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Camera Image Processing Scientist Jobs (NOW HIRING)

InterImage currently has a need for an Image Processing SME Experience Required ... Experience analyzing and developing algorithms to correct scientific image data containing ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Designing, developing, and optimizing innovative image processing and computer vision algorithms ...

As part of our Camera Technologies group, you'll help design the innovative technology that allows ... Experience with algorithms for image processing. Preferred Qualifications MS/PhD degree in Optics ...

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Camera Image Processing Scientist information

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$50.5K

$111.3K

$137.5K

How much do camera image processing scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for camera image processing scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a camera image processing scientist do?

A Camera Image Processing Scientist researches, designs, and implements algorithms that enhance the quality and functionality of images captured by cameras. They work on tasks such as noise reduction, color correction, image stabilization, and computational photography features. Their expertise bridges the gap between hardware and software, ensuring that images and videos have accurate colors, clarity, and detail. These scientists often collaborate with engineers and product teams to improve camera performance in devices like smartphones, autonomous vehicles, and medical imaging systems.

What are the key skills and qualifications needed to thrive as a camera image processing scientist, and why are they important?

To thrive as a Camera Image Processing Scientist, you need a strong background in image processing algorithms, computer vision, and a relevant degree in fields like electrical engineering, computer science, or applied mathematics. Familiarity with programming languages such as Python or C++, and experience using image processing libraries like OpenCV or MATLAB, are typically required, along with knowledge of camera hardware and sensor technologies. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills set standout candidates apart in this role. These skills are essential for developing innovative imaging solutions and collaborating across multidisciplinary teams to advance camera technology.

What are common challenges faced by camera image processing scientists when developing algorithms for new camera hardware?

One of the main challenges Camera Image Processing Scientists encounter is ensuring that image processing algorithms are optimized for both image quality and processing speed, especially with the constraints of new or unique camera hardware. Since each camera sensor may have different characteristics, scientists must tailor algorithms to address specific issues like noise, color accuracy, and dynamic range. Collaboration with hardware engineers is often crucial to understand sensor limitations and to implement real-time image processing. Additionally, keeping up with rapidly evolving image sensor technology and integrating machine learning techniques can add complexity to the role.

What are popular job titles related to Camera Image Processing Scientist jobs?

For Camera Image Processing Scientist jobs, the most frequently searched job titles are:

Infographic showing various Camera Image Processing Scientist job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Image Scientist

Springfield, VA • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Freedom Technology Solutions Group is seeking an Image Scientist. The Image Scientist 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.
Responsibilities:
• 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.
• Provide expert-level consultation, problem solving, and verification for all GEOINT quality assessments, studies, and standards.
• Provide detailed recommendations and risk assessments to Government and technical leadership.
• Design, develop, evaluate, and verify the implementation of complex image processing software products, algorithms, and workflows.
• 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.
• Perform evaluation and testing on simulated and operational data.
Qualifications:
Required:
• 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
• 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.
• 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.
• 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.
Company:
FTSG was founded with the idea of building a company in which IT professionals have the 'Freedom' to be creative and innovative. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.