IntelProcess Integration & Yield Engineering PhD Intern
Intel is hiring a Process Integration & Yield Engineering PhD Intern. It pays $121k a year and Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Microscopy, Statistical Analysis and semiconductor processing among its tools and skills.
- Level classes it as an internship.
- Intel has 734 other open roles on Level.
- This posting went up within the past week.
AI in this role
Optimize semiconductor manufacturing processes and investigate yield-impacting defects as a PhD intern.
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.
Join Intel and help drive the future of semiconductor manufacturing through data-driven innovation, process optimization, and engineering excellence.
Job Type:
Student / InternShift:
Shift 1 (United States of America)Primary Location:
US, Oregon, HillsboroAdditional 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/ABenefits
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.*
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.How we rate this
Process Integration & Yield Engineering PhD Intern at Intel rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where semiconductor processing was part of your work. What did you do?
- Tell me about a project where yield engineering was part of your work. What did you do?
- Tell me about a project where process integration was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where materials characterization was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Semiconductor Processing, Yield Engineering, Process Integration, Data Analytics, and Materials Characterization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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