Computer Vision Software Engineer - Austin, United States
Originally posted 27 October 2026 by the employer.
About the role
You will build computer vision software for lithography and metrology on semiconductor manufacturing equipment. Scope includes modeling optical systems, developing nanometer-scale alignment through iteration on real hardware, wafer-handling vision, and post-lithography metrology including defect detection and optical proximity correction (OPC) modeling.
What you'll do
- 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.
What you'll need
- 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. - Experience analyzing images in both the spatial and frequency domains. - Understanding of how optics, illumination, sensors, noise, and resolution affect image quality and computer vision performance. - Experience developing computer vision software using Python, C++, OpenCV, or similar tools.
Nice to have
- Experience with semiconductor equipment, metrology, manufacturing inspection, microscopy, scientific instrumentation, or industrial automation. - Experience characterizing optical systems using metrics such as resolution, MTF, PSF, etc. - An understanding of optical inaccuracies: chromatic/spherical aberrations, astigmatism, etc. - 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.
Skills: computer vision, defect detection, metrology, C++, Python, lithography