Yield Defect Metrology Engineering Intern

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

Position Overview

As a Yield Defect Metrology Engineering Intern, you will work alongside engineering teams to support yield improvement and defect reduction initiatives. You will gain firsthand experience in semiconductor manufacturing by analysing defect data, monitoring process performance, and participating in engineering investigations. This internship provides exposure to advanced manufacturing technologies, statistical data analysis, defect engineering, and process optimization. You will have opportunities to apply engineering concepts to real manufacturing challenges while developing analytical, technical, and problem-solving skills that are highly valued in the semiconductor industry.

Key Responsibilities

Yield Monitoring and Manufacturing Analytics

• Support engineers in monitoring manufacturing performance indicators, defect trends, and process health metrics.


• Assist in reviewing inspection and metrology data to identify unusual patterns and potential yield concerns.


• Learn how Statistical Process Control (SPC) is applied in semiconductor manufacturing environments.


• Participate in daily operational reviews and yield learning discussions.

Data Analytics and Visualization

• Analyze large manufacturing datasets using tools such as Microsoft Excel, Power BI, Python, or other analytics platforms.


• Support development of dashboards, reports, and visualizations to improve engineering decision-making.


• Assist in identifying defect trends, recurring issues, and potential yield improvement opportunities.


• Present analysis findings to engineering mentors and stakeholders.

Defect Analysis Support

• Review and organize defect data generated from automated inspection systems.


• Assist engineers in defect classification validation and data quality improvement activities.


• Support investigations into defect excursions and manufacturing abnormalities.


• Learn defect analysis methodologies commonly used in semiconductor manufacturing.

Engineering Project Support

• Participate in yield improvement and cost-reduction projects.


• Support process improvement initiatives aimed at reducing defectivity and improving manufacturing performance.


• Assist in data collection, analysis, documentation, and presentation of project outcomes.


• Contribute to continuous improvement activities using structured problem-solving methods.

Automation and Digitalization

• Support development of data automation, reporting, and process-monitoring solutions.


• Assist in creating scripts, dashboards, or visualization tools to improve operational efficiency.


• Explore opportunities to leverage data science, machine learning, or automation techniques in manufacturing environments.


• Learn how engineering data systems are used to drive operational excellence.

Cross-Functional Collaboration

• Collaborate with engineers, technicians, and manufacturing teams on assigned projects.


• Participate in technical discussions and engineering reviews.


• Gain exposure to interactions between Yield, Process Integration, Metrology, Manufacturing, and Quality organizations.


• Prepare project updates and communicate findings effectively.

Qualifications

Requirements

• Strong interest in semiconductor manufacturing, data analytics, or engineering problem-solving.


• Good analytical and critical-thinking skills.


• Strong attention to detail and willingness to work with large data sets.


• Effective communication and teamwork abilities.


• Self-motivated and eager to learn in a fast-paced manufacturing environment.

Minimum Qualifications

• Bachelor's degree in a specialized field (e.g., Electrical Engineering, Mechanical Engineering, Materials Science, or related discipline).


• Able to commit to a minimum internship period of 6 months.

Preferred Qualifications

• Familiarity with Microsoft Excel, Power BI, MATLAB, Python or other data analysis tools.


• Basic understanding of statistics and data visualization.


• Coursework or project experience involving data analysis, manufacturing, process control, or automation.


• Strong presentation and communication skills.


• Demonstrated curiosity and passion for solving technical challenges.

Job Type and Locations

Student / Intern Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations:

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence.

* Job posting details (such as work model, location or time type) are subject to change.

Additional Information

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.

We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Intel’s official careers website.

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