Zealogics.com·Taiwan, Province of China·14 авг.
We are multinational team to collaborate with Fortune 500 client ! As a C++ Engineer, you will develop and implement computer vision algorithms help SEM inspection and metrology tasks for various patterns/layers, improve system throughput and computation efficiency. Experiences: • 5+ year software development. • Master degree and above. • Experience of image processing or pattern recognition algorithm development. Role and responsibilities: - Participate in algorithm development for inspection and metrology - Collaborate with architects, designers, and engineers to develop robust computer vision modules - Work with Product Management to prioritize feature development and breakdown tasks - Drive infrastructure and architectural optimization solutions - Perform code reviews and ensure proper design and delivery - Assessment and improve algorithm performance - Software development based on product/project requirements. - Inspection flow and inspection module performance evaluation and optimization. - Software troubleshooting and bug fixing. - Cross-nation and cross-team communication to understand the tasks and ensure projects are on time and teamwork smoothly. Education and experience: - MS. in exact sciences (Computer Sciences, Computer Engineering, Electrical/Electro-Optical Engineering, Applied Mathematics or Physics) - 3+ years of hand-on development as a computer vision engineer, Machine learning engineer or related role - Solid skills in C++ programming - Good communication and organizational skills - Experience transferring technology from research in computer vision, image processing or machine learning into a shipping product - Ability to work on complex projects and translate requirements from internal and external customer’s into algorithm specs - Familiar with Git/Bitbucket/JIRA. Nice to have: - image noise reduction - (Defect) detection and classification - Unsupervised/ Supervised learnings - Context-aware detection - Adaptive Threshold - Image filtering for CR/NR improvement - Image alignment