Computer Vision Engineer (Semiconductor Manufacturing)

Location: Austin, United States; on-site position

Company

hirify.global is an early-stage hardware startup that designs and builds semiconductor manufacturing hardware, software, fabs, tools, and components.

What you will do

• Develop classical computer vision algorithms for inspection, measurement, metrology, alignment, positioning, defect detection, and camera calibration.
• Build image-based systems that extract dimensions, feature boundaries, manufacturing variation, and other process information.
• Develop image registration, camera calibration, geometric transformation, pose estimation, and spatial- and frequency-domain image processing capabilities.
• Integrate vision systems with cameras, motion systems, robotics, and other electromechanical equipment.
• Turn experimental approaches into maintainable production software through testing, validation, performance optimization, and failure handling.
• Collaborate with software, mechanical, electrical, optical, and process engineers on manufacturing and metrology tools.

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 image registration, feature detection, camera calibration, geometric transformations, pose estimation, image filtering, or similar techniques.
• 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 with 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 resolution, MTF, PSF, or similar metrics.
• 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.

Culture & Benefits

• Early-stage hardware startup with solid funding and world-class advisors.
• Labs and offices in Austin, Lockhart, and San Francisco.
• Medical, dental, and vision insurance, life and disability insurance, paid parental leave, and a 401(k) retirement plan.
• Paid time off including holidays and sick time, weekly learning and development opportunities, and commuter benefits.
• Daily lunches, dinners three times per week, and a stocked office kitchen.
• Visa sponsorship is available, subject to applicable eligibility requirements.