New College Grad - RDA OOC Engineer

Micron • Boise, ID

8d

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 uses statistical methodologies, advanced analytics, and AI-assisted tools to identify opportunities, drive corrective actions, and support manufacturing and quality objectives. The RDA OOC team partners with Process Engineering, Quality Engineering, Manufacturing, and other cross-functional groups to optimize process performance, product quality, and stable high-volume production.

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 on 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.

Benefits

• Choice of medical, dental, and vision plans.
• Income-protection benefit programs in the event of illness or injury.
• Paid family leave.
• Paid time off.
• Paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level