RDA Process Engineer — Defect Analytics & Global Impact

Micron Technology, Inc.; Boise (ID); Presencial; USD 100.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental and vision plans

Paid time off

Paid holidays

Descripción de la vacante

Micron Technology, Inc. seeks an RDA HVM Process Engineer to analyze defect data, optimize processes, and drive containment actions across global manufacturing sites. You will collaborate with process integration, development, data science, and yield teams to improve defect visibility and yield.

The role emphasizes root-cause analysis, inspection strategy development, and cross-site alignment to advance high-volume manufacturing performance with AI-assisted analytics capabilities.

Formación

• Bachelor’s, Master’s, or PhD in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or a related engineering field.
• Strong analytical and problem-solving skills with the ability to interpret process and defect data.
• Experience with data analysis, scripting, programming, automation, or data science methodologies.

Responsabilidades

• Analyze process flows and inline defect data to identify anomalies and support tool qualification and containment actions.
• Drive continuous improvement initiatives through defect reduction, process optimization, and data-driven decision making.
• Investigate process anomalies, perform root cause analysis, and recommend corrective actions.
• Develop and apply inspection strategies and monitoring approaches to improve early defect detection.

Conocimientos

Automation

Data analysis

Python

Educación

Bachelors/Masters/PhD in Engineering

Herramientas

Data analysis tools

Scripting

Descripción del empleo

Micron Technology, Inc. seeks an RDA HVM Process Engineer to analyze defect data, optimize processes, and drive containment actions across global manufacturing sites. You will collaborate with process integration, development, data science, and yield teams to improve defect visibility and yield.

The role emphasizes root-cause analysis, inspection strategy development, and cross-site alignment to advance high-volume manufacturing performance with AI-assisted analytics capabilities.