Semiconductor Manufacturing Technician — Data-Driven Ops

Micron Technology, Inc; Singapore; On-site; SGD 30,000 - 42,000; Full time

Benefits offered by this job

Medical, dental & vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. in Singapore is seeking a Manufacturing Technician to support semiconductor production, ensuring smooth workflow and adherence to quality, safety and efficiency standards.

You will collaborate with production, engineering and quality teams to drive performance, data collection and improvement initiatives, including AI-enabled tools. Move with the production of wafer processes, learn and apply structured problem solving, and contribute to continuous improvement projects

Qualifications

• Nitec, Higher Nitec, or Diploma in Engineering, Semiconductor Technology, Manufacturing Technology, or related disciplines.
• Able to work on 12 hours shift.

Responsibilities

• Support daily manufacturing operations and production workflow.
• Monitor product movement and production status.
• Execute operational procedures according to defined work instructions.
• Escalate process abnormalities and production issues promptly.
• Perform data collection and basic analysis to support manufacturing improvement activities.
• Support yield, productivity, and quality improvement initiatives.
• Maintain accurate production records and documentation.
• Participate in continuous improvement projects.

Skills

Basic understanding of manufacturing

Microsoft Office proficiency

Basic analytical skills

Data interpretation capability

Education

Diploma in Engineering, Semiconductor Technology, Manufacturing Technology

Tools

Data analysis tools

Manufacturing data systems

Job description

Micron Technology, Inc. in Singapore is seeking a Manufacturing Technician to support semiconductor production, ensuring smooth workflow and adherence to quality, safety and efficiency standards.

You will collaborate with production, engineering and quality teams to drive performance, data collection and improvement initiatives, including AI-enabled tools. Move with the production of wafer processes, learn and apply structured problem solving, and contribute to continuous improvement projects