Ocotillo Technology Fabrication Defect Metrology Equipment Engineer

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below.

Life at Intel

Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

Intel Foundry is increasing its investment in defect metrology technology, implementing a new Win It Inline initiative using advanced real-time monitoring to improve yield learning cycles. Investing in inline metrology will give engineers more data throughout the manufacturing process, as opposed to waiting for end of the line data - a fundamental shift in how we leverage data to build chips. Role Overview: As a Defect Metrology Equipment Engineer, you will play a critical role in optimizing and maintaining metrology systems for manufacturing. You will collaborate closely with equipment development, operations, automation, and manufacturing teams to enhance yield systems and ensure product integrity.

Responsibilities will include but are not limited to:

• Perform statistical analysis and develop visualizations to construct accurate process development roadmaps.
• Develop methods and systems to analyze diverse big data sources, leading to yield modeling and process roadmap definition.
• Develop and maintain systems that enable faster interpretation of fab process, defect, and electrical data to drive process changes for yield enhancement.
• Transform experimental and manufacturing data into yield improvement actions.
• Ensure manufacturability over process and product design through thorough analysis.
• Execute new product introductions and participate in design of experiments.
• Develop tools and algorithms for high-volume data analysis to identify yield limiters.
• Harden equipment systems to meet operational needs for leading-edge logic nodes.
• Develop AI/ML applications to improve patterning solutions and design efficiency.
• Collaborate with internal teams to ensure data integrity and implement custom algorithms.

You must possess the below minimum qualifications 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.

Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

• 3+ months experience with Yield and Defect Metrology equipment (e.g. KLA, AMAT, ASML HMI, TEL, Keysight, Advantest, and Hitachi).
• Bachelor's Degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics, or related field of study AND 2+ years relevant experience OR
• Master's degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics, or related field of study AND 1+ years relevant experience.

Preferred Qualifications:

•Advanced degree and 2+ years of applications experience with defect metrology tools.

• Knowledge of Semiconductor fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.), Statistical Process Control and Design of experiments (DOE) principles, Statistical Data Analysis. (Examples include: JMP/JSL, Python, SQL) and/or Programing Experience in JMP/JSL, Python, R and SQL.
• Experience in Laser Optics, Scanning Electron Microscopy, Digital Signal Processing, and Image Processing.
• Experience in technical documentation, training, and project management.
• 3+ years of New Technology startup experience.
• 3+ years of relevant experience in Process/Yield Engineering.
• Demonstrate strong technical and troubleshooting skills.
• Experience in manufacturing environment.
• Experience in metrology.
• Demonstrate exceptional customer orientation.
• Demonstrate the ability to work across organizational boundaries including process engineering, integration and yield.
• Good communication skills with a high tolerance to ambiguous and changing situations

Benefits at Intel

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to

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.