Asks for

The ad says“Experience in image processing and classification.”
The ad says“Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.”
The ad says“Proficiency in data mining and statistical analysis”
The ad says“Computational Data Skills – comfortable with handling large data, data cleaning and data visualization and data analysis”
The ad says“Background in defect inspection, defect review, or metrology techniques used in semiconductor manufacturing”
The ad says“Statistical Process Control and Design of Experiments (DOE) principles, Data analysis using JMP/JSL, Python.”
The ad says“Electrical characterization of transistors or other semiconductor devices”
The ad says“Expertise in failure analysis, yield analysis, and process improvement methodologies.”
The ad says“Experience in image processing and classification.”
The ad says“Statistical Process Control and Design of Experiments (DOE) principles, Data analysis using JMP/JSL, Python.”
The ad says“Background in defect inspection, defect review, or metrology techniques used in semiconductor manufacturing”
The ad says“In-depth knowledge of manufacturing process change, process characterization, and process integration.”
The ad says“Expertise in failure analysis, yield analysis, and process improvement methodologies.”
The ad says“In-depth knowledge of manufacturing process change, process characterization, and process integration.”
The ad says“Statistical Process Control and Design of Experiments (DOE) principles, Data analysis using JMP/JSL, Python.”
The ad says“Conduct quality and reliability risk assessments for discrepant manufacturing materials and process changes.”
The ad says“Programing Experience in JMP/JSL, Python, R and SQL”
The ad says“Semiconductor processing/fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.)”
The ad says“Programing Experience in JMP/JSL, Python, R and SQL”
The ad says“Proficiency in data mining and statistical analysis”
The ad says“Extract insights from both structured and unstructured data using statistical methods”
The ad says“Statistical Process Control and Design of Experiments (DOE) principles, Data analysis using JMP/JSL, Python.”
The ad says“Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.”
The ad says“Expertise in failure analysis, yield analysis, and process improvement methodologies.”
The ad says“Drive low yield analysis and yield improvement activities, collaborating with internal and external stakeholders. Define roadmaps to meet requirements, goals, and milestones for incoming technology transfers.”

Job Details:

Job Description:

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet.

Life at Intel: https://jobs.intel.com/en/life-at-intel

As a Process Integration and Yield Engineer in Defect Metrology, you will play a pivotal role in shaping Intel's innovation and manufacturing excellence. This dynamic position focuses on driving technology transfers, optimizing manufacturing processes, and improving yield in a startup and high-volume production environment. Your contributions will directly support Intel's commitment to delivering industry-leading products. Working alongside internal and external stakeholders, you will have the opportunity to apply advanced data analysis techniques and influence technical directions across Intel and the industry.

Responsibilities include but are not limited to:

Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.
Drive low yield analysis and yield improvement activities, collaborating with internal and external stakeholders. Define roadmaps to meet requirements, goals, and milestones for incoming technology transfers.
Design and implement continuous improvement initiatives to prevent quality, line yield, and sort yield excursions.
Develop and establish flow, procedures, and equipment configurations for process modules.
Designing, executing, and analyzing experiments necessary to meet engineering specifications for their process.
Extract insights from both structured and unstructured data using statistical methods
Conduct quality and reliability risk assessments for discrepant manufacturing materials and process changes.
Lead quality and integrated defect and parametric measurement in startup and high-volume manufacturing environments.
Serve as a domain expert, influencing technical direction across Intel and the industry while mentoring others and fostering technical community growth.
Formulate and align organizational goals with technical vision, driving the execution of strategies to bring innovative products and technologies to market.

The ideal candidate should exhibit the following traits:

Demonstrated ability to lead technical projects and mentor team members effectively.
Strong problem-solving skills and the ability to tackle complex technical challenges.
Passion for advancing manufacturing processes to achieve world-class yield and quality standards.
Solid analytical skills and a passion for data analysis and problem solving.
Organizational skills with attention to detail. Excellent interpersonal skills with the ability to work with people at all levels.
Communication and presentation skills influence a wide variety of groups at all levels.

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 schoolwork, classes, research and/or relevant previous job and/or internship experiences.

Minimum qualifications:

Ph.D. degree with 4+ years of semiconductor industry experience OR Masters with 6+ years of semiconductor industry, process and yield engineering experience in Materials Science, Chemical Engineering, Mechanical Engineering, Electrical Engineering, Chemistry, Physics, or semiconductor-related Scientific STEM (Science Technology Engineering Math) field of study.
Experience in Semiconductor Industry in one or more of the following areas:
- Semiconductor processing/fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.)
- Statistical Process Control and Design of Experiments (DOE) principles, Data analysis using JMP/JSL, Python.

Preferred qualifications:

Proven track record of delivering innovative solutions and driving continuous improvement initiatives.
Skilled in cross-functional collaboration and stakeholder management to drive impactful results. Demonstrated experience leading project & cross functional teams
Proficiency in data mining and statistical analysis
In-depth knowledge of manufacturing process change, process characterization, and process integration.
Expertise in failure analysis, yield analysis, and process improvement methodologies.
Electrical characterization of transistors or other semiconductor devices
Background in defect inspection, defect review, or metrology techniques used in semiconductor manufacturing
Experience in advanced technology node in Process/Yield Engineering preferred
Programing Experience in JMP/JSL, Python, R and SQL
Computational Data Skills – comfortable with handling large data, data cleaning and data visualization and data analysis
Experience in image processing and classification.

Take advantage of this opportunity to join Intel and shape the future of engineering. Apply today to be part of a team that drives industry-leading innovation and transformation.

Interview Tips: https://www.intel.com/content/www/us/en/jobs/hiring.html

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

Business group:

Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

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: $120,860.00-231,670.00 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 be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * 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.