Intel
Process Integ and Yield Eng PhD Intern Grade 029
US, Oregon, Hillsboro · Intern · Internship
Sponsorship not specifiedDetected 1 day ago
PythonC++CMATLABSQLMachine LearningData AnalysisFigmaMechanical DesignElectrical EngineeringMicroscopyResearchCommunicationProblem Solving
Stay score
odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 333 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 74%
Of 318 labor certifications old enough to have been used, 83 expired without the employer filing the next step. Median time from filing to decision: 508 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Reported a layoff in this occupation
In a green-card filing decided 2026-05-14, this employer stated it had laid off workers in Software Developers (CA) during the preceding six months. 3 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.
Files H-1B transfers
33 transfer filings in the last year, covering 33 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- As a Process Integration and Yield Engineering PhD Intern, you will contribute to the development and optimization of advanced semiconductor manufacturing processes.
- Your contributions will play a pivotal role in advancing Intel's cutting-edge semiconductor technologies.
- Intel Foundry is a global leader in semiconductor manufacturing, focused on delivering innovative technologies that power the world's most advanced products.
Responsibilities
- Collaborate with cross-functional engineering teams to troubleshoot process flow issues and optimize metrology strategies.
- In this hands-on role, you will analyze defect data, conduct experiments, and enhance process integration flows to support yield improvement initiatives.
Requirements
- Must be currently pursuing a PhD degree in C hemistry, Physics, Material Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science or related STEM Degree.
- Proficiency in data analysis tools and methods.
- You must possess the below minimum qualifications to be initially considered for this position.
- Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.
- Our standard internship rates are based on your degree, location, and the job role.
- Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates.
Nice to have
- Hands-on experience with semiconductor fabrication, process integration, or yield engineering.
- Knowledge of semiconductor device physics and manufacturing fundamentals.
- Experience with Transistor Device Structures and Device Physics.
- Experience with Semiconductor materials, fabrication, and device physics.
- Experience with Semiconductor Devices (transistor, diode, etc.)
- Experience with microscopy or materials characterization techniques.
- Experience working in cleanroom, laboratory, or advanced manufacturing environments.
- Strong analytical, problem-solving, and data interpretation skills.
Skills
- Contribute to the development and refinement of module processes and integration flows for semiconductor manufacturing.
- Analyze defect data, conduct experiments, and assist with risk assessments to enhance yield improvement initiatives.
- Apply advanced data analysis techniques to improve process performance and production efficiency.
- Participate in continuous improvement efforts focused on enhancing manufacturing quality and scalability in high-volume environments.
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.
- Engage in hands-on learning through innovative projects that align with Intel's business goals and prepare you for future career opportunities.
Company info
- 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.