Process Integration & Yield Engineering PhD Intern

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

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Job summary

Intel Corporation in Hillsboro, Oregon, is seeking a Process Integration and Yield Engineering PhD Intern. You will analyze process performance, defects, and yield data, and collaborate with cross-functional teams to implement improvements in a high-volume semiconductor environment.

Minimum qualifications include pursuing a PhD in a related field with a 3.0+ GPA and 3+ months of relevant experience. The role emphasizes data analytics, materials characterization, and hands-on fabrication methods.

Qualifications

• PhD candidate in Materials Science, Electrical/Chemical/Mechanical Engineering, Physics, Chemistry or CS with strong GPA (3.0+).
• 3+ months of educational, research, lab, internship, or industry experience preferred.
• Hands-on semiconductor fabrication or yield engineering experience is a plus.

Responsibilities

• Analyze yield, defect, and process data to identify trends and improvements.
• Support process integration activities across fabrication operations.
• Design and execute experiments to evaluate process performance.
• Collaborate with cross-functional teams to troubleshoot issues and implement corrective actions.
• Use microscopy and characterization techniques to investigate defects.
• Apply statistics and data-driven methods to improve process capability.
• Contribute to yield improvement initiatives and risk assessments.
• Develop technical reports and present findings to engineers.
• Participate in continuous improvement projects for quality and reliability.

Skills

Python

MATLAB

JMP

Education

PhD in a related field

Tools

Python

MATLAB

JMP

Job description

Job Details: Job Description: The Role and Impact

As a Process Integration and Yield Engineering PhD Intern, you will contribute to the development and optimization of advanced semiconductor manufacturing technologies. In this role, you will work closely with engineers and researchers to analyze process performance, investigate yield-impacting defects, and develop solutions that improve manufacturing efficiency and product quality. This internship offers a unique opportunity to apply your technical expertise in semiconductor processing, materials characterization, and data analytics to real-world manufacturing challenges. You will gain hands‑on experience in a high‑volume production environment while contributing to the development of next‑generation semiconductor technologies.

Business Group Intel Foundry is at the forefront of semiconductor manufacturing, driving innovation through advanced process technologies and world‑class engineering excellence. Our teams develop and optimize manufacturing solutions that enable industry‑leading products while maintaining the highest standards of quality, reliability, and operational efficiency.

Key Responsibilities

• Analyze yield, defect, and process data to identify trends, root causes, and improvement opportunities.
• Support process integration activities across multiple semiconductor fabrication operations.
• Design and execute experiments to evaluate process performance and optimize manufacturing outcomes.
• Partner with cross‑functional engineering teams to troubleshoot technical issues and implement corrective actions.
• Utilize microscopy and characterization techniques to investigate defects and process‑related challenges.
• Apply statistical analysis and data‑driven methodologies to enhance process capability and manufacturing efficiency.
• Contribute to yield improvement initiatives through risk assessments, problem‑solving, and innovative engineering solutions.
• Develop technical reports and present findings to engineering stakeholders.
• Participate in continuous improvement projects focused on advancing manufacturing quality, productivity, and reliability.

Qualifications

Minimum Qualifications

Currently pursuing a PhD in Materials Science, Electrical Engineering, Chemical Engineering, Chemistry, Mechanical Engineering, Physics, Computer Science or a related technical field. Strong academic performance with a cumulative GPA of 3.0 or higher required 3+ months of educational, research, laboratory, internship, or industry experience.

Preferred Qualifications

• Hands‑on experience with semiconductor fabrication, process integration, or yield engineering.
• Proficiency with data analysis and visualization tools such as JMP, Python, MATLAB, or equivalent.
• Knowledge of Statistical Process Control (SPC), Design of Experiments (DOE), or machine learning techniques.
• Knowledge of semiconductor device physics and manufacturing fundamentals.
• Experience with microscopy or materials characterization techniques.
• Experience working in cleanroom, laboratory, or advanced manufacturing environments.
• Strong communication skills and ability to collaborate effectively across multidisciplinary teams.
• Strong analytical, problem‑solving, and data interpretation skills.

Job Type: Student / Intern

Shift: Shift 1 (United States of America)

Primary Location: US, Oregon, Hillsboro

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.
• Annual Salary Range for jobs which could be performed in the US: $120,898.00-120,902.00 USD
• The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
• Our standard internship rates are based on your degree, location, and the job role.

Work Model for this Role

This role will require an on‑site presence.