Computer Vision Engineer | $90/hr Remote

Crossing Hurdles; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Crossing Hurdles is seeking a skilled computer vision engineer to design and develop robust machine vision algorithms for image analysis and automated inspection. You will leverage OpenCV and related libraries to build scalable solutions, optimize pipelines for accuracy and efficiency, and collaborate with cross-functional teams to meet project milestones.

The role requires hands-on experience with Python and/or C++ for vision applications, a solid understanding of imaging sensors, and a degree

Qualifications

• Proven expertise in computer vision, image processing, and machine vision systems.
• Hands-on experience with OpenCV and similar libraries.
• Strong programming in Python and/or C++ for vision applications.
• Understanding of camera hardware, imaging sensors, and lighting principles.

Responsibilities

• Design and develop robust machine vision algorithms for image analysis and automated inspection.
• Optimize image processing pipelines for accuracy, efficiency, and reliability across diverse data sources.
• Collaborate with cross-functional teams to define system requirements and deliver project milestones.
• Analyze, preprocess, and annotate large datasets to train, validate, and test vision models.
• Troubleshoot and resolve complex computer vision challenges, ensuring consistent high-quality results.

Skills

Computer vision

OpenCV

Python

C++

Image processing

Imaging sensors

Education

Bachelor's or Master's in CS/EE

Tools

OpenCV

NumPy

Job description

• Design and develop robust machine vision algorithms for image analysis and automated inspection tasks.
• Utilize OpenCV and other computer vision libraries to build scalable solutions that integrate seamlessly with existing systems.
• Optimize image processing pipelines for accuracy, efficiency, and reliability across diverse data sources.
• Collaborate with cross-functional teams to define system requirements and deliver project milestones.
• Analyze, preprocess, and annotate large datasets to train, validate, and test vision models.
• Troubleshoot and resolve complex computer vision challenges, ensuring consistent high-quality results.

Requirements

• Have proven expertise in computer vision, image processing, and machine vision systems.
• Have extensive hands-on experience with OpenCV and similar libraries.
• Possess strong programming proficiency in Python and/or C++ for vision applications.
• Have a solid understanding of camera hardware, imaging sensors, and lighting principles.
• Have a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.