Intel
Process Integration & Yield Engineering PhD Intern
US, Oregon, Hillsboro · Intern · Internship
Sponsorship not specifiedDetected 6 days ago
PythonMATLABMachine LearningData AnalysisStatisticsProcess ImprovementMechanical DesignElectrical EngineeringMicroscopyResearchCommunicationProblem Solving
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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.
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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.
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About the role
- As a Process Integration and Yield Engineering PhD Intern, you will contribute to the development and optimization of advanced semiconductor manufacturing technologies.
- 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.
Responsibilities
- 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.
- Develop technical reports and present findings to engineering stakeholders.
- 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.
Requirements
- Strong academic performance with a cumulative GPA of 3.0 or higher required
- Our standard internship rates are based on your degree, location, and the job role.
- Currently pursuing a PhD in Materials Science, Electrical Engineering, Chemical Engineering, Chemistry, Mechanical Engineering, Physics, Computer Science or a related technical field.
- 3+ months of educational, research, laboratory, internship, or industry experience
Nice to have
- 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 semiconductor device physics and manufacturing fundamentals.
- 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
- Analyze yield, defect, and process data to identify trends, root causes, and improvement opportunities.
- 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.
- Participate in continuous improvement projects focused on advancing manufacturing quality, productivity, and reliability.
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
- Our teams develop and optimize manufacturing solutions that enable industry-leading products while maintaining the highest standards of quality, reliability, and operational efficiency.
- 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.