Real-Time Particle Monitoring Intern – Data Analytics

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 33,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites enthusiastic engineering interns to join a hands-on program focused on real-time particle monitoring and cleanroom quality. You will work cross-functionally with Facilities, QE, and manufacturing to understand contamination control strategies and support system deployment.

The role emphasizes data analytics, trend analysis, and developing equipment health indicators, with potential for full-time opportunities based on performance.

Qualifications

• Strong communication and interpersonal skills.
• Ability to work effectively in cross-functional teams.
• Analytical thinking and problem-solving abilities.
• 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

Communication skills

Team collaboration

Analytical thinking

Project management basics

Cross-functional teamwork

Education

Pursuing a degree in Computer Engineering, Electrical Engineering, Mechanical Engineering, Industrial Engineering, or related field

Job description

Micron Technology, Inc. in Singapore invites enthusiastic engineering interns to join a hands-on program focused on real-time particle monitoring and cleanroom quality. You will work cross-functionally with Facilities, QE, and manufacturing to understand contamination control strategies and support system deployment.

The role emphasizes data analytics, trend analysis, and developing equipment health indicators, with potential for full-time opportunities based on performance.