Software Engineer (Vision)

The role involves working within a multidisciplinary team to carry out Research & Development in Image Processing / Computer Vision Algorithm for automated optical inspection systems. Responsibilities: Design and develop software for high-performance automated Computer Vision equipment used in advanced manufacturing. Build intuitive and responsive GUIs, manage big data, and implement multi-threaded applications that power real-time systems. Create and optimize image processing and computer vision algorithms—your code will help machines “see” and make decisions. Be actively involved in the entire software development life cycle—from brainstorming and prototyping to testing and deployment. Why this role rocks? You’ll work on real-world AI applications that make a difference in high-tech industries. Collaborate with a team that values innovation, creativity, and continuous learning. Get hands-on with cutting-edge tools and technologies in automation and vision systems. Requirements: PHD / Masters / Degree in engineering discipline with minimum 1-3 year experience. Experienced candidates in software development, particularly those with backgrounds in automation or the semiconductor industry, may be considered for a senior position. Fresh degree graduates and Diploma holders with relevant experience will be considered at Associate Engineer level. Strong programming skills in the Visual Studio Development Environment—you’re comfortable building and debugging in a professional setup. Proficient in C++—you write clean, efficient, and reliable code. Solid experience in computer vision, image processing, or vision inspection systems—you understand how machines interpret visual data. Familiarity with C# is a plus—especially if you’ve built GUIs or tools with it. Knowledge of Deep Learning (AI) for defect classification is a big advantage—your models could help machines spot flaws with precision. Excellent communication skills in English, both written and verbal—you can collaborate effectively and explain your ideas clearly.