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$5

$62

$89

How much do image processing engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for image processing engineer in Virginia is $62.05, according to ZipRecruiter salary data. Most workers in this role earn between $51.49 and $66.25 per hour, depending on experience, location, and employer.

What does an image processing engineer do?

An Image Processing Engineer designs, develops, and implements algorithms and systems to analyze, enhance, and manipulate digital images. They work on tasks such as image filtering, feature extraction, pattern recognition, and computer vision applications. Their work is used in a variety of fields including medical imaging, robotics, surveillance, and multimedia. They often use programming languages like Python or C++ and tools like OpenCV or MATLAB to solve complex image-related problems.

What is the difference between Image Processing Engineer vs Computer Vision Engineer?

AspectImage Processing EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of image processing algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision techniques
Work EnvironmentResearch labs, tech companies, imaging hardware firmsTech companies, autonomous vehicles, robotics, AI firms
Industry UsageFocus on image enhancement, filtering, and analysisFocus on object detection, scene understanding, and AI integration

While both roles involve working with visual data, Image Processing Engineers primarily focus on improving and analyzing images through algorithms, whereas Computer Vision Engineers develop systems that interpret and understand visual information for applications like autonomous vehicles and AI. The roles often overlap but differ in their core objectives and application areas.

What does an image processing engineer do?

An image processing engineer assists with the entire life cycle of data classification algorithms and image processing for a company. Your responsibilities in this career are to analyze data, write reports, develop methods for feature extraction and classification, research basic to advanced image processing algorithms, give presentations, and create visual interpretations of data. Your duties also include working on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. You also develop algorithms for real 3D images and accurate wireless tracking.

What are some common challenges image processing engineers face when working on cross-functional teams?

Image Processing Engineers often collaborate with data scientists, software developers, and hardware engineers, which can present challenges in aligning technical requirements and timelines. One frequent hurdle is ensuring that image processing algorithms integrate seamlessly with broader system architectures, especially when resources or real-time performance constraints are involved. Clear communication and adaptability are key, as team members may have differing levels of understanding of image processing concepts. Building strong collaborative relationships and regularly sharing progress can help overcome these challenges and ensure project success.

What are the key skills and qualifications needed to thrive as an image processing engineer, and why are they important?

To thrive as an Image Processing Engineer, you need a strong background in mathematics, computer vision, and programming (often with a degree in computer science, electrical engineering, or a related field). Familiarity with tools and libraries such as OpenCV, MATLAB, Python, and machine learning frameworks is typically expected, along with experience in image analysis algorithms. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex results. These skills are crucial for developing robust image processing solutions that meet technical requirements and drive innovation in fields like healthcare, automotive, and security.
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What are popular job titles related to Image Processing Engineer jobs in VA? For Image Processing Engineer jobs in VA, the most frequently searched job titles are:
Image Processing Engineer jobs near you
Infographic showing various Image Processing Engineer job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $129,054 per year, or $62 per hour.

Image Scientist (Mid), Springfield, VA

Beyond SOF

Springfield, VA • On-site

Full-time

Re-posted 22 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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