Intern: Dry Etch Process & Equipment Optimization

Micron Technology, Inc; Singapore; On-site; SGD 13,392 - 20,088; Full time

Job summary

Micron Technology, Inc. in Singapore invites applications for a Dry Etch Process Optimization and Characterization internship. This hands-on program sits in a manufacturing environment and focuses on developing foundational knowledge of dry etch processes while pursuing data‑driven improvements.

The intern will design and execute structured experiments, analyze results, and present findings. Exposure to AI‑enabled analytical tools may enhance data interpretation and engineering decisions.

Qualifications

• Pursuing a degree in engineering or related field.
• Strong analytical and problem-solving skills.
• Good communication and presentation abilities.
• Familiarity with data analysis tools and AI-enabled workflows is advantageous.

Responsibilities

• Provide hands-on exposure to semiconductor dry etch process and equipment development in a manufacturing setting.
• Participate in structured experiments to evaluate opportunities for improving process efficiency, cost, and variation.
• Develop foundational knowledge of dry etch processes and equipment fundamentals.
• Analyze engineering data to drive process improvements, with potential AI-enabled tool exposure.
• Present engineering findings and recommendations based on experimental results.

Skills

Communication

Presentation skills

Analytical thinking

Teamwork

Data analytics basics

AI-enabled analytics workflows

Education

Bachelor's or pursuing degree in Engineering or related field

Tools

AI-enabled analytics tools

Job description

Micron Technology, Inc. in Singapore invites applications for a Dry Etch Process Optimization and Characterization internship. This hands-on program sits in a manufacturing environment and focuses on developing foundational knowledge of dry etch processes while pursuing data‑driven improvements.

The intern will design and execute structured experiments, analyze results, and present findings. Exposure to AI‑enabled analytical tools may enhance data interpretation and engineering decisions.