Process Integration and Yield Eng PhD Intern, 2027

Intel Corporation • Hillsboro, OR

12d • $120,898 - $120,902 • Onsite

About The Position

As a Process Integration and Yield Engineering PhD Intern, you will help advance semiconductor manufacturing processes. In this hands-on role, you will analyze defect data, conduct experiments, and optimize process integration flows while contributing to yield improvement initiatives. You will collaborate with engineering teams to address technical challenges, troubleshoot process issues, and refine metrology strategies in a high-volume manufacturing environment.

Intel Foundry enables semiconductor technologies and develops and optimizes manufacturing processes. The position is based in Hillsboro, Oregon, and requires an on-site presence. The job location and work modality may change and will be communicated at the time of offer. The position is not available in Colorado and is not eligible for employment-based visa or immigration sponsorship. Relocation assistance may be available based on eligibility, current location, and role specifics.

This student internship is expected to start in May 2027 and last 3–6 months. The annual salary range listed for U.S. locations is $120,898–$120,902; standard internship rates depend on degree, location, and role, and the recruiter can provide details for the preferred location and role.

Requirements

• Must be pursuing a PhD in Electrical Engineering, Physics, Material Science, Chemical Engineering, or a scientific field directly related to semiconductors.
• At least 6 months of experience in one or more of the following: semiconductor materials, fabrication, and device physics; electrical understanding of semiconductor devices such as transistors and diodes; strong analytical and problem-solving skills; excellent written and verbal communication; ability to work independently and as part of a diverse, high-performing team; or strong attention to detail and a disciplined approach to procedures.
• GPA of 3.0 or higher.

Nice To Haves

• Experience with data analysis tools and software such as JMP, Python, or Excel.
• Ability to summarize data for technical and non-technical audiences.
• Knowledge of advanced transistor device structures and device physics.
• Knowledge of Statistical Process Control (SPC), Design of Experiments (DOE), and engineering analysis tools.
• Expertise in database structures, research methods, machine learning, analytics packages such as JMP, MATLAB, or Octave, scripting languages such as Python, JSL, Perl, or TCL, or programming languages such as SQL or C/C++.

Responsibilities

• Analyze defect data to identify trends and recommend process adjustments.
• Conduct experiments to evaluate and optimize process integration flows.
• Collaborate with cross-functional engineering teams to troubleshoot process flow issues and enhance metrology strategies.
• Assist in risk assessments and support yield improvement initiatives.
• Apply data analysis techniques to improve process performance and production efficiency.
• Participate in continuous improvement projects within high-volume manufacturing environments.

Benefits

• Competitive pay
• Stock bonuses
• Health benefits
• Retirement benefits
• Vacation
• Relocation assistance may be available based on eligibility, current location, and role specifics.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree