Ocotillo Technology Fabrication Process Integration and Yield Engineer

Intel Corporation; Phoenix (AZ); On-site; USD 104,000 - 199,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation is seeking a Process Integration and Yield Engineer to drive data-driven improvements in advanced manufacturing. You will analyze data, identify root causes of yield issues, and implement corrective actions to enhance process quality and reliability.

The role is part of Intel's Foundry Technology Development Yield group, collaborating across manufacturing, operations, and engineering to ensure process stability and cost efficiency.

Qualifications

• Minimum Bachelor level degree with 4+ years experience in relevant field, or higher degrees with matching experience.
• Experience with statistical analysis tools, SPC and DOE principles, and data-driven problem solving.

Responsibilities

• Analyze data to identify defect and yield improvement opportunities.
• Lead or participate in cross-functional teams to implement process changes.
• Collaborate with integration, module, and yield engineers to improve quality and reliability.
• Develop tools and methodologies for high-volume data analysis to find root causes.
• Drive continuous improvement programs to prevent quality and yield excursions.
• Support new product introductions and design of experiments to optimize processes.

Skills

Statistical analysis

Excel

SQL

JMP

SPC

DOE

Data analysis

Semiconductor manufacturing

Education

Bachelor's degree in Electrical Engineering, Material Science, Physics, or related STEM field

Master's degree in Electrical Engineering, Material Science, Physics, or related STEM field

PhD in Electrical Engineering, Material Science, Physics, or related STEM field

Job description

As a Process Integration and Yield Engineer, you will play a critical role in driving continuous improvements across advanced manufacturing processes. You'll focus on analyzing data, identifying root causes of yield and defect issues, and implementing corrective actions to improve process quality and reliability. Your work will directly contribute to enhancing Intel's manufacturing efficiency and delivering high-performance products to meet customer needs.

Business Group: This role is part of Intel's Foundry Technology Development Yield organization, which is dedicated to optimizing semiconductor manufacturing and enabling cutting edge solutions for foundry customers. The team works collaboratively across manufacturing, operations, and engineering to ensure process stability, capability, and quality control, supporting Intel's broader goals of innovation and excellence.

Key Responsibilities

• Conduct data analysis using statistical and data mining tools to identify defect and yield improvement opportunities.
• Lead or participate in multi-functional teams to address yield challenges and implement process changes.
• Collaborate with integration, module, and yield engineers to enhance process quality, reliability, and cost efficiency.
• Develop tools, algorithms, and methodologies for high-volume data analysis to identify root causes and recommend corrective actions.
• Drive continuous improvement programs to prevent quality, line yield, and sort yield excursions.
• Execute new product introductions and design of experiments to optimize manufacturing processes.
• Provide expertise to troubleshoot complex yield problems and ensure manufacturability.

Minimum Qualifications

• Bachelor's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 4+ years of experience, OR Master's degree in Electrical Engineering, Material Science, Physics, or related STEM field with 2+ years of experience, OR PhD in Electrical Engineering, Material Science, Physics, or related STEM field with no prior experience required.
• Statistical analysis tools (e.g., Excel, SQL, JMP). Semiconductor processing and manufacturing environments. Statistical Process Control (SPC) and/or Design of Experiments (DOE) principles. Data structures, and data analysis methods.

Preferred Qualifications

• Advanced knowledge of semiconductor fabrication techniques (e.g., Lithography, Etch, CMP, Thin Films). Programming languages.
• Familiarity with machine learning tools for process analysis and yield enhancement.
• Experience in failure analysis techniques and big data applications.
• Strong communication, teamwork, and leadership skills to collaborate across teams and levels.
• Demonstrated ability to lead improvement programs and effectively manage priorities in a fast-paced environment.

Intel is seeking talented engineers ready to make an impact in semiconductor manufacturing. Explore this exciting opportunity to contribute to innovation and shape the future of technology.

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.

Annual Salary Range for jobs which could be performed in the US: $103,730.00-198,820.00 USD

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, Arizona, Phoenix

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.