Computer Vision Developer

at  FPS Food Process Solutions Corp

POSITION SCOPE:

As a Computer Vision Developer, you will design and implement machine vision systems for applications like sorting and quality inspection. Your role includes developing high-performance solutions using C++ and Python, collaborating with the team, and overseeing system deployment and integration. Familiarity with machine learning techniques is preferred and will enhance your application.

REQUIREMENTS：

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related field.
• At least 1-2 years of hands-on experience with machine vision software, such as MVTec Halcon, Zebra Aurora, or comparable tools.
• Demonstrated proficiency in C++, with experience in developing high-performance, low-level system components.
• Proven expertise in Python software development, with a strong background in scripting, prototyping, and building high-level functionality.
• Experience and knowledge of machine learning techniques, with a preference for deep learning, particularly in machine vision applications, would be considered an asset.
• Excellent verbal and written communication skills for effective collaboration and documentation.
• Ability to travel to client sites for system commissioning and support.

• Design and Development: Work with the software architect to design and develop robust machine vision systems tailored to various applications including sorting, flaw detection, measurement, locating, counting, and quality inspection.
• Application Development: Create and implement machine vision systems specifically for food manufacturing processes, leveraging machine vision software to optimize production and quality control.
• System Commissioning: Oversee the deployment and commissioning of machine vision systems at client locations, ensuring smooth integration and functionality.
• Collaboration: Engage with cross-functional teams to develop innovative and effective products, contributing to both design and implementation phases.
• Code Quality: Write high-performance, secure, and maintainable code. Adhere to best practices in software development and contribute to continuous improvement efforts.