Module Engineering PhD Intern New 2027

About the role

Job Details:

Job Description:

The Role and Impact

Join Intel as a Module Engineering PhD Intern and contribute to the development of advanced semiconductor manufacturing technologies. In this role, you will work alongside experienced engineers to improve manufacturing processes, optimize equipment performance, and drive operational excellence within a high-volume production environment.

This internship provides a unique opportunity to apply research and technical expertise to real-world engineering challenges. Through hands-on projects, data-driven problem solving, and collaboration with cross-functional teams, you will gain practical experience in semiconductor manufacturing while helping develop the technologies that power the future.

Business Group

Intel Foundry is a leader in semiconductor manufacturing, delivering innovative process technologies that enable next-generation computing solutions. Our teams are dedicated to advancing manufacturing excellence through continuous process improvement, engineering innovation, and operational efficiency. As part of Intel Foundry, you will collaborate with industry-leading engineers and researchers to develop technologies that have a global impact.

Key Responsibilities

- Support the development, improvement, and implementation of semiconductor manufacturing processes within assigned modules.

- Support projects focused on yield improvement, quality enhancement, cost reduction, and operational efficiency.

- Analyze process and manufacturing data to identify trends, root causes, and opportunities for improvement.

- Collaborate with cross-functional teams to improve process control methodologies and manufacturing performance.

- Design and execute experiments to evaluate process modifications and drive continuous improvement initiatives.

- Apply technical and analytical expertise to solve complex manufacturing challenges.

- Assist in equipment qualification, troubleshooting, maintenance, and process optimization activities.

- Document technical findings and communicate recommendations to engineering stakeholders.

Qualifications:

Minimum Qualifications

- Currently pursuing a PhD in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Science, Physics, Applied Chemistry, Computer Science or a related STEM discipline.

- Minimum of 3 months of research, laboratory, internship, academic, or industry experience.

- Strong academic performance with a cumulative GPA of 3.0 or higher required

Preferred Qualifications

- Experience with data analysis tools (JMP, Python, MATLAB, Excel).

- Knowledge of DOE, statistical analysis, and process optimization.

- Understanding of semiconductor manufacturing and process engineering fundamentals.

- Programming experience for engineering or scientific applications.