Computer Vision Software Engineer

Fab2 • Austin, TX

1d

About The Position

The Computer Vision Software Engineer will develop 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 engineer will also develop vision systems for wafer-handling and process-automation equipment and work on post-lithography metrology, including defect detection and optical proximity correction (OPC) modeling.

The role involves close collaboration with full-stack, mechanical, electrical, optical, and process engineers on cross-functional problems. fab2 is open to candidates from early-career through experienced levels; a strong mathematical and programming background and the ability to experiment and learn are emphasized.

The tool software group builds Linux control software and microcontroller firmware for fab2’s in-house semiconductor manufacturing equipment, including sensing, real-time firmware, closed-loop controls, sequencing, recipe execution, interlocks, operator interfaces, and diagnostics.

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 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 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 through testing, validation, performance optimization, and failure handling.
• Partner with software, mechanical, electrical, optical, and process engineers to develop manufacturing and metrology tools.

Benefits

• Medical, dental, and vision insurance, subject to applicable eligibility requirements.
• Generous paid time off inclusive of holidays and sick time.
• Visa sponsorship.
• Life and 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