We are open to a range of experience levels, from early-career to experienced engineers. The most important attribute is a strong mathematical and programming background and the ability to experiment and learn new things.

Develop classical computer vision algorithms for inspection, measurement/metrology, alignment, positioning, defect detection, and camera calibration.

Build systems that extract reliable measurements and process information from images, including dimensions, feature boundaries, and manufacturing variation.

Develop image registration, camera calibration, and pose estimation capabilities for precision equipment and optical systems.

Apply spatial-domain and frequency-domain image processing techniques to solve scientific and industrial vision problems.

Integrate computer vision systems with cameras, motion systems, robotics, and other electromechanical equipment.

Turn experimental approaches into reliable production software, including testing, validation, performance optimization, and failure handling.

Partner with software, mechanical, electrical, optical, and process engineers to develop new manufacturing and metrology tools.

Required Experience

Bachelor’s or master’s degree in Computer Science, Robotics, Electrical Engineering, Optical Engineering, Applied Physics, or a related field, or equivalent practical experience.

Strong foundation in classical computer vision and image processing.

Experience with techniques such as image registration, feature detection, camera calibration, geometric transformations, pose estimation, or image filtering.

Computer Vision Software Engineer

Responsibilities

Qualification

Required

Benefits

Company

fab2

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