Ocotillo Technology Fabrication Defect Metrology Systems Engineer

Job Details:

Job Description: 

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.

About Us: Intel is a global leader in semiconductor technology, driving innovation and excellence in everything we do. Our Foundry Technology Development Yield team is dedicated to delivering high-quality, end-to-end solutions that meet the evolving needs of our customers. We foster a collaborative and fast-paced environment where flexibility and adaptability are key to success.

Role Overview: As a Yield System Development Engineer, with a software emphasis, you will play a critical role in optimizing and maintaining metrology systems for development and manufacturing. You will collaborate closely with equipment development, operations, automation, and manufacturing teams to enhance yield systems and ensure product integrity.

Key Responsibilities:

• 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.
• Apply statistics, machine learning, and coding techniques to extract insights from large volumes of data.
• 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.

Minimum Requirements:

• Bachelor's degree with 2+ years in Engineering or Science disciplines such as Software Engineering, Computer Science Engineering, Electrical, Applied Physics, Chemistry, Materials Science, or Chemical Engineering OR Master's degree or higher.
• Experience with software coding (i.e. Python, C#/.NET, HTML, JavaScript etc.) with an emphasis in ML/AI.
• Experience with statistical analysis and analytical methods.
• Experience in application of domain knowledge to curate analysis-ready datasets.
• 1+ years of experience in an advanced manufacturing environment (semiconductor device fabrication, packaging, or assembly, aerospace, pharmaceuticals, etc.)
• At least two (2) of the following:
  • Working knowledge of source control tools (Git)
  • SQL proficiency (intermediate or better)
  • 2+ years of experience maintaining and troubleshooting manufacturing automation systems

Preferred Qualifications:

• US Citizenship
• Active or Ability to obtain and maintain a US Government TS/SCI Security Clearance with Polygraph.
• Experience with high degree of customer service mindset and experience working with external and internal partners.
• Experience in technical documentation, training, and project management.

          

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 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: $89,010.00-170,630.00 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.

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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.