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Staff Defect Metrology AIML Engineer


Job Location:

Goleta, CA - USA

Monthly Salary: Not provided by the employer
Posted: 7 November 2026 (17 hours ago)
Application Deadline: 4 February 2027
Vacancies: 1 Vacancy

Job Summary

We are seeking a highly motivated Staff Engineer Defect Metrology to join our MOCVD team. This role will provide technical leadership in semiconductor defect inspection data analytics and development of advanced defect detection and classification capabilities. The ideal candidate combines hands-on semiconductor metrology experience with strong skills in Python data analysis image processing and AI/ML to improve product quality process control and manufacturing yield.

Key Responsibilities:

  • Develop image-processing algorithms and AI/ML models to detect classify and quantify semiconductor defects such as particles pits and scratches.
  • Analyze large datasets from wafer inspection metrology and MOCVD processes to identify trends correlations anomalies and root causes.
  • Develop automated analysis and visualization workflows using Python SQL JMP Excel and related tools.
  • Correlate incoming substrate defects with epitaxial defects and develop data-driven methods for substrate quality screening.
  • Integrate defect process equipment and wafer-level data to improve understanding of defect mechanisms and yield drivers.
  • Partner with process equipment and development engineers to correlate defect excursions with process changes and equipment events.
  • Improve inspection methodologies algorithms calibrations statistical metrics and defect classification strategies.
  • Ensure the accuracy repeatability and integrity of defect metrology systems and associated data.
  • Apply DOE SPC statistical modeling and data visualization to support process improvement.
  • Communicate technical findings and actionable recommendations to engineering teams management vendors and customers.

Qualifications :

Required 

  • BS with 5 years MS with 3 years or PhD in Engineering Science Data Science Computer Science or a related field.
  • Experience in semiconductor defect inspection metrology yield engineering manufacturing analytics image analysis or a related area.
  • Strong data analysis and programming skills preferably with Python and SQL.
  • Experience applying AI/ML computer vision statistical learning or advanced analytics to engineering problems.
  • Experience working with large datasets including data extraction manipulation statistical analysis visualization and correlation.
  • Familiarity with tools/libraries such as pandas NumPy scikit-learn OpenCV PyTorch or TensorFlow is desirable.
  • Strong organizational skills attention to detail and demonstrated analytical and problem-solving capabilities.
  • Strong teamwork and collaboration skills with the ability to work effectively across process equipment manufacturing development and data/IT functions.

Preferred 

  • Experience with AI/ML-based wafer defect detection or classification.
  • Experience developing automated data pipelines dashboards or manufacturing analytics tools.
  • Experience with optical wafer inspection systems such as KLA Candela or Nanotronics.
  • Knowledge of semiconductor materials epitaxial growth and materials characterization.
  • Experience with DOE SPC process capability and statistical modeling.
  • Familiarity with cleanroom protocols and semiconductor wafer handling.

Applicants for this position must be currently authorized to work in the United States on a full-time basis. Renesas is unable to sponsor applicants for work visas for this position


Additional Information :

The expected annual pay range for this position is $120000 - $160000. This position is also eligible for bonus opportunities. Please note that final offer amount will be dependent on geographic location applicable experience and skillset of the candidate.

Renesas offers a full range of elective benefits including medical health savings account (with applicable medical plan) dental vision health and/or dependent care flexible spending accounts pre-tax commuter benefits life insurance AD&D and pet addition to elective benefit options benefited employees receive company-paid life insurance and AD&D LTD short term medical benefits as well as paid sick time paid holidays and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. With a global team of over 21000 engineers and problem solvers in more than 30 countries we offer the opportunity to work on worldleading technology for Automotive Industrial Infrastructure and IoT shaping a safer healthier greener and smarter future.

At Renesas TAGIE is our culture grounded in being Transparent Agile Global Innovative and Entrepreneurial. It shapes how we work grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us

Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.


Remote Work :

No


Employment Type :

Full-time


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