Module Engineering (PhD Intern)

As a Module Engineering PhD Intern, you will play a key role in developing and optimizing semiconductor manufacturing processes for a specific module. You will gain hands-on experience by sustaining and improving manufacturing equipment, troubleshooting issues, and supporting qualification activities. This internship offers a unique opportunity to apply your academic knowledge, build practical skills, and contribute to real-world projects in a dynamic environment that fosters growth and innovation.

Business Group

Intel Foundry is focused on advancing semiconductor manufacturing technologies and delivering innovative solutions to meet customer needs worldwide. As part of this organization, you will join a group dedicated to sustaining high-performance manufacturing processes and driving process optimization to support Intel's broader mission of technological excellence.

Key Responsibilities

• Support the development and implementation of manufacturing processes for a specific module in semiconductor production.
• Sustain and enhance manufacturing equipment performance to ensure operational reliability and efficiency.
• Assist in troubleshooting equipment issues and performing qualification activities to achieve production standards.
• Collaborate with engineering teams to optimize process control methodologies and enhance process efficiency.
• Apply statistical analysis and experimental design 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.

• Currently pursuing a Ph.D. degree in Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Engineering, or another STEM-related field.
• Knowledge of semiconductor processing fundamentals, including lithography, etching, polishing, and deposition techniques.
• Familiarity with statistical data analysis and experimental design methodologies.
• Experience in materials and physical device characterization techniques like SEM or TEM, gained through coursework, academic research, or hands-on training.

Preferred Qualifications

• Expertise in advanced semiconductor device structures, fabrication techniques, and process integration.
• Proficiency in statistical analysis tools and programming languages such as JMP, Python, MATLAB, or C++.
• Hands-on research experience in device fabrication, physical characterization, or materials testing.
• Strong foundational knowledge in process control systems and semiconductor device physics.

Explore the opportunity to grow your expertise in cutting-edge semiconductor manufacturing while contributing to innovative solutions in a collaborative environment. Apply today and take the first step toward shaping the future of technology.

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.