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Intel

Process Integration and Yield Eng PhD Intern, 2027

Intel is hiring a Process Integration and Yield Eng PhD Intern, 2027. It pays $121k a year and Level rates it ; you can apply on Level.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions Python, Jmp and Excel 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

Analyze defect data and conduct experiments to optimize semiconductor manufacturing and yield improvement.

pythonjmpexcel
semiconductor-manufacturingyield-engineeringdefect-analysisdesign-of-experiments
Job Details:

Job Description: 

The Role and Impact:
As a Process Integration and Yield Engineering PhD Intern, you will play a critical role in advancing semiconductor manufacturing processes. In this hands-on position, you will analyze defect data, conduct experiments, and optimize process integration flows while contributing to yield improvement initiatives. Collaborating closely with engineering teams, you will address technical challenges, troubleshoot process issues, and refine metrology strategies in a high-volume manufacturing environment.

Business group:
Intel Foundry is dedicated to enabling cutting-edge semiconductor technologies that power the world's innovations. As part of this group, you will contribute to the development and optimization of manufacturing processes that drive Intel's industry-leading products and help achieve its mission of technological excellence and operational efficiency.

Key Responsibilities:
- Analyze defect data to identify trends and recommend process adjustments.
- Conduct experiments to evaluate and optimize process integration flows.
- Collaborate with cross-functional engineering teams to troubleshoot process flow issues and enhance metrology strategies.
- Assist in risk assessments and support yield improvement initiatives.
- Apply data analysis techniques to improve process performance and production efficiency.
- Participate in continuous improvement projects within high-volume manufacturing environments.


May 2027 Start for 3-6 month duration

Qualifications:

Minimum Qualifications:
Must be pursuing PhD degree in Electrical Engineering, Physics, Material Science, Chemical engineering or scientific field of study directly related to Semiconductor.
Minimum of 6 months of experience in one or more of the following:
Experience with Semiconductor materials, fabrication, and device physics.
Electrical understanding of Semiconductor Devices (transistor, diode, etc.)
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.
Strong attention to detail and disciplined approach to procedures.

3.0 + GPA

Preferred Qualifications:
Experience with data analysis tools and software (e.g. JMP, Python, Excel).
Ability to summarize data for technical and non-technical audiences.
Advanced Transistor Device Structures and Device Physics.
Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools.
Expertise in database structures, research methods, machine learning, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., Python, JSL, Perl, TCL), or programming languages i.e., SQL, C/C++

We invite you to join Intel and collaborate with leading experts to shape the future of semiconductor manufacturing. Take the opportunity to grow your expertise, make an impact, and contribute to groundbreaking innovations. Apply today.


Location & Immigration Information

As you consider the opportunity to join Intel, relocation assistance may be available based on eligibility, current location, and the specifics of the role.

Job location and modality of work will be communicated at time of offer. This position is not available in the state of Colorado.

This position is not eligible for employment-based visa/immigration sponsorship.

Intel sponsors individuals for employment-based visas for positions where we experience a shortage of U.S. workers. These skills shortage roles are typically STEM positions requiring a Master's or PhD degree, or a Bachelor's degree with at least three years of post-degree related job experience. This position does not qualify for Intel sponsorship because it is either a non-STEM position, or a STEM position that only requires a Bachelor's degree and less than three years' experience.

For information on Intel's immigration sponsorship guidelines, please see: https://www.intel.com/content/www/us/en/jobs/hiring.html

          

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

 

 

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 and Yield Eng PhD Intern, 2027 at Intel rates 0 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Semiconductor ManufacturingYield EngineeringDefect AnalysisDesign Of ExperimentsPythonJmpExcel

Questions you could be asked

  1. Tell me about a project where semiconductor manufacturing was part of your work. What did you do?
  2. Tell me about a project where yield engineering was part of your work. What did you do?
  3. Tell me about a project where defect analysis was part of your work. What did you do?
  4. Tell me about a project where design of experiments was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Semiconductor Manufacturing, Yield Engineering, Defect Analysis, Design Of Experiments, and Python. 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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