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Image Processing Engineer Jobs in Maryland (NOW HIRING)

Quantum Space

Image Processing Engineer III

Rockville, MD · On-site

$140K - $185K/yr

Who We're Looking For We are seeking an Image Processing Engineer III who will be responsible for transitioning algorithm prototypes from conceptual design to operational readiness. This role ...

Johns Hopkins Applied Physics Laboratory

$85K/yr

We are looking for a driven Signal and Image Processing Engineer to join us in pushing the boundaries of digital signal and image processing techniques to advance electromagnetic system capabilities ...

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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How much do image processing engineer jobs pay per hour?

As of Aug 31, 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 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 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 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 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.

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Image Processing Engineer jobs near you
Infographic showing various Image Processing Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $126,336 per year, or $60.7 per hour.

Image Processing Engineer III

Rockville, MD • On-site

Quantum Space
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Quantum Spaceexternal

$140K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

Job description

Quantum Space is redefining mobility and maneuverability in space. Our high-mobility spacecraft platforms support national security, civil, and commercial missions with unmatched flexibility and propulsion capability. We build fast and iterate quickly.
Who We're Looking For
We are seeking an Image Processing Engineer III who will be responsible for transitioning algorithm prototypes from conceptual design to operational readiness. This role requires an engineer who can design mathematical models to solve complex tracking and navigation problems under difficult lighting and environmental conditions.
Beyond core development, this engineer will define and execute validation protocols to evaluate alternative or competitor algorithms against mission requirements. Additionally, the role bridges the gap between software and hardware by evaluating the feasibility of various sensor and optical systems to ensure they can deliver the input fidelity necessary for algorithmic success.
Where You'll Make an Impact
  • Algorithm Development & Engineering: Advance and mature image processing and computer vision prototypes into production-ready software solutions.
  • Multi-Feature & Target Tracking: Design and implement robust estimation logic to track and localize multiple visual features simultaneously within dynamic or challenging environments.
  • Statistical Error & Uncertainty Analysis: Develop mathematical models to estimate data confidence, handle measurement uncertainties, and provide reliable covariance metrics for downstream navigation or data fusion filters.
  • Data Filtering & Optimization: Implement robust outlier rejection, noise filtering, and subpixel refinement techniques to ensure high data precision and system stability.
  • Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms.
  • Hardware-Software Integration: Analyze and simulate the impacts of sensor and optical hardware characteristics (e.g., resolution, lens distortions, lighting sensitivity) on algorithm performance to guide system-level design choices.
  • Interface & API Design: Define, maintain, and implement clear software interfaces, data contracts, and schema-validated API structures for seamless integration into larger architectures.

What It Takes
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Aerospace Engineering, or a related technical field. An advanced degree (M.S. or Ph.D.) with relevant research may be considered in lieu of some professional experience.
  • 5+ years of hands-on experience developing computer vision, image processing, or estimation algorithms in a production, research, or mission-critical environment.
  • Strong foundation in computer vision, image processing, estimation theory, linear algebra, probability, statistics, and numerical optimization.
  • Experience developing software inC++ and/or Python for algorithm development, simulation, and performance evaluation.
  • Experience designing, validating, and optimizing algorithms using real-world sensor data, synthetic datasets, or simulation environments.
  • Familiarity with camera systems, optical sensors, image formation, calibration, and the effects of lighting and environmental conditions on algorithm performance.
  • Experience with software development best practices, including version control, testing, debugging, documentation, and collaborative development workflows.
  • Ability to communicate complex technical concepts effectively and collaborate across multidisciplinary engineering teams.

What You'll Get
  • Ownership - Lead the development of advanced image processing and computer vision algorithms from concept through operational deployment, with direct influence on mission-critical spacecraft capabilities
  • Impact - Solve complex tracking, navigation, and estimation challenges that enable autonomous spacecraft operations across national security, civil, and commercial space missions
  • Innovation - Work at the intersection of software, mathematics, optics, and sensor technologies to develop next-generation vision systems that push the boundaries of space autonomy
  • Growth - Join a fast-moving, collaborative engineering team where you'll partner with experts across software, GNC, autonomy, and spacecraft systems while expanding your technical expertise on cutting-edge space missions
  • Compensation - Competitive salary, equity, and comprehensive benefits including medical, dental, vision, generous leave, HSA, 401(k) matching, and equity sharing

Location: Rockville, MD; or Hawthorne, CA; or Denver, CO
Base Salary: $140,000 -$185,000
The salary range for this role is an estimate based on a wide range of compensation factors. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Quantum Space's total compensation package.
Additional Requirements
To comply with U.S. Government space technology export regulations, including ITAR, applicants must be a U.S. citizen, lawful permanent resident, protected individual per 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Apply now. Join us in building the next generation of spacecraft.

Apply