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Defect Metrology Engineer Jobs in Arizona (NOW HIRING)

Data Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

The successful candidate will work closely with process engineers, equipment engineers, metrology ... defect pattern analysis and tool health / process drift monitoring * Build proof-of-concepts to ...

The successful candidate will work closely with process engineers, equipment engineers, metrology ... defect pattern analysis and tool health / process drift monitoring * Build proof-of-concepts to ...

Wet Clean * ME : Metrology * Etch : Wet Etch and Dry Etch * LIT : Lithography : Your main ... Improving tool uptime availability and driving defect reduction. * Identifying and pursuing ...

Wet Clean * ME : Metrology * Etch : Wet Etch and Dry Etch * LIT : Lithography : Your main ... Improving tool uptime availability and driving defect reduction. * Identifying and pursuing ...

... metrology, and system design to enable new product designs and functional requirements * Performs ... defect mechanisms * Demonstrated record of delivering dry etch process solutions that improved ...

... metrology, and system design Process Optimization & Innovation * Optimize production output for ... defect reductions. Preferred Qualifications * Advanced degree (MS/PhD) in Electrical Engineering ...

Showing results 41-49

Defect Metrology Engineer information

What are the daily responsibilities of a defect metrology engineer?

A Defect Metrology Engineer typically spends their day operating and maintaining advanced inspection equipment, analyzing defect data, and collaborating closely with process and yield engineers to identify and resolve manufacturing issues. You may also be involved in designing experiments, implementing measurement methodologies, and preparing technical reports to communicate findings with engineering teams. Regular tasks include troubleshooting tool errors, validating defect classifications, and participating in cross-department meetings. This hands-on and analytical position requires a mix of independent analysis and teamwork to help optimize production quality and efficiency.

What skills and qualifications are needed to thrive as a defect metrology engineer?

To thrive as a Defect Metrology Engineer, you need a solid background in physics, materials science, or engineering, often with a bachelor's or master's degree and experience in semiconductor manufacturing or advanced inspection. Expertise in metrology tools such as SEMs (Scanning Electron Microscopes), automated defect inspection systems, and data analysis software like JMP or MATLAB is typically required. Attention to detail, problem-solving skills, and effective cross-functional communication are critical soft skills for this role. These abilities ensure precise identification and analysis of defects, driving yield improvements and supporting quality assurance in high-tech manufacturing environments.

What is a defect metrology engineer?

A Defect Metrology Engineer is responsible for detecting, analyzing, and monitoring defects in semiconductor manufacturing processes using advanced metrology equipment. They develop inspection strategies, improve defect detection sensitivity, and collaborate with process engineers to enhance yield and product quality. Their role involves working with various metrology tools, data analysis software, and statistical methods to ensure that defects are identified and addressed efficiently.

What are the most commonly searched types of Defect Metrology Engineer jobs in Arizona? The most popular types of Defect Metrology Engineer jobs in Arizona are:
What are popular job titles related to Defect Metrology Engineer jobs in Arizona? For Defect Metrology Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Defect Metrology Engineer jobs? Cities in Arizona with the most Defect Metrology Engineer job openings:
Infographic showing various Defect Metrology Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

$161K - $228K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Job Details:
Job Description:
The Advanced Packaging Technology and Manufacturing (APTM) organization is looking for data scientist to support Thermal Compression Bonding (TCB) process control, manufacturing data analytics, yield improvement, and predictive modeling. The successful candidate will work closely with process engineers, equipment engineers, metrology, quality, and manufacturing teams to develop data-driven solutions that improve process stability, reduce variation, and enhance yield.
Key Responsibilities
  • Analyze manufacturing, process, equipment, metrology, and yield data to identify trends, correlations, anomalies, and root causes of process variation.
  • Develop and validate data analytics and machine learning models to support: process monitoring, excursion detection, yield prediction, defect pattern analysis and tool health / process drift monitoring
  • Build proof-of-concepts to demonstrate the technical feasibility of predictive analytics and ML-based methods for TCB and related manufacturing applications.
  • Work with process and equipment teams to define analytics requirements and translate manufacturing problems into scalable data solutions.
  • Support advanced process control initiatives
  • Collaborate with manufacturing stakeholders to deploy practical solutions that can be used in production environments.
  • Develop dashboards, reports, and automated analysis tools to improve decision-making and reaction time.
  • Maintain a strong focus on data quality, model validity, and manufacturing relevance.

Behavioral traits that we are looking for:
• Strong communication and collaboration skills with the ability to work across process, equipment, metrology, quality, and manufacturing teams.
• Proactive and self-driven, with the ability to work independently and manage multiple priorities.
• Comfortable working in a dynamic manufacturing environment with changing priorities and imperfect data.
• Able to translate complex analytical results into clear actions for non-data experts.
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 with 6+ years of relevant experience, or a Master's degree with 4+ years of relevant experience, or a PhD with 2+ years of relevant experience in Computer Science, Data Science, Statistics, Electrical Engineering, Industrial Engineering, Mechanical Engineering, or another relevant science or engineering discipline.
• Experience in manufacturing data analysis, statistical analysis, and applying data-driven methods to solve process or yield problems.
• Strong proficiency in Python programming and JMP for data analysis, automation, and model development.
• Experience working with large datasets from manufacturing, equipment, metrology, or quality systems.
• Demonstrated ability to apply AI/ML, statistical methods, or predictive modeling to extract actionable insights and support business or engineering decisions.
• Knowledge of SQL or other database query tools for data extraction and analysis.
Preferred Qualifications
• Experience in semiconductor manufacturing, preferably assembly / advanced packaging.
• Understanding of advanced process control (APC), including run-to-run control, SPC, excursion detection, and process monitoring.
• Experience with yield analysis, process capability improvement, and root cause investigation in a manufacturing environment.
• Familiarity with machine learning models for anomaly detection, prediction, clustering, or classification.
• Experience developing dashboards, reports, or analysis tools.
• Experience working with computer vision or automated inspection data is a plus.
Join us at Intel to contribute to technological advancements while building a rewarding and impactful career. Apply now to be a part of our extraordinary journey.
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: $161,550.00-228,070.00 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.

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About Intel

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Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968