Process Integration & Yield Engineering PhD Intern

Job Title

Process Integration & Yield Engineering PhD Intern

Role Summary

As a PhD intern on the Process Integration and Yield Engineering team at Intel Foundry, you will analyze process and yield data, investigate defects, and develop solutions to improve semiconductor manufacturing performance and product quality.

The role involves experimental design, microscopy and materials characterization, statistical analysis, and collaboration with cross-functional engineering teams in a high-volume production environment.

Experience Level

Internship (PhD-level). Candidates must be currently enrolled in a PhD program. Minimum 3 months of educational, research, laboratory, internship, or industry experience required.

Responsibilities

Primary responsibilities include data analysis, process integration support, experiment execution, and defect investigation.

• Analyze yield, defect, and process data to identify trends and root causes.
• Support process integration activities across fabrication operations.
• Design and execute experiments to evaluate and optimize process performance.
• Troubleshoot technical issues and implement corrective actions with cross-functional teams.
• Use microscopy and characterization techniques to investigate defects and process-related challenges.
• Apply statistical analysis and data-driven methods to enhance process capability and manufacturing efficiency.
• Contribute to yield-improvement initiatives and prepare technical reports for engineering stakeholders.

Requirements

Must-have qualifications and expected skills.

• At least 3 months of relevant educational, research, laboratory, internship, or industry experience.
• Strong analytical and problem-solving skills with the ability to interpret data.
• Effective written and verbal communication; able to present technical findings to stakeholders.
• Able to collaborate effectively across multidisciplinary engineering teams.

Nice-to-have:

• Hands-on experience with semiconductor fabrication, process integration, or yield engineering.
• Proficiency with data analysis and visualization tools (JMP, Python, MATLAB, or equivalent).
• Knowledge of Statistical Process Control (SPC), Design of Experiments (DOE), or machine learning techniques.
• Understanding of semiconductor device physics and manufacturing fundamentals.
• Experience with microscopy/materials characterization and working in cleanroom or advanced manufacturing environments.

Education Requirements

Currently pursuing a PhD in Materials Science, Electrical Engineering, Chemical Engineering, Chemistry, Mechanical Engineering, Physics, Computer Science, or a related technical field. Cumulative GPA of 3.0 or higher required.

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.