WLA Yield Analysis Systems Eng

Job Details:

Job Description:

APTM Yield seeks a yield systems engineer to adapt, develop, deploy and sustain yield analysis software solutions in support of our aggressive advanced packaging roadmap. Responsibilities include, but are not limited to: Drive aspects of Advanced Packaging's inline defect data pipeline workflows, logic, New product introduction, configuration, and analysis enabling. Work closely with partners from automation, metrology, yield/defect metrology and manufacturing on requirements, enabling, testing and debugging of integrated defect and yield analysis capabilities. Contribute to system integration projects for enhancing advanced packaging capabilities in Klarity / Exensio / custom solutions and integrating Automated Defect Classification. Be creative, customer focused and adaptable to evolving needs as we enable rapid yield learning from technology development to high volume manufacturing.

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. Requirements listed can be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum Qualifications:

Possess a Bachelor's Degree with 3+ years of relevant experience

• OR•Master's degree with 2+ years of relevant experience•OR•PhD degree in Materials Science and Engineering or Mechanical Engineering or Computer Science or Data Science or Information Systems or Chemical Engineering or Electrical Engineering or Chemistry or Physics or any other related discipline.

A course or 6+ months of experience in Python or comparable programming language Proven data analysis capabilities

Preferred Qualifications:

Strong problem-solving and teamwork skills Experience with Python and SQL Experience with Intel's wafer defect metrology and analysis ecosystem Experience with Industry standard Defect and Yield Analysis applications like Klarity or Exensio Yield improvement or defect metrology / defect reduction experience Demonstrated ability to deal with engineering/manufacturing domains Experience dealing with a data pipeline Experience with ADC (Automated Defect Classification) and Machine Learning / AI. Experience with modern distributed version control systems, particularly

Git, GitLab, or GitHub Job Type:

Experienced Hire Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro Additional Locations:

US, Arizona, Phoenix, US, New Mexico, Albuquerque 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:

$98,390.00-193,270.00 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. WLA Yield Analysis Systems Eng 4.1 4.1 out of 5 stars Hillsboro, OR Hybrid work $98,390

• $193,270 a year
• Full-time Intel 6,794 reviews $98,390
• $193,270 a year

•

Full-time Job Details:

Job Description:

APTM Yield seeks a yield systems engineer to adapt, develop, deploy and sustain yield analysis software solutions in support of our aggressive advanced packaging roadmap. Responsibilities include, but are not limited to: Drive aspects of Advanced Packaging's inline defect data pipeline workflows, logic, New product introduction, configuration, and analysis enabling. Work closely with partners from automation, metrology, yield/defect metrology and manufacturing on requirements, enabling, testing and debugging of integrated defect and yield analysis capabilities. Contribute to system integration projects for enhancing advanced packaging capabilities in Klarity / Exensio / custom solutions and integrating Automated Defect Classification. Be creative, customer focused and adaptable to evolving needs as we enable rapid yield learning from technology development to high volume manufacturing.

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. Requirements listed can be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum Qualifications:

Possess a Bachelor's Degree with 3+ years of relevant experience

• OR•Master's degree with 2+ years of relevant experience•OR•PhD degree in Materials Science and Engineering or Mechanical Engineering or Computer Science or Data Science or Information Systems or Chemical Engineering or Electrical Engineering or Chemistry or Physics or any other related discipline.

A course or 6+ months of experience in Python or comparable programming language Proven data analysis capabilities

Preferred Qualifications:

Strong problem-solving and teamwork skills Experience with Python and SQL Experience with Intel's wafer defect metrology and analysis ecosystem Experience with Industry standard Defect and Yield Analysis applications like Klarity or Exensio Yield improvement or defect metrology / defect reduction experience Demonstrated ability to deal with engineering/manufacturing domains Experience dealing with a data pipeline Experience with ADC (Automated Defect Classification) and Machine Learning / AI. Experience with modern distributed version control systems, particularly

Git, GitLab, or GitHub Job Type:

Experienced Hire Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro Additional Locations:

US, Arizona, Phoenix, US, New Mexico, Albuquerque 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:

$98,390.00-193,270.00 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.