Yield Defect Metrology Intern: Data & Process Analytics

Intel Corporation; Penang; On-site; MYR 20,000 - 33,000; Full time

Job summary

Intel Corporation in Malaysia (Penang) is seeking a Yield Defect Metrology Engineering Intern to support yield improvement through defect data analysis, SPC concepts, and process monitoring. You will work with engineering teams to investigate issues and gain hands-on experience in advanced manufacturing.

You will develop skills in data analytics, dashboards, and automation, using Excel, Power BI, Python, and related tools, while presenting findings to mentors and applying structured

Qualifications

• Strong interest in semiconductor manufacturing and data analytics.
• Good analytical and critical-thinking skills.
• Strong attention to detail and ability to work with large data sets.
• Effective communication and teamwork abilities.
• Able to commit to a minimum 6-month internship.

Responsibilities

• Monitor manufacturing performance indicators, defect trends, and process health metrics.
• Review inspection and metrology data to identify unusual patterns and yield concerns.
• Learn how SPC is applied in semiconductor manufacturing environments.
• Participate in daily operational reviews and yield learning discussions.
• Analyze large manufacturing datasets using Excel, Power BI, Python, or other analytics tools.
• Develop dashboards, reports, and visualizations to aid engineering decisions.
• Present analysis findings to mentors and stakeholders.
• Review and organize defect data from automated inspection systems.
• Assist defect classification validation and data quality improvement activities.
• Support investigations into defect excursions and abnormalities.

Skills

Analytical thinking

Attention to detail

Communication

Teamwork

Self-motivation

Education

Bachelor's degree in Electrical Engineering or Mechanical Engineering or Materials Science

Tools

Excel

Power BI

MATLAB

Python

Job description

Intel Corporation in Malaysia (Penang) is seeking a Yield Defect Metrology Engineering Intern to support yield improvement through defect data analysis, SPC concepts, and process monitoring. You will work with engineering teams to investigate issues and gain hands-on experience in advanced manufacturing.

You will develop skills in data analytics, dashboards, and automation, using Excel, Power BI, Python, and related tools, while presenting findings to mentors and applying structured