Computer Vision Software Engineer

Sourced from career.eoss.asu.edu

fab2, an early-stage semiconductor hardware startup founded by Sam Zeloof and Jim Keller, is hiring a Computer Vision Software Engineer to build vision software for lithography and metrology on in-house chip manufacturing equipment. You will develop classical computer vision algorithms for nanometer-scale alignment, defect detection, and optical proximity correction, integrating vision systems with cameras, motion systems, and robotics. The role spans early-career to experienced levels and emphasizes strong math and programming fundamentals with hands-on hardware iteration.

• Develop classical computer vision algorithms for inspection, 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 for precision equipment and optical systems
• Apply spatial-domain and frequency-domain image processing to scientific and industrial vision problems
• Integrate computer vision systems with cameras, motion systems, robotics, and electromechanical equipment
• Turn experimental approaches into reliable production software with testing, validation, performance optimization, and failure handling
• Partner with software, mechanical, electrical, optical, and process engineers on new manufacturing and metrology tools

• Bachelor's or master's degree in Computer Science, Robotics, Electrical Engineering, Optical Engineering, Applied Physics, or related field, or equivalent practical experience
• Strong foundation in classical computer vision and image processing
• Experience with image registration, feature detection, camera calibration, geometric transformations, pose estimation, or image filtering
• Experience analyzing images in both spatial and frequency domains
• Understanding of how optics, illumination, sensors, noise, and resolution affect image quality and CV performance
• Experience developing computer vision software using Python, C++, OpenCV, or similar tools
• Ability to design experiments, compare technical approaches, and characterize algorithm accuracy and repeatability
• Ability to deploy computer vision work beyond prototype into maintainable, reliable software

• Experience with semiconductor equipment, metrology, manufacturing inspection, microscopy, scientific instrumentation, or industrial automation
• Experience characterizing optical systems using metrics such as resolution, MTF, PSF
• Understanding of optical inaccuracies such as chromatic/spherical aberrations and astigmatism
• Experience with precision alignment, motion systems, robotics, or sensor fusion
• Experience working with scientific or industrial cameras
• Research experience, publications, or a strong computer vision project portfolio