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Intel
Intel

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WLA Yield Defect Metrology Engineer at Intel

RoleData Science
LevelMid Level
LocationUnited States, Oregon, Hillsboro
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

Job Details:

Job Description:

Join Intel as a Yield Development Engineer, where your expertise will drive innovation and excellence in technology development. In this position, you will play a pivotal role in optimizing manufacturing processes, driving yield improvement, and ensuring product integrity. Your contributions will directly impact Intel's ability to deliver cutting-edge products with superior quality and performance. This role offers an exciting opportunity to collaborate with multidisciplinary teams, leverage advanced analytics, and push the boundaries of semiconductor manufacturing.

Key Responsibilities:

  • Provide process development direction throughout the lifecycle of a technology node by identifying root cause yield limiters.
  • Perform statistical analysis and develop visualizations to construct accurate process development roadmaps that drive technology yield milestones.
  • Develop systems and methodologies to consolidate diverse big data sources for defect mode understanding and yield modeling.
  • Organize and interpret fab process, defect, and electrical data, detecting anomalies and driving process changes to enhance yield.
  • Apply statistics, machine learning, and coding techniques to extract insights from structured and unstructured data.
  • Transform experimental and manufacturing data into actionable yield improvement strategies using knowledge of product design and test features.
  • Analyze manufacturability over process and product design, resolving yield issues before manufacturing ramp.
  • Execute new product introductions and support design-technology co-optimization.
  • Collaborate across cross-functional teams to debug yield limiters in design, test, and process development areas.
  • Develop and implement high-volume data analysis tools, algorithms, and methodologies for yield improvement.
  • Perform fault isolation and failure analysis using various tools and techniques to determine root cause failures.
  • Drive improvements to measurement recipes to provide accurate feedback on product integrity and resolve issues impacting yield or product quality.
  • Harden and drive improvements to equipment/process to meet operational and capability needs for advanced logic nodes.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates

Minimum Qualifications

  • Bachelor’s degree degree in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Chemistry, Physics, or another STEM-related field with 8+ years of relevant experience,
  • or Master’s degree degree in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Chemistry, Physics, or another STEM-related field with6+ years,
  • or PhD degree in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Chemistry, Physics, or another STEM-related field with4+ years of relevant experience.

Experience listed above should be a combination of the following:

  • Metrology and defect inspection equipment experience
  • Defect detection, defect density analysis, and yield improvement
  • Failure mode analysis and process integration
  • Yield improvement methodologies with disciplined execution
  • Statistics and data analytics

Preferred Qualifications:

  • Statistical analysis, data visualization, and machine learning techniques.
  • Experience in semiconductor manufacturing or yield development.
  • Strong collaboration and problem-solving skills, with a proven track record of working in cross-functional teams.
  • Ability to synthesize complex data into actionable insights and communicate findings effectively.
  • Demonstrated ability to drive innovation in process and yield optimization.

Ready to make an impact and drive the future of technology? Apply today and join Intel in shaping the next generation of innovation.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

Business group:

Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

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: $155,520.00-219,550.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location 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.

Required skills

Yield development

Statistical analysis

Data modeling

Machine learning

Defect analysis

Manufacturing analytics

Process development

Data visualization

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About Intel

Intel

Intel

Public

Intel Corporation is an American multinational technology company headquartered in Santa Clara, California. It designs, manufactures, and sells computer components such as central processing units (CPUs) and related products for business and consumer markets.

120,000+

Employees

Santa Clara

Headquarters

$200B

Valuation

Reviews

10 reviews

3.4

10 reviews

Work-life balance

2.5

Compensation

4.0

Culture

3.5

Career

3.0

Management

2.5

65%

Recommend to a friend

Pros

Good benefits and compensation

Innovative technology and projects

Collaborative supportive environment

Cons

Work-life balance challenges and long hours

Management issues and disorganization

High-pressure stressful environment

Salary Ranges

18 data points

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Data Scientist Grade 5

0 reports

$122,406

total per year

Base

-

Stock

-

Bonus

-

$104,045

$140,767

Interview experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience