Intel
Module Engineering - PhD Intern (Wet Etch)
US, Oregon, Hillsboro · Intern · Internship
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About the role
- In this role, you will contribute directly to advancing Intel's technology by collaborating on experiments, analyzing data, and identifying innovative solutions to engineering challenges.
- Your daily work will play a key role in driving efficiency, quality, and innovation for Intel's manufacturing operations.
- The Intel Foundry team is dedicated to delivering groundbreaking semiconductor solutions that empower innovation across industries and enable a smarter, more connected future.
Responsibilities
- Collaborate with engineering teams to design, execute, and analyze process experiments to optimize Wet Etch module performance.
- Support ongoing process documentation, ensuring accuracy and compliance with industry standards.
- Join us as a Module Engineering PhD Intern, where you will work hands-on to support the development, optimization, and implementation of cutting-edge semiconductor manufacturing processes.
Requirements
- Currently pursuing a PhD degree in a relevant STEM discipline (e.g. Physics, Applied Chemistry, Chemical Engineering, Electronic Engineering, Mechanical Engineering, Computer Science, Data Science, etc.).
- Experience writing software code for application in above majors
- Our standard internship rates are based on your degree, location, and the job role.
- Strong analytical and problem-solving skills.
- Excellent communication skills - both written and verbal.
- Ability to work independently and as part of a diverse, high-performing team.
- Willingness to work in a cleanroom environment.
- Strong attention to detail and disciplined approach to procedures.
- Data analysis skills with demonstrated ability to construct clear data-based problem statements, design of experiment.
Nice to have
- Experience with data analysis tools and software (e.g. JMP, Python, Excel).
- Ability to summarize data for technical and non-technical audiences.
- GPA 3.5 or higher preferred.
- Experience working in a Semiconductor fabrication and or Wet Etch environment
- Bring your passion for engineering excellence and innovation to Intel and contribute to shaping the future of technology.
- Join us on this exciting journey and accelerate your career development while making an impact.
- Student / Intern
- Shift 1 (United States of America)
Skills
- Utilize statistical analysis and data interpretation methods to identify opportunities for process improvements.
- Contribute to the evaluation and implementation of novel manufacturing techniques and technologies.
- Troubleshoot engineering issues and provide innovative recommendations to enhance module performance.
- Work cross-functionally with technical teams to ensure alignment with broader manufacturing objectives.
Compensation
- 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.
- Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
- Annual Salary Range for jobs which could be performed in the US:
- $120,898.00-120,902.00 USD
Benefits
- 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.
- Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment.
Company info
- As part of the Wet Etch group, you will work within a team focused on process engineering for advanced manufacturing technologies.
- The team's mission is to ensure Intel's leadership in semiconductor fabrication by driving excellence in process design, execution, and continuous improvement to support Intel's broader technology goals.
- We offer a total compensation package that ranks among the best in the industry.
This listing is sourced directly from Intel's careers page and normalized into a canonical job model.