Senior Vision System Engineer

Key Responsibilities:

• Design, develop and maintain computer vision algorithms and software for image analysis, object detection, and tracking.
• Work with a team of engineers to design and implement vision systems for real-world applications.
• Optimize vision algorithms for performance and accuracy on embedded platforms.
• Research and stay up-to-date with the latest developments in computer vision and machine learning.
• Design and implement calibration and alignment procedures for vision hardware components to ensure accurate and consistent measurements.
• Collaborate with other teams to integrate vision systems into larger projects.
• Develop and deliver technical presentations to clients.
• Document and maintain project records, including design documents and test results.

Qualifications:

• Bachelor's or Master's degree in Mechatronics, Computer Science, Electrical Engineering, Robotics, or a related field.
• 3+ years of experience in a computer vision or image processing role.
• Experience in vision component selection involving camera, lens & lighting.
• Experience with Halcon and other computer vision libraries.
• Programming skills in C++ and Python is a plus.
• Experience with machine learning frameworks such as Detectron2, TensorFlow and PyTorch is a plus.
• Experience with embedded systems and real-time processing is a plus.
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication skills.
• Ability to work in a fast-paced, multidisciplinary team environment.