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Digital Image Processing Jobs (NOW HIRING)

Qualcomm

Camera Modelling Engineer

San Diego, CA · On-site

$87K - $116K/yr

Preferred : • Familiarity with digital image processing, imaging algorithms. • Familiarity with digital imaging algorithm tuning and IQ assessment. • Master's or Doctoral degree in Engineering ...

Labcorp

Digital Imaging Assistant

Madison, WI · On-site

Performs digital image processing including the assembly of photographic material intended for Client delivery. * Performs digital pathology system administration, aids Pathologists staff in digital ...

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Digital Image Processing information

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$45.5K

$54.1K

$59K

How much do digital image processing jobs pay per year?

As of Jun 12, 2026, the average yearly pay for digital image processing in the United States is $54,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Digital Image Processing position, and why are they important?

To thrive in Digital Image Processing, a strong background in mathematics, computer science, and image analysis is typically required, often with a bachelor's or advanced degree in a related field. Expertise with programming languages such as Python or MATLAB, experience using image processing libraries (like OpenCV or scikit-image), and familiarity with machine learning tools are important assets. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals excel in collaborative and dynamic settings. These competencies are crucial for developing accurate, efficient solutions to real-world image-related challenges in industries like healthcare, robotics, or multimedia.

What is a Digital Image Processing job?

A Digital Image Processing job involves utilizing algorithms and software to enhance, analyze, and manipulate images for various applications, such as medical imaging, computer vision, and remote sensing. Professionals in this field work with techniques like filtering, segmentation, object recognition, and machine learning to improve image quality and extract meaningful information. They often use programming languages like Python, MATLAB, or C++ and work in industries such as healthcare, robotics, and surveillance.

What are some typical responsibilities of a Digital Image Processing professional on a day-to-day basis?

Professionals in Digital Image Processing are often responsible for designing, testing, and implementing algorithms to enhance, analyze, or extract meaningful information from digital images. Daily tasks may include coding new solutions, pre-processing large image datasets, collaborating with cross-functional teams like data scientists or engineers, and optimizing existing pipelines for improved performance. They may also document their results, experiment with new imaging techniques, and troubleshoot technical issues as they arise. This role blends technical innovation with hands-on problem-solving, and frequently involves working in fast-paced, collaborative environments.

More about Digital Image Processing jobs
What cities are hiring for Digital Image Processing jobs? Cities with the most Digital Image Processing job openings:
What are the most commonly searched types of Digital Image Processing jobs? The most popular types of Digital Image Processing jobs are:
What states have the most Digital Image Processing jobs? States with the most job openings for Digital Image Processing jobs include:
What job categories do people searching Digital Image Processing jobs look for? The top searched job categories for Digital Image Processing jobs are:
Digital Image Processing jobs near you
Infographic showing various Digital Image Processing job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $54,138 per year, or $26 per hour.
Image Scientist (Mid), Springfield, VA

Image Scientist (Mid), Springfield, VA

Beyond SOF

Springfield, VA • On-site

Full-time

Posted 26 days ago

Job description

Image Scientist (Mid)
Position Description:
Candidate should have a working understanding and practical application of modeling
components of the image path to include sensor, detector, atmospheric, and material properties.
Imaging systems could include panchromatic (pan), RADAR, LIDAR, OPIR, hyperspectral
(HSI) and/or multispectral (MSI) on board space or airborne platforms. Familiarity with current
GEOINT systems, products and development, as well as the exploitation software packages will
be necessary to develop test and verification methodologies.
Required Experience/Education:
  • Bachelor or advanced degree in Image Science, Optics, Engineering, or Applied Physics
  • 5-10 years of experience working with electrical-optical, RADAR, LIDAR, hyperspectral and/or multispectral imaging platforms
  • Image processing and digital signal processing experience
  • Image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data
  • Applied knowledge of sensor imaging systems, products, and exploitation processes
  • Understanding of data processing and statistics
  • Strong written and oral communication skills, with emphasis on briefing, to obtain decisions and solve technical issues and test plans/report writing
  • Ability to work independently as well as part of a team in a dynamic work environment
  • Track record of delivering results
Preferred Skillset:
  • Knowledge of National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) image chain
  • Understanding and application of image quality standards (e.g. NIIRS), scales, metrics and image quality equations.
  • Experience working in a DoD or IC operational environment
  • Experience developing engineering code (C, Python, Matlab, IDL) to solve hard problems and create processes for repeatable results.

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