Process Integration and Yield Engineering PhD Intern - Grade 029
Intel CorporationJob Title
Process Integration and Yield Engineering PhD Intern - Grade 029
Role Summary
Hands-on internship supporting process integration and yield engineering for semiconductor manufacturing. The intern will analyze defect data, run experiments to evaluate integration flows, and work with cross-functional engineering teams to improve yield and metrology strategies in a high-volume production environment.
Role is onsite in Hillsboro, OR and contributes to process optimization, defect reduction, and data-driven yield improvements.
Experience Level
Intern / Entry-level (PhD student). Suitable for current PhD candidates; this is an internship position intended for students enrolled in a doctoral program.
Responsibilities
Primary responsibilities include experimental work, data analysis, and collaboration to improve manufacturing processes and yield.
- Perform defect analysis to identify trends and recommend process adjustments.
- Design and conduct experiments to evaluate and optimize process integration flows.
- Collaborate with cross-functional engineering teams to troubleshoot process issues and refine metrology strategies.
- Support yield improvement initiatives through risk assessments and data-driven recommendations.
- Apply advanced data analysis techniques to enhance process performance and production efficiency.
- Participate in continuous improvement projects aligned with business goals.
Requirements
Must-have technical skills and experience; preferred items listed separately.
- Proficiency in microscopy techniques.
- Knowledge of semiconductor device physics and circuit design.
- Basic scripting skills in Python or comparable programming language.
- Experience with data analysis tools (examples in preferred list) and the ability to apply data-driven methods to yield issues.
Nice-to-have:
- Hands-on experience with semiconductor manufacturing processes or engineering analysis tools.
- Familiarity with data analysis platforms such as JMP, MATLAB, or similar tools.
- Experience with image analysis software and visual computing systems.
- Strong academic performance (GPA ~3.0 noted as a guideline).
Education Requirements
Must be actively pursuing a Ph.D. in Chemical Engineering, Physics, Electrical Engineering, Materials Science, Chemistry, or a related scientific field. Preferred candidates are 2nd or 3rd-year Ph.D. students with coursework in semiconductor physics, electronics, or solid-state physics.
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.
