Inspection Software Engineer

Inspection Software Engineer

Location: Chongqing, CQ, CN, 400700

Company: Corning

Job ID: 79462

This is a company focused on breakthroughs. Join us.

Corning is a global leader in glass, ceramics, and materials science innovation. From the deepest oceans to the vastness of space, our technologies push the boundaries of possibility. Our employees drive progress every day, helping to connect the world, shape the future of mobility, make home entertainment more enjoyable, and ensure lifesaving medicines are delivered safely.

In Corning, your work offers endless opportunities to make a positive impact on the world and humanity. You can help the world stay connected, drive the future of automotive, enhance home entertainment, and improve the delivery of medicines. There is more to be changed.

Join us to push the boundaries together.

The Display Technologies business group at Corning focuses on active matrix LCD glass substrates for LCD TVs, laptops, and tablet displays.

Key Responsibilities

• Design, develop, and validate deep learning models (CNN-based or equivalent) for automated defect classification within the online inspection system.

• Implement Auto-Judgment (AJ) logic to generate automated dispositions on production sheets based on predefined quality criteria and inspection outputs.

• Lead system integration between machine learning components and production inspection hardware and software platforms.

• Partner with manufacturing, quality, and engineering teams to define defect categories, classification thresholds, and acceptance criteria.

• Monitor deployed model performance, analyze classification accuracy, and retrain or optimize models as production data evolves.

• Document technical specifications, model validation results, and system integration procedures.

• Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.

• 3+ years of software development experience with a focus on machine learning or computer vision applications.

• Proficiency in at least one backend programming language; Experience in PyTorch.

• Proficiency in git, docker and sql.

• Experienced in using common middleware.

• Hands-on experience developing and deploying image classification or defect detection models in an industrial or production environment.

• Experience integrating machine learning components with hardware or software inspection systems.

• Fluency in Mandarin Chinese (written and spoken).

• Functional English proficiency sufficient for cross-regional technical communication.

• Desired / Preferred Qualifications

• Hands-on experience with CNN-based defect classification in a manufacturing quality context.

• Proficiency in CSharp(C#, .net); Vue3 or any front end framework; Linux.

• Familiarity with automated optical inspection (AOI) systems or equivalent online inspection platforms.

• Experience with image processing libraries such as OpenCV.

• Experience optimizing models for edge or embedded deployment (e.g., ONNX, TensorRT).

• Knowledge of quality control standards and manufacturing disposition processes.

• Skills / Competencies

• Applies deep learning and computer vision techniques to solve real-world defect classification problems in a manufacturing environment.

• Integrates machine learning models with industrial inspection systems with minimal supervision.

• Translates quality criteria and manufacturing requirements into model training parameters and judgment logic.

• Communicates technical findings clearly to cross-functional stakeholders in both Mandarin and English.

• Corning is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities or religious beliefs to participate in the hiring process, work, or enjoy company benefits and rights. For reasonable accommodations related to disability or religion, please contact accommodations at corning.com.