Process Integration and Yield Engineering PhD Intern Repeat

Intel Corporation; Hillsboro (OR); On-site; USD 121,000 - 122,000; Full time

Job summary

Intel Corporation in Hillsboro, Oregon seeks a PhD Intern to help develop and optimize semiconductor processes and integration flows. You will analyze defect data, perform experiments, and support yield improvement initiatives while collaborating with cross-functional teams.

The role emphasizes hands-on problem solving and opportunities to advance in Intel Foundry. The position requires pursuing a PhD in physics, electrical engineering, materials science, or chemistry, with microscopy

Qualifications

• Pursuing a PhD in a science or engineering field.
• Proficiency in microscopy techniques.
• Basic scripting in Python.
• Understanding scan methodologies and ATPG concepts.

Responsibilities

• Develop and optimize module processes and integration flows for semiconductor manufacturing.
• Analyze defect data, run experiments, and support yield improvement efforts.
• Collaborate with engineering teams to troubleshoot process flow issues.
• Apply data analysis to improve process performance and efficiency.
• Contribute to continuous improvement for production quality and output.
• Engage in hands-on projects to explore future career opportunities.

Skills

Microscopy

Circuit design

Semiconductor physics

Python

Education

PhD candidate in Physics/Electrical Engineering/Materials/Chemistry

Tools

JMP

MATLAB

Job description

Job Details: Job Description:

The Role and Impact: As a Process Integration and Yield Engineering PhD Intern at Intel, you will be at the forefront of semiconductor manufacturing innovation. In this role, you will contribute to the development and optimization of cutting-edge manufacturing processes and technologies that shape integration flows, enhance defect management strategies, and improve process yields in high-volume production environments. Collaborating with cross-functional engineering teams, you will address complex technical challenges, troubleshoot process issues, and drive continuous improvement initiatives. This hands-on internship offers an opportunity to refine your expertise, develop critical technical skills, and contribute meaningfully to Intel's mission of delivering world-class semiconductor products.

Business Group:

Intel Foundry plays a pivotal role in advancing Intel's leadership in semiconductor manufacturing. As a member of this team, you will contribute to Intel's efforts to develop innovative technologies that power industry-leading products and enrich lives worldwide. The group focuses on optimizing manufacturing processes and driving continuous improvements to enable efficiency, quality, and scalability in high-volume production environments.

Key Responsibilities:

• Contribute to the development and optimization of module processes and integration flows for semiconductor manufacturing.
• Analyze defect data, conduct experiments, and assist in risk assessments to support yield improvement initiatives.
• Collaborate with engineering teams to troubleshoot process flow issues and optimize metrology strategies.
• Apply data analysis techniques to improve process performance and manufacturing efficiency.
• Participate in continuous improvement efforts focused on enhancing production quality and output.
• Engage in hands-on projects to explore future career opportunities and support Intel's business goals.

Qualifications:

Minimum Qualifications:

• Actively pursuing a PhD in Physics, Electrical Engineering, Material Science, or Chemistry.
• Proficiency in microscopy techniques.
• Background in circuit design and semiconductor device physics.
• Basic scripting knowledge in Python or comparable programming languages.
• Understanding of scan methodologies and automatic test pattern generation.

Preferred Qualifications:

• 2nd or 3rd-year PhD candidates with coursework in computer science (basic algorithms), solid-state physics, semiconductor physics, electronics/circuit design, or silicon process technologies.
• Familiarity with image analysis software and experience with visual computing systems.
• Hands-on experience with semiconductor manufacturing processes, microscopy techniques, or engineering tools.
• Proficiency with data analysis platforms such as JMP, Python, or MATLAB.

Explore this exciting opportunity to advance your technical expertise, contribute to Intel's industry leadership, and shape the future of semiconductor manufacturing.

Job Type: Student / Intern Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust N/A

Benefits We offer a total compensation package that ranks among the best in the industry:

It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $120,898.00-120,902.00 USD

Work Model for this Role

This role will require an on-site presence.

* Job posting details (such as work model, location or time type) are subject to change.

* ADDITIONAL INFORMATION:

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel's official careers website. Find your next job and take on projects that shape tomorrow's technology.

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