Module Engineer PhD Intern New 2027
About The Position
As a Module Engineering PhD Intern, you will contribute to developing and optimizing manufacturing processes for a specific module in semiconductor production. You will help sustain and improve manufacturing equipment performance, troubleshoot issues, and support qualification activities. This hands-on internship provides an opportunity to apply academic knowledge, gain practical skills, and explore future career possibilities in an innovation-driven environment. You will join Intel Foundry, which advances semiconductor manufacturing technologies and delivers solutions for customers worldwide. The team focuses on optimizing manufacturing processes and sustaining high-performance equipment, contributing to Intel’s work in semiconductor production.
Requirements
- Currently pursuing a PhD 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 work, and process development and optimization.
- Experience with materials and device characterization techniques, including SEM, TEM, CD SEM, AFM, XPS, and SIMS.
- Knowledge of large-data statistical analysis or machine learning focused on process optimization, advanced process control (APC), and variability reduction.
Nice To Haves
- Understanding of JMP, Python, or MATLAB to support data-based decisions in process optimization and matching.
- Prior internship at semiconductor manufacturing or foundry companies, or equipment suppliers.
- GPA of 3.0 or higher.
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 with equipment troubleshooting, maintenance, and qualification activities to meet production standards.
- Collaborate with engineering teams to improve 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.
Benefits
- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
