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Image Processing Engineer Jobs in Maryland (NOW HIRING)

InterImage

InterImage currently has a need for an Image Processing SME Experience Required: Experience ... The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics ...

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$87

How much do image processing engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for image processing engineer in Maryland is $60.74, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $64.86 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 MD? For Image Processing Engineer jobs in MD, the most frequently searched job titles are:
Image Processing Engineer jobs near you
Infographic showing various Image Processing Engineer job openings in Maryland as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $126,336 per year, or $60.7 per hour.
Image Processing Engineer IV

Image Processing Engineer IV

Quantum Space

Rockville, MD

Other

Posted 12 days ago

Job description

Role Scope:
The Image Processing Engineer IV will serve as a principal technical authority for advanced optical payload and image processing applications. This role balances high level technical oversight of algorithmic deliverables with hands on development and evaluation of flight ready computer vision and image processing algorithms. The ideal candidate will bridge the gap between hardware capabilities (sensor/optics) and software execution, driving the autonomous processing capabilities for critical space missions.
 Key Responsibilities: 
  • Technical Oversight: Serve as the primary technical point of contact monitoring a algorithmic development. Ensure deliverables meet rigorous mission requirements, timelines, and integration standards. 
  • Algorithm Development & Evaluation: Design, simulate, and evaluate advanced image processing and computer vision algorithms for real time object detection, tracking, and characterization. 
  • System Level Electro Optical (EO) Evaluation: Analyze and model sensor and optical system performance to determine feasibility and optimize hardware configurations for specific mission concepts. 
  • Algorithmic Transition & Scaling: Architect scalable algorithms that can pivot from initial point source tracking (Space Domain Awareness) to close range, resolved target processing (Rendezvous and Proximity Operations). 

 Qualifications & Competencies 
  • Required Education: Master's or Ph.D. in Aerospace Engineering, Electrical Engineering, Computer Science, Physics, Optical Sciences, or a related technical discipline. 
  • Core Technical Skills: 
    • Deep expertise in image processing, computer vision, and pattern recognition (e.g., edge detection, feature extraction, filtering, and multi-target tracking). 
    • Strong proficiency in modeling and simulation environments (such as MATLAB, Python, or C++). 
    • Experience with Electro-Optical/Infrared (EO/IR) sensor modeling, radiometric budgets, and optical system performance metrics.
  •  Soft Skills & Domain Expertise:
    • Proven experience managing technical milestones and requirements with external vendors or subcontractors. 
    • Familiarity with space-based operational domains, orbital mechanics, or satellite subsystem constraints. 
  • Preferred (Nice-to-Have): 
    • Experience processing or integrating Active Optical sensors like LiDAR for 3D cloud mapping or relative navigation. 
    • Experience implementing algorithms on constrained flight hardware (FPGAs, GPUs, or embedded systems). 
  • Years of Experience
    • 8 to 12+ years of progressive experience in image processing and computer vision engineering, preferably within the aerospace, defense, or space systems industry. 

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