• Design and enhance computer vision algorithms for identifying defects, recognizing features, and driving automation in semiconductor manufacturing processes.
• Develop and deploy deep learning-based models to enable fast, precise inspection tasks.
• Integrate vision technologies with robotic systems, automation platforms, and backend semiconductor tools such as wire bonders and die bonders.
• Create and refine image processing methods for tasks like pattern detection, object localization, and quality control.
• Collaborate with multidisciplinary teams to advance real-time vision inspection systems and support production yield improvements.
• Perform data analysis, validate model performance, and adjust parameters to comply with industry benchmarks.
• Optimize vision system efficiency by minimizing latency and maximizing accuracy and reliability.

Requirements of the role:

• A Bachelors or Masters degree in Compute...