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Computational Photography Jobs (NOW HIRING)

Design and implement novel computational photography algorithms. * Work closely with the hardware team to design new camera products. * Transfer technology to product groups and see your ideas ...

Design and implement novel computational photography algorithms. * Work closely with the hardware team to design new camera products. * Transfer technology to product groups and see your ideas ...

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

From capturing cinematic video to enabling breakthrough computational photography, we're shaping how people see and share their world. Description This role sits at the intersection of real-time ...

iOS App Development Engineer

San Jose, CA · On-site

$60.75 - $83.50/hr

As part of our portfolio, we recently launched Project Indigo, an experimental camera app for iPhone that combines computational photography and AI, and that deliberately explores the boundaries of ...

iOS App Development Engineer

San Jose, CA · On-site

$60.75 - $83.50/hr

... camera apps, computational photography, and/or modern AI • Computational photography or image processing experience • Camera Raw and Lightroom experience • GPU programming experience ...

Quality Engineer, Nextcam

San Jose, CA

$84K - $109K/yr

We are looking for a Quality Engineer who is passionate about image quality, computational photography, and mobile user experiences. You are excited about testing complex imaging and video algorithms ...

Quality Engineer, Nextcam

San Jose, CA · On-site

$84K - $109K/yr

Responsibilities : • Test and validate new imaging and video algorithms, including image processing, computational photography, and video pipeline features. • Evaluate image and video quality ...

Quality Engineer, Nextcam

San Jose, CA · On-site

$84K - $109K/yr

We are looking for a Quality Engineer who is passionate about image quality, computational photography, and mobile user experiences. You are excited about testing complex imaging and video algorithms ...

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Computational Photography information

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$11K

$56.4K

$78K

How much do computational photography jobs pay per year?

As of Jun 25, 2026, the average yearly pay for computational photography in the United States is $56,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is computational photography?

Computational photography is a field within imaging and photography that uses algorithms and software to enhance or extend the capabilities of traditional cameras. It involves techniques such as image stitching, HDR imaging, and depth mapping, often requiring skills in programming, image processing, and familiarity with tools like MATLAB or OpenCV. Professionals in this area develop systems to improve image quality, enable new visual effects, or automate complex photography tasks.

What is a Computational Photography job?

A Computational Photography job involves using algorithms and software to enhance or extend photography beyond traditional camera capabilities. Professionals in this field work on image processing, computational imaging, and machine learning to improve image quality, automate enhancements, or create new visual effects. They often collaborate with engineers and researchers to develop imaging technologies for smartphones, cameras, and computer vision applications. Skills in programming, computer vision, and signal processing are commonly required.

Which type of photographer makes the most money?

In the field of photography, commercial photographers, including those working in advertising, fashion, and product photography, tend to earn the highest salaries. They often work with clients on high-budget projects and may require advanced skills, professional equipment, and a strong portfolio to command top pay.

What are the typical responsibilities of a computational photography professional on a day-to-day basis?

Computational photography professionals spend much of their time developing and testing algorithms that enhance or manipulate digital images, such as denoising, HDR, or depth mapping techniques. They often collaborate closely with hardware engineers, product designers, and other software developers to integrate their work into cameras, smartphones, or imaging applications. Regular tasks may include analyzing large datasets, optimizing code for real-time performance, and publishing or presenting research findings. This multidisciplinary environment means you'll frequently participate in team meetings, contribute to cross-functional projects, and stay up to date with the latest developments in imaging technology.

Is AI replacing photographers?

Computational photography professionals use AI tools to enhance image quality, automate editing, and develop new imaging techniques. While AI automates certain tasks, skilled photographers are still essential for creative vision, composition, and client interaction, making AI a complement rather than a replacement in the field.

What are the key skills and qualifications needed to thrive in the Computational Photography position, and why are they important?

To thrive in computational photography, you need a robust background in computer vision, algorithm development, and image processing, typically with an advanced degree in computer science, electrical engineering, or a related field. Familiarity with programming languages such as Python or C++, frameworks like OpenCV, and experience with machine learning libraries are highly valuable. Strong problem-solving skills, creativity, and collaboration abilities set exceptional candidates apart. These competencies are crucial because the role bridges technical innovation and practical application, driving advancements in digital imaging technologies.

What is the highest paying job in photography?

In the field of computational photography, high-paying roles include senior research scientists, imaging software engineers, and product managers at major technology companies, often requiring advanced degrees and specialized skills. These positions typically offer six-figure salaries, especially with experience and expertise in machine learning, computer vision, and image processing tools.
What are the most commonly searched types of Computational Photography jobs? The most popular types of Computational Photography jobs are:
What states have the most Computational Photography jobs? States with the most job openings for Computational Photography jobs include:
Infographic showing various Computational Photography job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $56,375 per year, or $27.1 per hour.
Algorithm Engineer

Algorithm Engineer

Rylo

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision

Posted 21 days ago


Job description

Rylo is a powerful camera that captures everything around you and creates exceptionally smooth, beautiful video that's easy to share. Developed by a team of former Instagram and Apple engineers, Rylo's breakthrough stabilization software and smartphone app eliminate the traditional pain points of shooting, editing, and sharing videos. With Rylo, you don't have to worry about framing your shot or holding the camera steady to capture a video you're proud to share - simply hit record and make the perfect video after-the-fact.
See Rylo in action
In this role, you will work on core algorithms for the Rylo camera and future products to fundamentally improve the photography and cinematography experience. This covers both the improvements of the image quality and creating new computational photography features. You will develop end-to-end solutions, including algorithm design, implementation, quality evaluation, performance optimization to final deployment.
By joining our small team, you'll work closely with software engineers, hardware engineers, and designers to push the boundaries and capabilities of consumer cameras. You will report directly to our CEO and co-founder, Alex Karpenko.
What you'll work on:
  • Design and implement novel computational photography algorithms.
  • Work closely with the hardware team to design new camera products.
  • Transfer technology to product groups and see your ideas shipped in product.

Who we're looking for:
  • Masters degree and 4 years of experience, or PhD in EE/CS.
  • Excellent knowledge of theory and practice of image processing, computer vision, computational photography.
  • You should be fluent in C / C++ programming and in a rapid prototyping environment such as MATLAB.
  • Parallel programming skills (e.g., CUDA, Halide, OpenCL, Metal) are a strong plus.
  • Strong communication skills required.

Why Rylo:
  • We're backed by Accel, Sequoia and Icon Ventures
  • You'll work with and learn from a highly cross-functional engineering team. Spanning software across the full stack: backend, frontend, iOS, Android, desktop, and embedded systems.
  • Just a year and a half after founding Rylo, we shipped our first camera on time and with a team of only 18. We love what we do and work hard to do it.
  • Since launching in November 2017, we've expanded distribution to some of the top retailers, such as Amazon and Best Buy.
  • We value: ownership, a thoughtful approach to problem solving, transparency, candor, and a willingness to learn and teach.
  • You'll help us build the future of cameras so that anyone can easily capture, edit, and share their favorite memories with the world.

Benefits and perks:
  • Your very own Rylo camera on your first day!
  • Join our team lunches, happy hours, and off-sites
  • Meaningful equity
  • Flexible work schedule
  • Medical, dental, and vision insurance
  • Easy access to snacks and drinks

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.