Job Details:

Job Description:

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 with 6+ 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 with 4+ 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.

Job Type:
Experienced Hire

Shift:
Shift 1 (United States of America)

Primary Location:
US, Oregon, Hillsboro

Additional Locations:

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.