Intern: AI-Enhanced Assembly Yield Engineer

Micron Technology; Singapore; On-site; SGD 17,000 - 29,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites an Assembly Process and Equipment Engineering Intern to join a focused project aimed at improving assembly output, yield, product quality, and cost.

Under guidance of experienced engineers, you will study semiconductor assembly processes and apply structured methods to identify variations and opportunities. The role offers practical data analytics exposure, statistical analysis, and exposure to AI-enabled workflows, with 5 months full-time commitment

Qualifications

• Pursuing a degree in Mechanical, Materials or Manufacturing Engineering.
• Strong analytical and problem-solving abilities.
• Basic knowledge of statistics and experimental planning.
• Familiarity with Excel and PowerPoint; interest in AI-enabled workflows.
• Willingness to apply AI tools to engineering analysis.

Responsibilities

• Assist in studying assembly processes and data collection.
• Apply engineering methods to identify improvement opportunities.
• Develop an experimental plan and perform data analysis.
• Propose improvements and monitor effectiveness after implementation.

Skills

Analytical and problem-solving skills

Engineering statistics

Experimental planning

Excel

PowerPoint

Statistical Process Control

Design of Experiments

Generative AI / AI tools interest

Education

Mechanical Engineering

Materials Engineering

Manufacturing Engineering

Related engineering field

Tools

Microsoft Excel

Microsoft PowerPoint

Job description

Micron Technology, Inc. in Singapore invites an Assembly Process and Equipment Engineering Intern to join a focused project aimed at improving assembly output, yield, product quality, and cost.

Under guidance of experienced engineers, you will study semiconductor assembly processes and apply structured methods to identify variations and opportunities. The role offers practical data analytics exposure, statistical analysis, and exposure to AI-enabled workflows, with 5 months full-time commitment