Ocotillo Technology Fabrication Defect Metrology Equipment Engineer

Intel Corporation; Phoenix (AZ); Sur place; USD 89 000 - 171 000; Plein temps

Résumé du poste

Intel Corporation in Phoenix, AZ seeks a Defect Metrology Equipment Engineer to optimize metrology systems and drive yield improvements in advanced semiconductor manufacturing. You will collaborate with equipment development, operations, automation, and manufacturing teams to enable faster data interpretation and actionable improvements.

The role emphasizes data-driven decision making, DOE studies, and developing tools for high-volume data analysis while supporting new technology introductions

Qualifications

• 3+ months experience with Yield and Defect Metrology equipment.
• Bachelor's or Master's degree in a related engineering/SCience field with relevant experience.

Responsabilités

• Analyze process data and develop yield improvement roadmaps.
• Maintain and optimize metrology systems across the fab.
• Develop AI/ML applications to improve patterning and design efficiency.
• Collaborate with cross-functional teams to ensure data integrity.

Connaissances

Yield metrology

Statistical analysis

DOE

Data visualization

Machine learning

Communication

Formation

Bachelor's degree in Electrical Engineering

Master's degree in Electrical Engineering

Outils

Python

JMP/JSL

SQL

R

Description du poste

## Job Description: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.## **Qualifications:**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 **Intel Benefits | Intel Careers** for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.## Job Type:Experienced Hire## Shift:Shift 1 (United States of America)## Primary Location:US, Arizona, Phoenix## Additional Locations:## 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 TrustN/A## BenefitsWe 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: $89,010.00-170,630.00 USDThe 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.