Silicon Photonics Development Intern: Innovate & Analyze

GlobalFoundries; Santo Niño 1st; On-site; PHP 134,000 - 223,000; Full time

Benefits offered by this job

Mentorship program

Networking with executives

Job summary

GlobalFoundries is seeking an intern to work with the Silicon Photonics TD engineer to assist with process flow setup, data documentation, and analysis. You will help summarize inline and Test data, ensuring alignment with project specifications and performance goals.

The role emphasizes hands-on fabrication and integration of Silicon Photonics process development, collaboration with the project team, and rigorous data analysis.

Qualifications

• Actively pursuing a Bachelor’s/Master’s degree in Engineering (Optical/Electrical/Semiconductor) or related field during the internship.
• Must be in good academic standing.
• Ability to work at least 40 hours per week during the internship.
• Available for a 16–24 week internship commencing January 2027

Responsibilities

• Work with a Silicon Photonics TD engineer to prepare documents for process flow setup.
• Summarize inline data (thickness, CD, etc.) and test data (Electrical and Optical) and perform analysis.
• Fabricate and integrate Silicon Photonics process development by following process documentation and instructions.
• Collaborate with project team to ensure devices meet specifications and verify performance.
• Document inline, electrical and optical test and performance data analysis.
• Perform other duties as assigned; duties vary with project progress.

Education

Bachelor’s / Master’s degree in Engineering (Optical/Electrical/Semiconductor) or related field

Job description

GlobalFoundries is seeking an intern to work with the Silicon Photonics TD engineer to assist with process flow setup, data documentation, and analysis. You will help summarize inline and Test data, ensuring alignment with project specifications and performance goals.

The role emphasizes hands-on fabrication and integration of Silicon Photonics process development, collaboration with the project team, and rigorous data analysis.