New College Grad - RDA OOC Engineer

Micron Technology•Boise, ID

About The Position

The RDA OOC Engineer works within Micron's semiconductor manufacturing organization to enhance process performance, improve manufacturing stability, and reduce production variability. The role solves technical challenges, improves process capability, and partners with cross-functional teams to support yield, quality, and operational efficiency. It uses statistical methodologies, advanced analytics, and AI-assisted tools to identify opportunities, drive corrective actions, and advance manufacturing and quality objectives. The RDA OOC team works closely with Process Engineering, Quality Engineering, Manufacturing, and other organizations to optimize process performance, improve product quality, reduce variability, and support stable high-volume production. The team applies advanced process control, data analytics, and continuous improvement to support reliable manufacturing of leading-edge memory technologies.

Requirements

Bachelor's degree in Engineering or a related technical field, or equivalent practical experience.
Experience in semiconductor manufacturing, process engineering, or a related technical environment.
Strong analytical, troubleshooting, and problem-solving skills.
Experience analyzing process data, identifying root causes, and driving process improvements.
Excellent communication, collaboration, and process management skills.

Nice To Haves

Master's degree in Engineering or a related technical field.
Experience with advanced RDA technologies and semiconductor process control methodologies.
Knowledge of SPC, CPM, FDC, and statistical process monitoring practices.
Experience supporting quality systems, manufacturing compliance initiatives, customer audits, and process improvement projects.
Experience using AI-assisted analytics for data interpretation, anomaly detection, and yield improvement.
Experience and/or interest in developing Agentic AI workflows for current or future processes.

Responsibilities

Establish, optimize, and sustain semiconductor process conditions and manufacturing technologies.
Improve process capability, inline performance metrics, yield, and production cost effectiveness.
Analyze process excursions, identify root causes, and implement corrective and preventive actions.
Drive fab MMM/OOC reduction initiatives and improve inline deviation index performance.
Validate corrective and preventive actions (CA/PA) and improve RDA event reaction time for Fab AAL/GDM and internal AAL events.
Partner with Quality Engineering and Manufacturing teams to support fab quality activities, customer audits, SPC compliance, and manufacturing stability.
Develop process management projects, optimize sampling plans, coordinate CPM activities, and implement smart sampling strategies to reduce WaR.
Use advanced analytics, automation, and AI-assisted tools to improve decision-making, process performance, and operational efficiency, incorporating AI into daily responsibilities.