AI-Driven Semiconductor Process Data Intern

Micron; Singapore; On-site; SGD 17,000 - 23,000; Full time

Benefits offered by this job

Full-time internship

Mentorship by senior engineers

Cross-functional collaboration

Job summary

Micron Technology, Inc. in Singapore is seeking a motivated student for a full-time internship focused on cumulative error variation reduction in staircase and chop etch processes.

You will analyze manufacturing data and apply statistical methods to identify sources of variation, working with cross-functional teams. The role offers hands-on experience with dry etch processes, data visualization, and AI-enabled workflows, with mentorship from experienced engineers and a chance to present findings

Qualifications

• Strong analytical and problem-solving skills are required.
• Familiarity with statistical methods and data visualization.
• Experience with Python, R, SQL or related data analysis tools is advantageous.
• Interest in semiconductor manufacturing and dry etch processes is essential.

Responsibilities

• Analyze manufacturing process and measurement data to identify sources of cumulative error variation.
• Apply statistical analysis and data visualization to evaluate relationships between process conditions and error performance.
• Develop potential control strategies to reduce variation and improve inline stability.
• Collaborate with cross-functional engineering teams to validate findings.
• Prepare final internship presentation with data-backed recommendations.

Skills

Analytical skills

Problem solving

Statistics

Data visualization

Python

R

SQL

Education

Pursuing degree in Materials Science & Engineering / Chemical / Electrical & Electronic / Mechanical Engineering

Tools

None

Job description

Micron Technology, Inc. in Singapore is seeking a motivated student for a full-time internship focused on cumulative error variation reduction in staircase and chop etch processes.

You will analyze manufacturing data and apply statistical methods to identify sources of variation, working with cross-functional teams. The role offers hands-on experience with dry etch processes, data visualization, and AI-enabled workflows, with mentorship from experienced engineers and a chance to present findings