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Micron Technology, Inc. in Boise, Idaho, seeks an RDA OOC Engineer to enhance process performance, improve manufacturing stability, and reduce production variability in a high-volume fab.
You will apply statistical methods, data analytics, and AI-assisted tools to identify opportunities and drive corrective actions across cross-functional teams. You will partner with Process, Quality, and Manufacturing groups to optimize processes, validate actions, and support audits.
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 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.
The RDA OOC team is part of Micron's world-class semiconductor manufacturing organization focused on advancing technology through innovation, operational excellence, and continuous improvement. The team partners closely with Process Engineering, Quality Engineering, Manufacturing, and other cross-functional organizations to optimize process performance, improve product quality, reduce manufacturing variability, and support stable high-volume production. Through advanced process control, data analytics, and continuous improvement initiatives, the team plays a critical role in enabling the reliable manufacture of leading-edge memory technologies that power AI and data-driven computing solutions.
As an RDA OOC Engineer, you will play a key role in enhancing process performance, improving manufacturing stability, and reducing production variability within a dynamic semiconductor manufacturing environment. This position provides the opportunity to solve complex technical challenges, drive process capability improvements, and partner with cross-functional teams to improve yield, quality, and operational efficiency. You will leverage statistical methodologies, advanced analytics, and AI-assisted tools to identify opportunities, drive corrective actions, and support the successful execution of manufacturing and quality objectives.
Job Profile(s): Semiconductor Process Engineer 1
Relocation Level: TBD
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