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Computer Vision Image Processing Jobs (NOW HIRING)

Apple

Camera Architect

Sunnyvale, CA · On-site

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

Apple

Camera Architect

Sunnyvale, CA · On-site

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

Qeexo, Co.

Computer Vision Sales Executive

Pittsburgh, PA · On-site

$130K - $150K/yr

Computer Vision Sales Executive A Computer Vision Sales role combines technical expertise in AI/image processing with sales strategy to drive revenue. Responsibilities include conducting technical ...

United IT Solutions

Computer Vision Engineer

Fremont, CA

$122.10K - $143.90K/yr

As a Computer Vision Software Engineer, your tasks are focused on developing and testing image processing algorithms used in our robotic systems. The work covers the entire pipeline from data ...

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

As of Jun 3, 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 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.

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 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 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.

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What cities are hiring for Computer Vision Image Processing jobs? Cities with the most Computer Vision Image Processing job openings:
What job categories do people searching Computer Vision Image Processing jobs look for? The top searched job categories for Computer Vision Image Processing jobs are:
Computer Vision Image Processing jobs near you
Infographic showing various Computer Vision Image Processing job openings in the United States as of May 2026, with employment types broken down into 43% Full Time, 56% Part Time, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $43,372 per year, or $20.9 per hour.
Camera Architect

Camera Architect

Apple

Sunnyvale, CA • On-site

Full-time

Posted 8 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Apple Camera Architecture team is seeking an energetic and highly motivated leader to drive future camera hardware requirements and definitions for exciting range of products. The camera architecture team initiates and fosters deep collaboration between all cross functional teams involved to deliver final camera performance and features, from the hardware level to user facing applications. The end goal is to successfully tie in highly optimized camera hardware solutions with state-of-the-art software providing market leading imaging experiences. ..The ideal candidate is someone who can perform detailed system analysis and tradeoff evaluations, derive camera and camera system requirements from use cases, and characterize and simulate optical systems to aid the design and validation process.
As a Camera Architect you will be working closely with camera HW, product HW, algorithm and SW teams on future Apple imaging solutions.
BS in Physics, Engineering, Computer Science, Imaging Science or equivalent and a minimum 3 years of relevant experience.Familiarity with camera technologies and optical science, knowledge in two or more of the following areas: optics, camera calibration, computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipeline
MS, or PhD in Physics, Engineering, Computer Science, Imaging Science or equivalentExperience in three of the follow camera technologies and optical science areas: optics, camera calibration, computer vision, image quality metrics, image sensor and pixel fundamentals, image processing pipelineExperience defining camera metrics and specifications through product goals, user studies and image/data analysisUnderstanding of important camera metrics and common design tradeoffs to achieve required goalsAbility to communicate and collaborate with cross-functional partners to recommend solutions and influence product decisions at leadership level

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Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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