
Intel inside.
WLA Yield Defect Metrology Engineer at Intel
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
Total Views
0
Total Apply Clicks
0
Total Mock Apply
0
Total Bookmarks
0
More open roles at Intel
Similar jobs

Stage - Automne 2026 - Science des données / Internship - Fall 2026 - Data Science
Collins Aerospace (RTX) · CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG

Senior Data Scientist & Machine Learning Researcher
RTX (Raytheon) · Gloucester; Manchester

Data Scientist & Machine Learning Researcher
RTX (Raytheon) · Gloucester; Manchester

Data Scientist Specialist
3M · US, Minnesota, Maplewood

Data Science Practitioner
Accenture
About Intel

Intel
PublicIntel 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
Latest updates
US special forces soldier accused of using secret intel to win $400K on Maduro raid unmasked as he’s granted bond - New York Post
New York Post
News
·
2w ago
Stock Market Gains As Intel Drives Chip Surge; Fed Meeting, Powell On Deck - Investor's Business Daily
Investor's Business Daily
News
·
2w ago
Anything Intel Can Do, Advanced Micro Devices Might Be Able to Do Better - Barron's
Barron's
News
·
2w ago
'Fast Money' traders talk Intel's record trading day - CNBC
CNBC
News
·
2w ago