Shift Inspection Engineer - Semiconductor Visual QA

Applied Optoelectronics, Inc.; Sugar Land (TX); Sur place; USD 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Relocation package

Immigration sponsorships (US)

401(k) matching

Résumé du poste

Applied Optoelectronics, Inc. in Sugar Land, TX, seeks a Shift Inspection Engineer to lead visual inspection of laser wafer and chip production in a cleanroom and to enhance the semi-automated defect detection system.

You will train production staff, monitor yield, and optimize inspection tools. The role requires a bachelor's in engineering or CS and hands-on knowledge of imaging hardware, cameras, optics, and data analysis.

Qualifications

• Bachelor's degree in engineering or CS.
• DOE and data analysis capability.
• Experience with imaging hardware is a plus.

Responsabilités

• Learn current inspection system and implement improvements for defect inspection overkill and escape.
• Development of visual inspection recipes for new products.
• Perform sampling review of chip photos and collect data for AI model retraining to reduce misdetection rate.
• Review work orders rejected by Outgoing Quality Control department.
• Troubleshooting for inspection issues on work orders.
• Ensure production uptime, cycle time and quality metrics; urgency in 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 SOP format.
• Technical training for operators and technicians.
• Regularly communicate activity status and project updates with colleagues.
• Overtime may be needed for production line needs.

Connaissances

Cameras & optics

Image processing

DOE & data analysis

Troubleshooting

SQL / Access

Formation

Bachelors in engineering

Outils

SQL

Microsoft Access

Description du poste

Applied Optoelectronics, Inc. in Sugar Land, TX, seeks a Shift Inspection Engineer to lead visual inspection of laser wafer and chip production in a cleanroom and to enhance the semi-automated defect detection system.

You will train production staff, monitor yield, and optimize inspection tools. The role requires a bachelor's in engineering or CS and hands-on knowledge of imaging hardware, cameras, optics, and data analysis.