Job Description
• Engineer and deploy deep learning models, specifically utilizing Convolutional Neural Networks (CNNs) and Segment Anything Models (SAM), to automate the classification and grading of display image quality and defects.
• Design and implement automated pipelines for large-scale dataset from existing testers, preparation, and analysis to validate image scoring algorithms against real-world hardware performance.
• Develop signal processing and computer vision algorithms to perform object detection and segmentation on display outputs, converting subjective visual criteria into objective engineering metrics.
• Design and simulate optical systems involving geometric optics, wave optics, and Fourier optics, ensuring alignment between theoretical models and hardware implementation

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affir...