NAND FA Engineer - Fault Isolation & AI-Driven Yield

Micron Technology, Inc.; Singapore; Presencial; SGD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Micron Technology, Inc. in Singapore invites applications for an Engineer, CE PYE. This role focuses on electrical failure analysis and fault isolation to support qualifications and new device introductions.

You will collaborate with Process Integration, Product, Test and Quality Reliability teams to identify defects, validate failure mechanisms, and drive continuous improvements. AI-enabled approaches are encouraged to enhance efficiency and outcomes.

Formación

• Bachelor's or Master's in Electrical/Electronic Engineering, Electrical, Microelectronics or Data Science.
• Strong analytical and problem-solving abilities with excellent communication.
• Interest in AI, ML, data analytics or automation in semiconductor engineering.

Responsabilidades

• Perform electrical device characterization to determine fail mechanisms.
• Operate fault isolation equipment to locate failure defects.
• Hypothesize failure mechanisms via models and physical analysis.
• Collaborate with frontend, backend, and GQ teams to address defects.
• Present weekly electrical/physical failure analyses to drive improvements.
• Develop new fault isolation and FA techniques to stay ahead.
• Maintain uptime of FI/FA tools for efficiency.
• Integrate AI-enabled tools to improve efficiency and quality.
• Contribute to continuous improvement through AI-enabled enhancements.

Conocimientos

Analytical skills

Problem-solving

Team collaboration

Communication

Data science interest

Educación

Bachelor's / Master's in Electrical/Electronic Engineering

Herramientas

Fault isolation equipment

Physical failure analysis

AI tools & ML interest

Descripción del empleo

Micron Technology, Inc. in Singapore invites applications for an Engineer, CE PYE. This role focuses on electrical failure analysis and fault isolation to support qualifications and new device introductions.

You will collaborate with Process Integration, Product, Test and Quality Reliability teams to identify defects, validate failure mechanisms, and drive continuous improvements. AI-enabled approaches are encouraged to enhance efficiency and outcomes.