About The Position

We are seeking a skilled Defect Reduction Metrology Engineer with expertise in image-based defect detection and classification to support our GaN MOCVD EPI manufacturing and ongoing development activities. The ideal candidate will have a strong background in python, machine learning and Candela Surface Defect Inspection Systems. This position is based at the company headquarters in Goleta, CA and will be full-time/on-site for our production support.

Requirements

  • A demonstrated aptitude for data analysis, technology development.
  • A demonstrated ability to communicate well with others and work equally well independently and as part of a team.
  • Familiarity with Candela Surface Defect Inspection Systems, setup and configuration.
  • Experience with semiconductor material characterization tools such as AFM, XRD, Reflectometry, Candela, Hall, SIMS, TEM, etc.
  • Experience with scripting and data processing using Python, JMP, SQL or similar tools.
  • Experience with Image based Defect Analysis and ML / AI is strongly encouraged.
  • A strong team participant, have excellent communication skills, and be resourceful and multi-talented.
  • Well organized and great attention to detail; strong observational and analytical skills.
  • Degree in an engineering or physical science discipline, with hands-on experience in nitride epitaxy, MOCVD, or semiconductor materials and devices: BS with 5+ years of experience, MS with 3+ years of experience, or PhD.

Responsibilities

  • Develop image-based defect classification to accurately classify optical defects in semiconductors using python and machine learning.
  • Track and establish possible correlation between substrate defects and epitaxial defects; calculate wafer usable area and die yields.
  • Screen incoming substrates based on correlated epitaxy defects and calculate usable wafer area and die yields.
  • Support statistical process control (SPC), continuous improvement efforts and the management and dissemination of metrology data in support of our GaN EPI manufacturing and ongoing development activities.
  • Participate in a team effort to improve quality and performance of epi wafers; help generate new ideas and approaches.
  • Summarize and present experimental findings in written reports and regular team meetings.
  • Communicate and help to resolve technical and operational issues in a timely manner.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Computer and Electronic Product Manufacturing

Education Level

Bachelor's degree

Number of Employees

101-250 employees

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