Computer Vision Software Engineer

Fab2 • Austin, TX

1d

About The Position

The Computer Vision Software Engineer will build computer vision software for lithography and metrology on semiconductor manufacturing equipment. The work includes modeling optical systems, developing nanometer-scale alignment methods such as fiducials and calibration, and iterating on real hardware. The role also develops vision systems for wafer-handling and process-automation equipment, as well as post-lithography metrology capabilities including defect detection and optical proximity correction (OPC) modeling.

The engineer will collaborate with full-stack, mechanical, electrical, optical, and process engineers on cross-functional problems. fab2 is open to candidates ranging from early-career to experienced engineers; it emphasizes a strong mathematical and programming background and the ability to experiment and learn.

Requirements

• 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 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 Haves

• Experience with semiconductor equipment, metrology, manufacturing inspection, microscopy, scientific instrumentation, or industrial automation.
• Experience characterizing optical systems using metrics such as resolution, MTF, and PSF.
• Understanding of optical inaccuracies such as chromatic and 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.

Responsibilities

• Develop classical computer vision algorithms for inspection, measurement and 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 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 manufacturing and metrology tools.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Generous paid time off, including holidays and sick time
• Visa sponsorship
• Life insurance
• Disability insurance
• Paid parental leave
• 401(k) retirement plan
• Weekly learning and development opportunities
• Commuter benefits, including parking and late-night Uber rides from the office
• Daily lunches, dinners three times per week, and a stocked office kitchen with snacks and Spindrifts

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level