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Computer Vision Image Processing Jobs (NOW HIRING)

Cohu

Sr. Vision Software Engineer

San Diego, CA · On-site

$123 - $140K/hr

Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification. * Engineer ...

Cohu

Sr. Vision Software Engineer

San Diego, CA

$125K - $165K/yr

Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification. * Engineer ...

Google

Image Processing Engineer

Mountain View, CA · On-site

They are seeking an Image Processing Engineer to optimize image quality across hardware and ... computer vision, or related technical environment. • Experience with Python and C++ for algorithm ...

Apple

Camera Architect

Sunnyvale, CA · On-site

... computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline Preferred Qualifications MS, or PhD in Physics, Engineering, Computer Science, Imaging Science ...

Apple

Camera Architect

Sunnyvale, CA · On-site

... computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline Preferred Qualifications MS, or PhD in Physics, Engineering, Computer Science, Imaging Science ...

Apple

Camera Architect

Sunnyvale, CA · On-site

... computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline Preferred Qualifications MS, or PhD in Physics, Engineering, Computer Science, Imaging Science ...

Apple

Camera Architect

Sunnyvale, CA · On-site

... computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline Preferred Qualifications MS, or PhD in Physics, Engineering, Computer Science, Imaging Science ...

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Computer Vision Image Processing information

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How much do computer vision image processing jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for computer vision image processing in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.32 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals in Computer Vision Image Processing roles, and how can they be addressed?

Professionals in Computer Vision Image Processing often encounter challenges such as dealing with noisy or incomplete data, ensuring real-time performance, and adapting models to work across diverse environments and lighting conditions. Addressing these challenges typically involves using data augmentation techniques, optimizing algorithms for efficiency, and leveraging transfer learning to improve model robustness. Collaboration with cross-functional teams, such as hardware engineers and software developers, is also vital to ensure solutions are both accurate and deployable in real-world applications.

What is the difference between Computer Vision Image Processing vs Image Analysis Specialist?

AspectComputer Vision Image ProcessingImage Analysis Specialist
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; knowledge of programming and algorithmsBachelor's or higher in Data Science, Computer Science, or related fields; expertise in image data interpretation
Work EnvironmentResearch labs, tech companies, manufacturing, healthcareResearch institutions, tech firms, healthcare, security
Industry UsageDeveloping algorithms for object detection, recognition, and image enhancementInterpreting image data for insights, diagnostics, or decision-making

Computer Vision Image Processing focuses on developing algorithms to manipulate and analyze images, while Image Analysis Specialists interpret image data to extract meaningful insights. Both roles require similar educational backgrounds and often work in overlapping industries, but their core objectives differ: processing versus analysis.

What is computer vision image processing?

Computer vision image processing is a field of computer science that focuses on enabling computers to interpret and analyze visual information from the world, such as images and videos. It involves applying algorithms and techniques to process, enhance, and extract meaningful information from digital images. Common applications include object detection, facial recognition, image classification, and medical image analysis. The goal is to automate tasks that the human visual system can perform, making it possible for machines to 'see' and understand visual data.

What are the key skills and qualifications needed to thrive as a Computer Vision Image Processing Specialist, and why are they important?

To thrive as a Computer Vision Image Processing Specialist, you need strong foundations in mathematics, programming (especially Python or C++), and a relevant degree in computer science, engineering, or a related field. Familiarity with technical tools like OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and frameworks are crucial, as are certifications in machine learning or deep learning. Analytical thinking, creativity, and effective problem-solving help individuals excel in developing and optimizing complex visual algorithms. These skills are essential for accurately interpreting visual data, driving innovation, and delivering robust solutions across various industries.
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Computer Vision Image Processing jobs near you

Computer Vision R&D Engineer

Cesna Recruitment

San Diego, CA • On-site

$110/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

[About Our Client]

The company, founded in 2002 in Seoul, South Korea, is the world leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. Using patented 3D technology, the company provides best-in-class products in Solder Paste Inspection(SPI) and Automated Optical Inspection(AOI) for electronics manufacturers worldwide.

[Job Summary]

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning.

As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration)

[Job Description]

- Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.

- Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.

- Engineer solutions for quality inspection equipment, medical equipment, and more.

- Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.

- Participate in weekly “Group Genius” activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere.

- Performs other duties as assigned

Requirements

[Qualifications]

- Master’s degree required

- Ph.D preferred

- Experience to Research and Develop to Classical Computer Vision Algorithm

- Experience to Research and Develop Machine Learning

- Experience to Deploy CUDA processing

- C++ code optimization in performance-wise to image processing

- Experience with at least of the programming language C++ / Python / CUDA

- - Able to work in US without any Work Visa sponsor/transfer/Extension/ support, now and future

Have at least one of the followings:

- Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation.

- Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems

- Algorithm optimization for efficient processing, exploiting parallelism, and GPU

- Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years)

- C++ programming skills, preferably in an embedded environment with GPU and familiar with UML

Benefits

- No Visa Sponsor

- Salary range : $110-160K

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays

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