RDA OOC Engineer

About the Role

The RDA OOC team is part of Micron's semiconductor manufacturing organization, focused on advancing technology through innovation, operational excellence, and continuous improvement. The team partners 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.

As an RDA OOC Engineer, you will enhance process performance, improve manufacturing stability, and reduce production variability within a semiconductor manufacturing environment. This position offers 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 manufacturing and quality objectives.

Key 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 effective 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.
• Leverage advanced analytics, automation, and AI-assisted tools to improve decision-making, process performance, and operational efficiency while incorporating AI into daily responsibilities.

Requirements & Tech Stack

• 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.

Qualifications

• 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, yield improvement, and experience and/or interest in developing Agentic AI workflows into current or future processes.