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Image Processing Engineer Jobs in Virginia (NOW HIRING)

FPGA Developer

Fairfax, VA · On-site

$94K - $156K/yr

Support existing FPGA Image processing designs with bug fixes, version upgrades, and new features as required * Work with System and Algorithm Engineers to partition new applications into components ...

FPGA Developer

Fairfax, VA · On-site

$94K - $156K/yr

Support existing FPGA Image processing designs with bug fixes, version upgrades, and new features as required * Work with System and Algorithm Engineers to partition new applications into components ...

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Image Processing Engineer information

See Virginia salary details

$5

$62

$89

How much do image processing engineer jobs pay per hour?

As of Jun 25, 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.
What are the most commonly searched types of Image Processing Engineer jobs in Virginia? The most popular types of Image Processing Engineer jobs in Virginia are:
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:

Sr. Software Development Engineer - Imagery OOJ - 35552

Hatch Global Search

Mclean, VA • Remote

$124K - $163K/yr

Full-time

Posted 22 days ago


Job description

Apply your software development experience to build and release our software technologies focused on the intersection between GIS, photogrammetry and remote sensing for the defense and intelligence communities.
In this role, you will work with a talented team of software developers and product engineers to create, build, test, and release advanced software technologies focused on imagery users.
This is an exciting opportunity to focus your development skills on imagery sources to include MS and HSI, TIR, RADAR, LiDAR, Full Motion Video (FMV), and other remotely sensed data and information.
The work will focus on an analytical capability that will further the efficacy of remote sensing in a GIS.

Responsibilities

Understand U.S. DoD and intelligence community user requirements and develop appropriate GIS and remote sensing software for various defense and intelligence scenarios

Solve and articulate complex problems to development and build awesome user experiences

Develop rich image processing and analysis capabilities for multiple modalities including EO MS and HSI, TIR, Radar, and motion imagery

Develop industry-leading software for common defense and intelligence formats such as NITF, TFRD, and MISB compliant video (FMV)

Develop advanced image processing components, algorithms, and APIs

Develop advanced radiometric image processing, photogrammetric software components, workflows, and user experiences

Collaborate with software developers to integrate community toolkits and libraries into ArcGIS (AGITK, MSP, and more)

Requirements

5+ years of software development experience working on COTS or GOTS imagery applications

Professional experience and proficiency in C++ or C#

Applied experience with remote sensing, image processing, photogrammetry, and/or image analysis application development

Experience in the defense and/or intelligence communities

Active U.S. Top Secret clearance with the ability to obtain SCI level access

Bachelors in computer science, geography, engineering, remote sensing, photogrammetry, or related field

Recommended Qualifications

Master's or PhD in computer science, remote sensing or other engineering/scientific discipline

Experience using Esri APIs

Experience in processing pipeline optimization

Familiarity with the NITF format and specifications

Experience with ArcGIS, ENVI, Socet GXP, or RemoteView

Qualifications

Requirements

5+ years of software development experience working on COTS or GOTS imagery applications

Professional experience and proficiency in C++ or C#

Applied experience with remote sensing, image processing, photogrammetry, and/or image analysis application development

Experience in the defense and/or intelligence communities

Active U.S. Top Secret clearance with the ability to obtain SCI level access

Bachelors in computer science, geography, engineering, remote sensing, photogrammetry, or related field

Recommended Qualifications

Master's or PhD in computer science, remote sensing or other engineering/scientific discipline

Experience using Esri APIs

Experience in processing pipeline optimization

Familiarity with the NITF format and specifications

Experience with ArcGIS, ENVI, Socet GXP, or RemoteView

Why is This a Great Opportunity

Apply your software development experience to build and release our software technologies focused on the intersection between GIS, photogrammetry and remote sensing for the defense and intelligence communities.