Description

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.

Job Responsibilities:

This position will work with senior technical staff to improve current metrology and develop new processes for MOCVD wafer characterization and analysis. Their responsiblities will include:
• 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.

Qualifications:
• A demonstrated aptitude for data analysis, technology development.
• A demonstratde 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 a 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.

Because this engineer supports our government contracts they must be a U.S. Person, Permanent Resident or a Non-U.S. Person who is eligible to obtain the required Export Authorization.

We are a equal opportunity employer with and Affirmative Action Plan

Average Compensation: $121,128

How Much Do Transphorm Inc Employees Make?

High-paying Jobs at Transphorm Inc