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Image Processing Engineer Jobs in California (NOW HIRING)

Array Labs

Signal Processing Engineer

Redwood City, CA · On-site

$150K - $300K/yr

About the Job We are seeking a Signal Processing Engineer to join our team and build the core ... Our next-generation satellite technology will offer image quality 60x greater than traditional ...

Jj

Staff Image Quality Engineer

Santa Clara, CA

Develop and prototype image processing algorithms for endoscopic video and work with cross ... Minnium B.S. in Electrical Engineering, Computer Science/Engineering, Biomedical Engineering ...

Array Labs

Signal Processing Engineer

Redwood City, CA

$150K - $300K/yr

About the Job We are seeking a Signal Processing Engineer to join our team and build the core ... Our next-generation satellite technology will offer image quality 60x greater than traditional ...

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$5

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How much do image processing engineer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for image processing engineer in California is $61.76, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $65.96 per hour, depending on experience, location, and employer.

What Does an Image Processing Engineer Do?

An image processing engineer assists with the entire life cycle of data classification algorithms and image processing for a company. Your responsibilities in this career are to analyze data, write reports, develop methods for feature extraction and classification, research basic to advanced image processing algorithms, give presentations, and create visual interpretations of data. Your duties also include working on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. You also develop algorithms for real 3D images and accurate wireless tracking.

What are the key skills and qualifications needed to thrive as an Image Processing Engineer, and why are they important?

To thrive as an Image Processing Engineer, you need a strong background in mathematics, computer vision, and programming (often with a degree in computer science, electrical engineering, or a related field). Familiarity with tools and libraries such as OpenCV, MATLAB, Python, and machine learning frameworks is typically expected, along with experience in image analysis algorithms. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex results. These skills are crucial for developing robust image processing solutions that meet technical requirements and drive innovation in fields like healthcare, automotive, and security.

What are some common challenges Image Processing Engineers face when working on cross-functional teams?

Image Processing Engineers often collaborate with data scientists, software developers, and hardware engineers, which can present challenges in aligning technical requirements and timelines. One frequent hurdle is ensuring that image processing algorithms integrate seamlessly with broader system architectures, especially when resources or real-time performance constraints are involved. Clear communication and adaptability are key, as team members may have differing levels of understanding of image processing concepts. Building strong collaborative relationships and regularly sharing progress can help overcome these challenges and ensure project success.

What is the difference between Image Processing Engineer vs Computer Vision Engineer?

AspectImage Processing EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of image processing algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision techniques
Work EnvironmentResearch labs, tech companies, imaging hardware firmsTech companies, autonomous vehicles, robotics, AI firms
Industry UsageFocus on image enhancement, filtering, and analysisFocus on object detection, scene understanding, and AI integration

While both roles involve working with visual data, Image Processing Engineers primarily focus on improving and analyzing images through algorithms, whereas Computer Vision Engineers develop systems that interpret and understand visual information for applications like autonomous vehicles and AI. The roles often overlap but differ in their core objectives and application areas.

More about Image Processing Engineer jobs
What are the most commonly searched types of Image Processing Engineer jobs in California? The most popular types of Image Processing Engineer jobs in California are:
What are popular job titles related to Image Processing Engineer jobs in California? For Image Processing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Image Processing Engineer jobs in California look for? The top searched job categories for Image Processing Engineer jobs in California are:
What cities in California are hiring for Image Processing Engineer jobs? Cities in California with the most Image Processing Engineer job openings:
What are popular job titles related to Image Processing Engineer jobs in CA? For Image Processing Engineer jobs in CA, the most frequently searched job titles are:
Image Processing Engineer jobs near you
Infographic showing various Image Processing Engineer job openings in California as of May 2026, with employment types broken down into 2% As Needed, 86% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $128,466 per year, or $61.8 per hour.
Machine Learning Video Processing Engineer

Machine Learning Video Processing Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted 15 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

Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you'll be developing machine learning based technologies for the image and video domain. As a member of a fast-paced team, you will also have the unique and exciting opportunity to shape upcoming products that have direct customer impact and will delight and inspire millions of people every day!
This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you'll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You'll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you'll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you'll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions.
Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.Excellent fundamentals in machine learning.Knowledge of Video or Image processing or Computer Vision.Solid programming skills for common ML frameworks like PyTorch or TensorFlow.
Master degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.Experience in prototyping models for edge devices through quick iterations.Familiarity with productization flow for ML models.Prior experience working on deep learning techniques for video processing / computer vision.Strong fundamentals in Computer architecture.Good written and oral interpersonal skills

What Apple employees say

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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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