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Image Processing Research Engineer Jobs (NOW HIRING)

$200 - $250/hr

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident ...

WI · On-site

$100 - $125/hr

You will collaborate closely with researchers, software engineers, system engineers, business ... Develop and maintain image processing processors/workflows that transform raw satellite ...

$200 - $250/hr

GPU Image Processing Framework Software Engineer Cupertino, California, United States Software and Services iPhone is the most popular camera in the world, and at the heart of the image quality and ...

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Image Processing Research Engineer information

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How much do image processing research engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for image processing research engineer in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

What does an image processing research engineer do?

An Image Processing Research Engineer develops algorithms and techniques to analyze, enhance, and interpret digital images using computer vision and machine learning methods. They often work on tasks such as object detection, image segmentation, and feature extraction to solve real-world problems in areas like medical imaging, autonomous vehicles, and security. Their responsibilities include researching new approaches, implementing and testing algorithms, and collaborating with other engineers and scientists to integrate solutions into products or systems.

What are the key skills and qualifications needed to thrive as an image processing research engineer?

To thrive as an Image Processing Research Engineer, you need strong expertise in mathematics, signal processing, machine learning, and a relevant degree such as computer science or electrical engineering. Proficiency in programming languages like Python or C++, and experience with libraries and frameworks such as OpenCV, TensorFlow, or MATLAB are typically required. Analytical thinking, creativity, and effective communication are critical soft skills for developing innovative solutions and collaborating with multidisciplinary teams. These skills are essential for advancing image processing technology and delivering robust, real-world applications.

What are some common challenges faced by image processing research engineers when developing new algorithms?

Image Processing Research Engineers often encounter challenges such as balancing algorithm accuracy with computational efficiency, especially when working with large datasets or real-time applications. Ensuring robustness against varied image quality and environmental conditions can also be demanding. Additionally, successful collaboration with cross-functional teams—including software developers, data scientists, and hardware engineers—is essential to integrate new methods into production systems and to validate their effectiveness in real-world scenarios.

What are popular job titles related to Image Processing Research Engineer jobs?

For Image Processing Research Engineer jobs, the most frequently searched job titles are:

Infographic showing various Image Processing Research Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.

Camera Image Processing Engineer

On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

$200 - $250/hr

Other

Medical, Dental, Retirement

Posted 7 days ago


Key responsibilities

  • Analyze raw sensor data from camera modules and identify issues.

  • Develop and implement algorithms to address image artifacts and hardware deficiencies, running efficiently on the GPU.

  • Work with early-phase hardware prototypes to gather sensor information.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Cupertino, California, United States Software and Services

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers!The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident that your work will still give a high quality image in the end.

Description

We are looking for candidates with some basic image processing experience, and some familiarity with writing code on GPUs. In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to handle any problems. You can be called upon to fix problems arising from sensors, optics or control systems (such as auto focus and optical image stabilization). As such we do not expect you to be an expert on these things - there are too many to know them all! But we are looking for candidates with a demonstrated capability for creative thinking and quick learning. We increasingly use GenAI tools to help accelerate coding, but every change goes through a human review layer, so strong engineering judgment matters as much as raw output. Our team also designs traditional ML algorithms that run directly on the Apple Neural Engine (ANE).

Responsibilities
  • Work with early-phase hardware prototypes to gather sensor information.
  • Analyse sensor data from camera modules.
  • Develop algorithms to address any image artifacts coming from hardware deficiencies.
  • Implement algorithms on-device to run efficiently on the GPU.
Minimum Qualifications
  • Strong programming skills, particularly on Apple platforms - notably Swift, Metal, and Objective-C.
  • Some experience with image processing algorithms implemented on GPUs.
  • Graphics programming experience - comfortable working directly with pixels.
  • Exposure to machine learning, particularly as applied to image processing.
  • M.S. or Ph.D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of experience in a related field.
Preferred Qualifications
  • An understanding of photography and what makes an image look good or bad. Photography in challenging conditions, such as low-light or high movement is particularly useful.
  • Experience with an existing camera image processing pipeline.
  • Strong experience with optimizing GPU workloads to run efficiently.
  • Experience with performance-oriented, high-throughput compute.
  • A demonstrated track record of algorithm development - solving novel problems rather than applying known recipes.
  • Experience designing or deploying traditional ML algorithms that run on the Apple Neural Engine (ANE).

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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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