Design, develop, and maintain software for real-time image acquisition, processing, and machine vision applications.
Develop and optimize computer vision algorithms for wafer alignment, defect detection, pattern recognition, and inspection.
Integrate industrial cameras, motion controllers, frame grabbers, and other vision hardware with software applications.
Deploy and optimize AI and deep learning models for automated defect classification and inspection.
Improve software performance through multi-threading, GPU acceleration, and code optimization for high-throughput manufacturing.
Develop unit, integration, and hardware-in-the-loop (HIL) tests to ensure software reliability and quality.
Collaborate with cross-functional engineering teams and support CI/CD implementation, software documentation, and version control.
Requirements
Bachelor's or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline.
At least 5 years of experience in machine vision, computer vision, or software development, preferably in the semiconductor, automation, or industrial equipment industry.
Strong programming skills in C++, Python, or C#, with solid object-oriented programming (OOP) knowledge.
Hands-on experience with computer vision libraries such as OpenCV, Halcon, MIL, or PCL.
Experience with multi-threading, GPU acceleration, or high-performance computing technologies such as CUDA, TensorRT, OpenVINO, or Intel IPP.
Proficient with Git, CMake, and Linux or Windows development environments.
Experience with industrial camera interfaces (GigE Vision, USB3 Vision, Camera Link, or CoaXPress), semiconductor equipment, or UI frameworks such as Qt or .NET is an advantage.
