Senior Equipment Engineer - AI-Enabled Process Innovation

Micron Technology, Inc.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Process Engineer who will identify and resolve process and equipment issues, drive optimization, and support new equipment qualifications for cutting-edge memory technologies.

You will collaborate across engineering, operations and quality teams, support audits, and contribute to continuous improvement leveraging AI-enabled tools. The role requires 3+ years in semiconductor manufacturing and strong analytical skills.

Qualifications

• Bachelor's degree in engineering or science required.
• Minimum 3 years of relevant experience.
• Strong analytical and communication skills.
• Knowledge of SPC, DOE and RCA highly valued.
• Experience with AI tools is a plus.

Responsibilities

• Identify and resolve process and equipment issues.
• Coordinate evaluation and optimization of processes, equipment, and materials.
• Lead New Equipment Qualification for new tech development.
• Drive yield improvement and cost reduction.
• Validate new process baselines for new products.
• Support SPC/FDC/RMS/APC activities.
• Audit suppliers to ensure quality and cost control.
• Prepare for internal and external audits.
• Define equipment requirements and review processing methods.
• Involvement from pilot to full-scale manufacturing.
• Review design requirements with cross-functional teams.
• Analyze test data to set process limits.
• Apply AI tools to improve efficiency.

Skills

SPC knowledge

DOE basics

Root cause

AI tools

Data analytics

Cross-functional

Communication

Education

Bachelor's in Engineering

Science degree

Tools

MES systems

Statistical tools

Job description

Micron Technology, Inc. in Singapore is seeking a Process Engineer who will identify and resolve process and equipment issues, drive optimization, and support new equipment qualifications for cutting-edge memory technologies.

You will collaborate across engineering, operations and quality teams, support audits, and contribute to continuous improvement leveraging AI-enabled tools. The role requires 3+ years in semiconductor manufacturing and strong analytical skills.