Summary
We are looking for a Machine Vision Engineer who will be in charge of our compound semiconductor Laser Wafer and Chip vision inspection to expand the capabilities of our semi-automated defect detection system in a cleanroom environment. Main tasks include developing visual inspection recipe and training for variety of product families, product inspection yield monitoring and improvement, inspection algorithm improvement, and regular inspection, maintenance, and optimization of tools/equipment.
Job Duties
- Learn current inspection system and implement improvement for defect inspection overkill and escape
- Development of visual inspection recipes for new products through massive AI training
- Continuously collect escaped and overkilled photos for AI re-training for existing recipe to reduce mis-detection rate
- Apply image processing such as image enhancement, thresholding, morphology, feature extraction, classification etc. to improve defect detection accuracy
- Review OQC rejected work orders
- Troubleshooting for work orders with inspection issues
- Ensure production line meet uptime, cycle time and quality metrics, have the sense of urgency on resolution of production issues
- 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
Qualifications - Required: Bachelor's degree in computer science with focus on computer vision, image processing or deep learning
- Prefer: Master's degree or above in computer science, and experience in a manufacturing environment
- Software/ Hardware Knowledge:
- Microsoft Access or SQL preferred
- Cognex Vidi highly preferred and a plus
- Programming in Python highly preferred
- Programming in Visual C# highly preferred
- Skills/ Abilities:
- Knowledge of cameras, lenses, optics, lighting, and others for image capture and processing
- DOE and data analysis capability
- Trouble-shoot capability
- There may be up to 10% international traveling
Location
This position will be on-site based in Sugar Land, Texas.
WHY AOI?
In addition to competitive salary, AOI offers
- Flexible and competitive health (medical, dental, vision) plans offer the employee with the right options to meet individual and family needs
- Employer matching on 401(k) deferrals
- Generous PTO policy, with unused PTO payout at end of the year
- Relocation package available within US
- Immigration sponsorships (Must be currently authorized to work in the US)
We do not accept unsolicited proposals from third-party recruiters or agencies. Contacting hiring managers directly may result in disqualification of submissions.
