> Markdown version of [/jobs/ext/4146425-computer-vision-software-engineer](https://www.wearedevelopers.com/jobs/ext/4146425-computer-vision-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Software Engineer - **Company:** Fab 2 Inc - **Location:** Austin, TX, United States - **Contract:** Permanent contract - **Skills:** Computer Vision, C++ (Programming Language), Computer Programming, Image Quality, Image Registration, Python (Programming Language), OpenCV, Performance Tuning, Sensor Fusion, Visual Systems, Information Technology, Build Tools, Pose Estimation - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fe48e30588eb3c97 ## About the Role * 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. * Ability to design experiments, compare technical approaches, and characterize algorithm accuracy and repeatability. * Ability to take computer vision work beyond a prototype and deploy it as maintainable, reliable software. 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. ## Description You will build computer vision software for lithography and metrology on semiconductor manufacturing equipment. This includes modeling optical systems and developing nanometer-scale alignment (fiducials, calibration methods) through iteration on real hardware. You will also develop vision systems for wafer-handling and process automation equipment. Additionally, you will work on post-lithography metrology, including defect detection and optical proximity correction (OPC) modeling. You will work closely with full-stack, mechanical, electrical, optical, and process engineers on cross-functional problems. 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. Responsibilities * 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.