Shift Inspection Engineer: AI-Driven Visual QA in Cleanroom
AOI
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Benefits offered by this job
Job summary
AOI in Sugar Land, Texas, is seeking a Shift Inspection Engineer to lead visual inspection of Laser Wafer and Chip production in a cleanroom, with responsibilities including inspecting, training operators, and improving the defect detection system.
You will develop inspection recipes, monitor yield, analyze inspection data, and maintain tools, with on-site work and potential overtime.
Qualifications
- Bachelor's degree in engineering or computer science required.
- Experience with data analysis and DOE is beneficial.
- Ability to troubleshoot inspection issues and improve processes.
Responsibilities
- Learn current inspection system and implement improvement for defect inspection overkill and escape
- Development of visual inspection recipes for new products
- Perform sampling review of chip photos from daily production and continuously collect escaped and overkilled photos for AI model building and retraining to reduce misdetection rate
- Review work orders rejected by Outgoing Quality Control department
- Troubleshooting for work orders with inspection issues
- Ensure production line meet uptime, cycle time and quality metrics
- Inspection yield report analysis on a weekly basis
- Current inspection of hardware tool routine maintenance and new tool qualification
- Document process changes/updates in format of Standard Operating Procedure
- Technical training for operators and technicians
- Regularly and effectively communicate status of activities/project updates with colleagues
- Overtime may be needed for production line needs
Skills
Education
Tools
Job description
AOI in Sugar Land, Texas, is seeking a Shift Inspection Engineer to lead visual inspection of Laser Wafer and Chip production in a cleanroom, with responsibilities including inspecting, training operators, and improving the defect detection system.
You will develop inspection recipes, monitor yield, analyze inspection data, and maintain tools, with on-site work and potential overtime.
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