Process Integration and Yield Engineering PhD Intern

Job Title

Process Integration and Yield Engineering PhD Intern

Role Summary

The intern will support development and optimization of semiconductor manufacturing processes, defect analysis, and yield-improvement initiatives in high-volume production. Work is performed within Intel Foundry and involves collaboration with cross-functional engineering teams on metrology, process troubleshooting, experiments, and data-driven process improvements.

This position requires on-site presence and is not eligible for employment-based visa/immigration sponsorship.

Experience Level

Entry-level internship for PhD students (typical candidates are 2nd–3rd year PhD candidates). Student / Intern role.

Responsibilities

Primary responsibilities include hands-on process and yield work in a manufacturing environment.

• Develop and optimize module processes and integration flows for semiconductor manufacturing.
• Analyze defect data, design and run experiments, and assist in risk assessments to support yield improvements.
• Troubleshoot process-flow issues and collaborate with cross-functional teams to implement corrective actions.
• Optimize metrology strategies and apply data analysis techniques to improve process performance.
• Participate in continuous improvement projects and document results for production integration.
• Contribute to innovative technical projects to build expertise relevant to Intel Foundry objectives.

Requirements

Must-have technical skills and experience for successful internship performance.

• Proficiency in microscopy techniques and metrology.
• Background in circuit design and semiconductor device physics.
• Basic scripting ability in Python or a comparable language for data analysis and automation.
• Familiarity with scan methodologies and automatic test pattern generation.
• Experience analyzing defect data, designing experiments, and applying statistical/process analysis methods.
• Ability to work in a cross-functional team, communicate technical results, and support manufacturing-scale projects.
• Nice-to-have: experience with image analysis software and large visual computing models; coursework in algorithms, solid-state physics, electronics, and silicon process technologies.

Education Requirements

Actively pursuing a PhD in Physics, Electrical Engineering, Materials Science, or Chemistry. Preferred candidates are 2nd or 3rd year PhD students with coursework in computer science (basic algorithms), solid-state/semiconductor physics, electronics/circuit design, and silicon process technologies. Minimum GPA: 3.0.

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.