Senior Vision Software Development Engineer

Key Responsibilities

1. Software Architecture & Development: Design, build, and maintain production-grade software modules for image acquisition, real-time image processing pipelines, and feature extraction.
2. Algorithm Implementation: Code and optimize advanced computer vision algorithms for wafer-to-probe alignment, die sorting pattern recognition, and micro-defect identification.
3. Hardware & API Integration: Develop driver-level interfaces and software APIs to seamlessly connect high-speed industrial cameras, frame grabbers, and motion controllers with the main tester platform.
4. AI & Machine Learning Deployment: Optimize and deploy pre-trained deep learning models (e.g., CNNs) onto edge hardware using acceleration libraries for real-time defect classification.
5. Performance Tuning: Optimize code execution, multi-threading, and GPU/CPU memory allocation to ensure ultra-low latency processing capable of matching high-throughput fab speeds.
6. Testing & Quality Assurance: Write rigorous unit tests, integration tests, and hardware-in-the-loop (HIL) simulations to guarantee software robustness during continuous cleanroom production.
7. Version Control & CI/CD: Maintain version control, document software architecture, and integrate modules into the team's automated build and continuous deployment pipelines.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Minimum 5 years of experience in software, computer vision, or machine vision development.
• Strong programming skills in C++ and/or Python/C# with solid OOP knowledge.
• Experience with OpenCV, HALCON, MIL, or PCL.
• Knowledge of multi-threading, concurrency, and performance optimization; experience with CUDA, TensorRT, OpenVINO, or Intel IPP is an advantage.
• Familiar with Git, CMake, Linux and/or Windows development environments.
• Experience with industrial camera interfaces such as GigE Vision, USB3 Vision, Camera Link, or CoaXPress is preferred.
• Semiconductor equipment experience, such as wafer probers or other automated equipment, is an advantage.
• Experience with Qt or .NET for UI/image visualization is a plus.