Module Engineering PhD Intern New 2027

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

Benefits offered by this job

Stock bonuses

Health insurance

Retirement plan

Vacation

Job summary

Intel Foundry is seeking a Module Engineering PhD Intern to contribute to the development and implementation of manufacturing processes within a module in semiconductor manufacturing. You will support troubleshooting, maintenance, and qualification of equipment, while exploring process optimization to meet production targets.

This on-site internship offers hands-on experience in collaboration with engineering teams, focusing on process control methodologies and real-world manufacturing

Qualifications

• Actively pursuing Doctor of Philosophy (PhD) Degree in Physics, Material Science, Chemistry, Chemical Engineering, Electrical Engineering, Mechanical Engineering, or a related field.
• Demonstrated skills through academic research, coursework, or hands‑on training in areas such as semiconductor processing, manufacturing equipment, or advanced materials.
• Familiarity with process control techniques and methodologies.
• Technical proficiency in analyzing data and identifying process optimization opportunities.

Responsibilities

• Assist in developing and refining manufacturing processes for semiconductor modules.
• Support equipment troubleshooting, maintenance, and qualification activities to ensure optimal performance.
• Collaborate with engineering teams to optimize process control methodologies and enhance production efficiency.
• Work on projects that address real-world manufacturing challenges, applying your technical knowledge and research skills.
• Participate in learning opportunities and build skills to explore future career paths in semiconductor manufacturing.

Skills

PhD candidate

Process control knowledge

Data analysis

Semiconductor equipment experience

Education

PhD in Physics/Materials/Chemical Eng or related field

Tools

Scientific equipment maintenance

Lab instrumentation

Job description

Job Details:

Job Description:

The Role and Impact

As a Module Engineering PhD Intern, you will actively contribute to the development and implementation of manufacturing processes within a specific module in semiconductor manufacturing. Your day-to-day activities will include supporting equipment troubleshooting, maintenance, and qualification, while exploring process optimization opportunities to ensure production targets are met. This hands‑on internship will provide you with invaluable experience and help you build skills in a collaborative and growth-oriented environment.

Business group

Intel Foundry is dedicated to advancing semiconductor manufacturing and delivering innovative solutions to customers worldwide. As part of this organization, you will join a team focused on improving manufacturing processes and equipment performance, supporting Intel's broader goals of driving technological excellence in the industry. The group fosters an environment of collaboration and innovation, empowering individuals to contribute meaningfully to Intel's success.

Key Responsibilities

• Assist in developing and refining manufacturing processes for semiconductor modules.
• Support equipment troubleshooting, maintenance, and qualification activities to ensure optimal performance.
• Collaborate with engineering teams to optimize process control methodologies and enhance production efficiency.
• Work on projects that address real-world manufacturing challenges, applying your technical knowledge and research skills.
• Participate in learning opportunities and build skills to explore future career paths in semiconductor manufacturing.

Qualifications:

Minimum Qualifications

• Actively pursuing Doctor of Philosophy (PhD) Degree in Physics, Material Science, Chemistry, Chemical Engineering, Electrical Engineering, Mechanical Engineering, or a related field.
• Demonstrated skills through academic research, coursework, or hands‑on training in areas such as semiconductor processing, manufacturing equipment, or advanced materials.
• Familiarity with process control techniques and methodologies.
• Technical proficiency in analyzing data and identifying process optimization opportunities.

Preferred Qualifications

• Hands‑on experience using and maintaining scientific equipment, research experience, experimental and data analysis expertise.
• Semiconductor device research, development or characterization experience

This is your opportunity to gain hands‑on experience, explore career possibilities, and contribute to impactful projects within Intel's dynamic and innovative semiconductor manufacturing environment.

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. 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

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. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

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.