WLA Yield Defect Metrology Engineer

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.

Requirements

• 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
• 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
• 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:

Additional Information

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.

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