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Digital Image Processing Jobs in Virginia (NOW HIRING)

Image processing and Digital Signal processing experience * Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data

Image processing and Digital Signal processing experience * Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data

Image processing and Digital Signal processing experience * Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data

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Digital Image Processing information

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$45.1K

$53.7K

$58.5K

How much do digital image processing jobs pay per year?

As of Jun 1, 2026, the average yearly pay for digital image processing in Virginia is $53,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $58,500.00 per year, depending on experience, location, and employer.

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 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 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.
What are the most commonly searched types of Digital Image Processing jobs in Virginia? The most popular types of Digital Image Processing jobs in Virginia are:
What are popular job titles related to Digital Image Processing jobs in Virginia? For Digital Image Processing jobs in Virginia, the most frequently searched job titles are:
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Posted 8 days ago


Job description

Freedom Technology Solutions Group is seeking an Image Scientist. The  Image Scientist (IS) will serve as a technical specialist for research, evaluation and verification of highly complex image and video processing systems for geospatial intelligence sensors, systems, and applications. The IS will provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards. The IS will provide detailed recommendations and risk assessments to Government and technical leadership. The IS will design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows. The IS will mentor and guide junior image scientists in the development of criteria for testing algorithm and system's cognitive performance objectively from an end-user perspective, as well as perform evaluation and testing on simulated and operational data.

Required Qualifications:

  • Active TS/SCI with the ability to obtain a Poly
  • Master's degree/PhD in Imaging Science, Physics, Engineering, Mathematics or quantitative science field and 10 years of experience as a Image Scientist
  • Demonstrated knowledge of digital imaging systems principles and practices
  • Experience supporting the development, testing, and analysis of image collection systems
  • Experience applying engineering standards, principles, theories, concepts and techniques to solve complex problems associated with image product formation from raw sensor and associated metadata
  • Experience or working knowledge with advanced photogrammetric techniques and principles
  • Experience performing image system simulations to produce realistic test data to support system validation and testing
  • Experience or demonstrated ability to develop, assess, and implement Image Quality Equations
  • Experience building image processing algorithms
  • Experience programming in Matlab and/or Python, C++, or other equivalent programming languages
  • Experience analyzing and assessing quality of image data across the full-range of sensor types, sources, and phenomenology's

Junior Level:

  • Graduation from and accredited Image Science program at a university or military training program.  
  • Basic understanding of simulation and modeling techniques or the image creation process.  
  • Working knowledge of imagery systems to include basic types of PAN, IR, and RADAR.  
  • Working knowledge of various basic ELTs, Matlab, and mathematics/equations/functions.  
  • Basic knowledge of sensor types to include airborne, space-borne, and FMV.  
  • Knowledge of Microsoft Office tools.  
  • Basic oral and written communication skills.

Mid Level:

All the junior level experience plus:

  • Experience with creation of imagery evaluations, image quality studies, new product/sensor initializations, product algorithm assessments, and the development of image quality equations.  
  • Working knowledge and practical application of modeling components of the image creation path to include sensor, detector, atmospheric, and material properties.
  • Experience with imaging systems to include PAN, IR, MSI/HSI, RADAR, and LIDAR, on both space or airborne platforms.  
  • Simulation and modeling experience and ability to develop algorithm description documentation for software development.  
  • Familiarity with current GEOINT systems, products and development, as well as exploitation software packages such as all ELTs, AGITK, and other software plug-ins or applications necessary to develop test and verification methodologies.
  • Typically reports to a manager, work is independent yet collaborative.

Senior Level:

All the junior and mid Level experience plus:

  • Ability to develop and lead any large-scale evaluations to include, but not limited to, image quality studies, new product/sensor initializations, product algorithm assessments, back to operations reviews, and the development of image quality equations (IQEs).  
  • Full 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 to display radiometrically correct values.
  • Application of error estimation for thermometric and material identification products.  
  • Understanding and application of image quality standards such as NIIRS scales and metrics.  
  • Significant applied knowledge of sensor imaging systems, products, and exploitation processes.  
  • Strong understanding of the systems engineering lifecycle to include independent testing and data verification.  
  • Strong written and oral communication skills to include briefing and creation of presentations.  
  • Self-starter with ability to learn, research, and solve problems with on their own accord.
  • Work is highly independent and you may assume a lead role.