Intern - Real-Time Monitoring & ML Analytics

Micron Technology, Inc; Singapore; On-site; SGD 13,000 - 22,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites ambitious students to join a full-time internship focused on real-time particle monitoring and contamination control in a manufacturing environment.

You will collaborate with Facilities, QE, and production teams to support system installation, verification, and performance tracking while gaining hands-on experience in data analytics and equipment reliability. The ideal candidate is pursuing an engineering degree in one of the listed disciplines and

Qualifications

• Pursuing a degree in Computer Engineering, Material Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, or a related field.
• Strong communication and interpersonal skills.
• Ability to work with cross-functional teams.
• Basic project management skills.

Responsibilities

• Understand Micron's particle contamination control strategy and cleanroom quality requirements.
• Learn the functionality and application of real-time particle monitoring systems.
• Coordinate with vendors, Facilities, QE, and manufacturing stakeholders to support system installation and deployment.
• Assist in project planning, tracking, and execution activities.
• Investigate and resolve implementation issues encountered during the project.
• Support system verification and performance monitoring after deployment.

Skills

Strong communication

Interpersonal skills

Collaboration

Analytical thinking

Basic project management

Cross-functional teamwork

Education

Computer Engineering

Material Engineering

Mechanical Engineering

Electrical Engineering

Industrial Engineering

Job description

Micron Technology, Inc. in Singapore invites ambitious students to join a full-time internship focused on real-time particle monitoring and contamination control in a manufacturing environment.

You will collaborate with Facilities, QE, and production teams to support system installation, verification, and performance tracking while gaining hands-on experience in data analytics and equipment reliability. The ideal candidate is pursuing an engineering degree in one of the listed disciplines and