New Grad RDA OOC Engineer - AI & Process Optimization

First Roles; Idaho City (ID); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Micron is seeking an RDA OOC Engineer to enhance process performance and reduce production variability in a fast-paced semiconductor environment. You will apply statistical methods and AI-assisted tools to identify opportunities and drive corrective actions across Fab AAL/GDM and related areas.

This role collaborates with Process Engineering, Quality Engineering, and Manufacturing to deliver yield improvements, cost efficiencies, and robust manufacturing stability.

Formación

• Bachelor's degree in Engineering or related technical field.
• Experience in semiconductor manufacturing, process engineering, or similar environment.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience analyzing process data, identifying root causes, and driving improvements.

Responsabilidades

• Establish, optimize, and sustain semiconductor process conditions and manufacturing technologies.
• Improve process capability, inline metrics, yield, and production cost effectiveness.
• Analyze process excursions, identify root causes, and implement corrective actions.
• Drive fab reduction initiatives and improve inline deviation index performance.
• Validate corrective actions and improve event reaction time for Fab AAL/GDM and internal events.
• Partner with Quality Engineering and Manufacturing teams to support audits and SPC compliance.
• Develop process management projects, optimize sampling plans, and implement smart sampling strategies.
• Leverage analytics and AI-assisted tools to improve decision-making and operational efficiency.

Conocimientos

Bachelor's degree in Engineering

Semiconductor manufacturing experience

Analytical problem solving

Data analysis

Educación

Bachelor's degree in Engineering

Herramientas

SPC

CPM

FDC

Descripción del empleo

Micron is seeking an RDA OOC Engineer to enhance process performance and reduce production variability in a fast-paced semiconductor environment. You will apply statistical methods and AI-assisted tools to identify opportunities and drive corrective actions across Fab AAL/GDM and related areas.

This role collaborates with Process Engineering, Quality Engineering, and Manufacturing to deliver yield improvements, cost efficiencies, and robust manufacturing stability.