Posted:
1/19/2026, 11:16:17 PM
Location(s):
Phoenix, Arizona, United States ⋅ Oregon, United States ⋅ New Mexico, United States ⋅ Arizona, United States ⋅ Hillsboro, Oregon, United States ⋅ Albuquerque, New Mexico, United States
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
ATPM 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, configuration, and analysis enabling.
Work closely with partners from automation, metrology, yield/defmet 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.
Be able to lead a variety of enabling / debugging projects, role modeling effective problem solving and getting action through influence management.
Demonstrate a strong sense of ownership and quality to drive for a mutually effective solution with our partners and customers.
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 in Engineering, Computer Science, Data Science, Information Systems, Chemistry, Physics, Materials Science or any other related technical discipline with 3+ years of relevant experience
-OR- Master's degree in Engineering, Computer Science, Data Science, Information Systems, Chemistry, Physics, Materials Science or any other related technical discipline with 2+ years of relevant experience,
-OR- PhD degree in Engineering, Computer Science, Data Science, Information Systems, Chemistry, Physics, Materials Science or any other related technical discipline with years of 1+ relevant experience
Relevant experience must include the following:
Experience in python or comparable programming language
Preferred Qualifications:
Strong problem-solving and teamwork skills
Experience with Python and SQL
Experience with Intel's wafer defect metrology and analysis ecosystem
Previous related work experience in a semiconductor foundry preferred
Experience with Industry standard Defect and Yield Analysis applications like Klarity or Exensio
Yield improvement or defect metrology / defect reduction experience
Experience with ADC (Automated Defect Classification) and Machine Learning / AI.
Experience with modern distributed version control systems, particularly Git, GitLab, or GitHub
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.Website: https://www.intel.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Product Design ⋅ Semiconductor ⋅ Software