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Computational Imaging Jobs (NOW HIRING)

You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image reconstruction, and downstream inference performance. You ...

$108 - $195/hr

You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image reconstruction, and downstream inference performance. You ...

You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image reconstruction, and downstream inference performance. You ...

Computational Imaging Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

They are seeking a Computational Imaging Engineer to take technical ownership of their optical systems and imaging pipeline, collaborating across multiple teams to develop innovative imaging ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ways to address challenges faced by our customers. Our solutions embrace deep learning and add ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ways to address challenges faced by our customers. Our solutions embrace deep learning and add ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ways to address challenges faced by our customers. Our solutions embrace deep learning and add ...

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How much do computational imaging jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for computational imaging in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a computational imaging?

A Computational Imaging job involves developing algorithms and techniques to enhance, reconstruct, or extract information from images using computational methods. Professionals in this field work at the intersection of imaging hardware, signal processing, and artificial intelligence to improve image quality and enable new imaging capabilities. These roles are common in industries like medical imaging, computer vision, scientific research, and autonomous systems. Strong skills in programming, mathematics, and image processing are typically required.

What are the key skills and qualifications needed to thrive in computational imaging, and why are they important?

To thrive in Computational Imaging, you need a strong background in mathematics, computer science, and image processing, usually supported by an advanced degree in a related field. Expertise with programming languages like Python or MATLAB, experience with imaging software, and sometimes familiarity with machine learning frameworks are essential. Strong problem-solving abilities, teamwork, and effective communication skills set top candidates apart. These capabilities enable professionals to design and implement innovative algorithms that solve complex imaging challenges across industries such as healthcare, manufacturing, and remote sensing.

What types of projects might a computational imaging professional work on in a typical company?

Computational Imaging professionals often work on projects such as developing advanced algorithms for medical image reconstruction, enhancing image quality in cameras, or creating systems for non-destructive testing in manufacturing. Day-to-day responsibilities can include collaborating with multidisciplinary teams of engineers, scientists, and product managers to solve complex imaging problems and support product development. These roles may involve both research and prototyping, as well as optimizing solutions for deployment in real-world applications. The variety of projects allows for skill growth and frequent opportunities to see your work directly impact products and services.

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What cities are hiring for Computational Imaging jobs?

Cities with the most Computational Imaging job openings:

What are the most commonly searched types of Computational Imaging jobs?

The most popular types of Computational Imaging jobs are:

What states have the most Computational Imaging jobs?

States with the most job openings for Computational Imaging jobs include:

Infographic showing various Computational Imaging job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 69% Full Time, 14% Part Time, and 13% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Imaging Scientist

Leidos

San Diego, CA • On-site

Full-time

Posted 15 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

80th of 500 rated business services


Job description

Are you ready for your next career challenge?

The Leidos Defense Space Business Area is seeking an Optical Engineer specializing in Computational Imaging to support the Emerging Space Systems Division in the development of meta-optic-enabled computational imaging systems for edge processing on next-generation space missions. The Space Business Area is transforming space payload solutions through customer-funded programs and internal research and development (IR&D) efforts focused on enabling new capabilities in space-based sensing.

Primary Responsibilities

In this role, you will support the design, modeling, and experimental validation of infrared meta-optic systems integrated with digital reconstruction and inference algorithms. You will develop and apply computational imaging models that connect optical design, image formation, detector response, calibration, image reconstruction, and downstream inference performance.

You will contribute to the development of simulation tools and algorithms for analyzing hybrid optical-digital imaging systems, including forward image-formation models, inverse-problem formulations, reconstruction algorithms, and end-to-end optimization of optical and computational parameters. You will also support design trades and system-level evaluations involving image quality, signal-to-noise ratio, reconstruction fidelity, classification performance, robustness, and computational complexity.

Working closely with senior engineers and cross-functional teams, you will help evaluate and mature emerging optical technologies, includingmetaopticsandoptical computing systems,analyze experimental data to inform design decisions, and document results to support internal R&D and program efforts.

This position includes both analytical and experimental responsibilities, with an emphasis on modeling and algorithm development. The ideal candidate is comfortable working across optical simulation, computational imaging, machine learning, and laboratory environments and is interested in developing integrated optical-digital sensing systems.

Basic Qualifications

  • BS degree in Physics, Materials Science, Optics, or a related field with 8+ years of prior relevant experience or MS with 6+ years of prior relevant experience. May possess a Doctorate in technical domain.
  • Demonstrated research or development experience in computational imagingor a closely related field
  • ExperiencewithFourier optics, wave propagation, diffraction, and coherence theory
  • Experience with optimization methods used in computational imaging, including gradient-based optimization, regularization, or statistical estimation
  • Familiarity with machine-learning-based reconstruction or inference methods, including convolutional neural networks or related architectures
  • Experience programming in Python using scientific-computing and machine-learning tools such as NumPy, SciPy,PyTorch, JAX, or TensorFlow; experience with MATLAB or C++ may also be applicable
  • Strong analytical and problem-solving skills with attention to detail
  • Must be a U.S Citizen
  • Must be able to obtain and maintain a Secret security clearance.

Preferred Qualifications

  • Active Secret clearance with ability to obtain a higher-level clearance (TS/SCI)
  • Experience designing or modeling optical systems usingZemaxOpticStudio, CODE V, FRED, or equivalent software
  • Experience developing and evaluating machine-learning-based image reconstruction, detection, or classification systems
  • Experience working in a laboratory environment, including optical alignment, imaging-system testing, detector characterization, or optical characterization
  • Familiarity with diffractive optics, meta-optics,metasurfaces, ornanophotonicinverse-design
  • Experience with electromagnetic modeling tools such as COMSOL, AnsysLumerical, or equivalent
  • Record of research contributionsdemonstratedthrough publications, patents, conference presentations, or development of relevant computational-imaging systems

Why Leidos?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Our team is solving the world's toughest security challenges for customers with "can't fail" missions.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:August 19, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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