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Camera Algorithm Jobs (NOW HIRING)

Apple

Calibration Algorithm Architect

Cupertino, CA · On-site

These products have cameras and other optical technologies that need calibration and testing to ... You will also evaluate and extend existing algorithm implementations in C++ and/or Python to ...

Rylo

Algorithm Engineer

San Francisco, CA · On-site

Rylo is a powerful camera that captures everything around you and creates exceptionally smooth ... See Rylo in action In this role, you will work on core algorithms for the Rylo camera and future ...

Rylo

Algorithm Engineer

San Francisco, CA · On-site

Rylo is a powerful camera that captures everything around you and creates exceptionally smooth ... See Rylo in action In this role, you will work on core algorithms for the Rylo camera and future ...

Apple

Calibration Algorithm Architect

Cupertino, CA · On-site

$184K - $324K/yr

These products have cameras and other optical technologies that need calibration and testing to ... You will also evaluate and extend existing algorithm implementations in C++ and/or Python to ...

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

This role sits at the intersection of hardware, algorithms, and software, with a strong focus on modern ML-based vision systems. What you'll do * Own camera-based perception pipelines from sensor ...

Apple

Camera Image Processing Engineer

Cupertino, CA

$150K - $277K/yr

iPhone is the most popular camera in the world, with billions of photos taken every year. The ... Implement algorithms on-device to run efficiently on the GPU. Preferred Qualifications An ...

Apple

Camera Image Processing Engineer

Cupertino, CA · On-site

iPhone is the most popular camera in the world, with billions of photos taken every year. The ... In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to ...

Apple Inc.

Camera System Integration Engineer

Cupertino, CA · On-site

$150K - $225K/yr

As part of our Camera Technologies group, you'll help design the innovative technology that allows ... Understanding of geometric optics and image quality evaluation including test charts, algorithms ...

Apple

Camera System Integration Engineer

Cupertino, CA · On-site

$150K - $225K/yr

As part of our Camera Technologies group, you'll help design the innovative technology that allows ... Understanding of geometric optics and image quality evaluation including test charts, algorithms ...

Apple Inc.

$150K - $277K/yr

The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos ... Implement algorithms on-device to run efficiently on the GPU. Minimum Qualifications * Strong ...

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Camera Algorithm information

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How much do camera algorithm jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for camera algorithm in the United States is $28.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $30.53 per hour, depending on experience, location, and employer.

What is a camera algorithm engineer?

Camera algorithm engineers are professionals who develop and optimize software algorithms that control how cameras capture, process, and enhance images and videos. They work on tasks such as autofocus, auto-exposure, noise reduction, white balance, and image stabilization, ensuring high-quality output from digital cameras and smartphones. These engineers often collaborate with hardware teams to integrate their algorithms with camera sensors and processors for optimal performance in various lighting and shooting conditions.

What are the key skills and qualifications needed to thrive as a camera algorithm engineer, and why are they important?

To thrive as a Camera Algorithm Engineer, you need a solid background in image processing, computer vision, and mathematics, typically with a degree in electrical engineering, computer science, or a related field. Familiarity with tools such as MATLAB, Python, C/C++, and frameworks like OpenCV or TensorFlow, along with experience in algorithm development and optimization, is crucial. Strong problem-solving skills, attention to detail, and effective teamwork and communication set top candidates apart. These skills ensure the development of high-quality camera algorithms that deliver superior image quality and performance in real-world devices.

What are some common challenges faced by professionals working in camera algorithm development, and how can they be addressed?

Professionals developing camera algorithms often encounter challenges such as optimizing image quality under varying lighting conditions, reducing processing latency for real-time applications, and ensuring algorithm compatibility across different hardware platforms. These challenges require a strong understanding of image signal processing, close collaboration with hardware and software teams, and the ability to iterate quickly based on testing results. Staying updated with the latest advancements in computer vision and leveraging simulation tools can help address these issues effectively.

What other helpful pages are available for Camera Algorithm?

Other pages related to Camera Algorithm:

Camera Imaging Software Engineer, Camera & Photos

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

$184K - $324K/yr

Full-time

Medical, Dental, Retirement

Re-posted 24 days ago

Key responsibilities

  • Develop and debug camera pipeline algorithms and software

  • Optimize the pipeline for reduce latency and power consumption

  • Collaborate closely with cross-functional teams to create ground-breaking technologies and systems

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

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, machine learning, and artificial intelligence. As an engineer on our team you'll develop and extend those software pipelines, working side-by-side with the world-class engineers who made iPhone’s camera what it is today, and build new great camera capabilities spanning the universe of Apple devices. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work too.
Description
If you consider yourself an engaging and highly-collaborative engineer with excellent communication skills, and are comfortable in a dynamic environment, we have a rewarding opportunity for you. We’re looking for a strong software engineer to help implement and optimize deep neural networks, and combine them with GPU-based image processing algorithms using Metal, to make photos look good. In this role, you will work closely with research and frameworks teams on integration of computer vision and computational photography algorithms in a performance- and memory-sensitive environment. You will then feed this experience back to the hardware architecture team to help drive future chip designs.","responsibilities":"Develop and debug camera pipeline algorithms and software
Optimize the pipeline for reduce latency and power consumption
Collaborate closely with cross-functional teams (software, hardware, algorithms) to create ground-breaking technologies and systems
Present results clearly and discuss technical topics effectively
Preferred Qualifications
Familiarity with GPU programming in Metal, OpenGL(ES), OpenCL, or CUDA
Thrive in a collaborative team, building software together
Excellent verbal and written communication
Focus on details that are meaningful to our customers
Minimum Qualifications
Strong programming skills, especially in Objective-C or C++
Experience with Unix/Linux, preferably macOS or iOS
Proficient with debugging techniques, preferably on embedded mobile platforms
Familiar with image processing concepts and algorithms
Skilled with performance and memory optimization
A CS degree or years of relevant experience
Pay & Benefits
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 $184,700 and $324,800, 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.

What Apple employees say

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Workplace

Get the full story on Breakroom

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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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