Module Engineer PhD Intern New 2027

About the role

Job Details:

Job Description:

The Role and Impact

As a Module Engineering PhD Intern, you will actively contribute to the development and optimization of manufacturing processes for a specific module in semiconductor production. Your daily activities will include sustaining and improving manufacturing equipment performance, assisting in troubleshooting issues, and supporting qualification efforts. This hands-on internship offers an exciting opportunity to apply your academic knowledge, gain practical skills, and explore future career possibilities in a dynamic and innovation-driven environment.

Business group

Intel Foundry is dedicated to advancing semiconductor manufacturing technologies and delivering cutting-edge solutions to meet customer needs worldwide. As part of this organization, you will join a team focused on optimizing manufacturing processes and sustaining high-performance equipment, contributing to Intel's broader mission of driving technological excellence and innovation in semiconductor production.

Key Responsibilities

- Support the development and optimization of semiconductor manufacturing processes for a specific module.

- Sustain and improve manufacturing equipment performance to ensure operational efficiency and reliability.

- Assist in equipment troubleshooting, maintenance, and qualification activities to meet production standards.

- Collaborate with engineering teams to enhance process control methodologies and achieve production goals.

- Apply statistical analysis and experimental design techniques to improve process reliability and throughput.

- Gain hands-on experience with materials and device characterization techniques, such as SEM and TEM.

- Contribute to continuous improvement initiatives for process control systems and methodologies.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.

Minimum Qualifications

-Currently pursuing a PhD degree in Physics, Chemical Engineering, Materials Science, Electrical Engineering, or a semiconductor related STEM field.

-Experience in Plasma etch (ICP/RIE/ALED/DRIE/CCP), cleanroom and fabrication experience and process development and optimization.

-Experience in materials and device characterization techniques, including SEM, TEM, CD SEM, AFM, XPS, SIMS.

-Knowledge in Large data statistical analysis or Machine Learning with focus on process optimizations, APC and variability reduction.

Preferred Qualifications

-Understanding of JMP, Python, or MATLAB to drive data-based decisions in process optimization and matching.