc33f82/eaa

## About the Role

* Bachelor's degree in Engineering, Materials Science, Manufacturing Engineering, Chemical Engineering, or a related technical field.
 * 0 to 2 years of experience in semiconductor manufacturing, process engineering, assembly operations, or a related high-volume manufacturing environment.
 * Demonstrated experience applying structured problem-solving methodologies, including FMEA, 8D, failure analysis, SPC, or statistical data analysis.
 * Experience supporting process qualification, yield improvement, process optimization, or cost reduction initiatives.
 * Proficiency with data analytics tools and AI-Enabled ways of working to support engineering and operational decision-making.

## Description

The Process Engineering team develops, optimizes, and sustains manufacturing processes that enable high-quality, reliable, and cost-effective semiconductor products. The team partners closely with manufacturing, equipment, quality, and supplier organizations to drive continuous improvement, reduce operational risk, and support new product introductions across production sites.
As a Process Engineer, you will support the startup, development, optimization, and continuous improvement of semiconductor assembly manufacturing processes. This role is responsible for identifying and resolving process-related issues, improving yield and productivity, supporting product qualifications, and enhancing manufacturing efficiency. Success in this position requires strong analytical and problem-solving skills, effective multi-functional collaboration, and the ability to leverage AI-Enabled tools and data-driven approaches to improve operational performance.
## Responsibilities

 * Identify, diagnose, and resolve assembly process issues using structured problem-solving methodologies such as failure analysis, FMEA, 8D, SPC/FDC, and statistical analysis techniques.
 * Coordinate and execute process, equipment, and material evaluations; implement and validate process changes that improve quality, yield, reliability, and productivity.
 * Lead or support continuous improvement initiatives focused on yield enhancement, cost reduction, manufacturing efficiency, and risk mitigation.
 * Validate and deploy qualified process baselines, including new processes, materials, and equipment, to support new product introductions and site-to-site portability.
 * Leverage AI-Enabled tools, AI-Assisted analytics, and manufacturing data to support process monitoring, root cause analysis, decision-making, and continuous improvement activities.


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