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Computer Vision Image Processing Jobs (NOW HIRING)

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 ...

The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As ...

The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As ...

... image processing, denoising, segmentation and metrology. * - Research, develop and employ machine learning algorithms for solving difficult and exciting challenges. * - Engineer solutions for quality ...

Experience with computer vision, image processing, classification, segmentation, and digital pathology analytics. * Hands‑on experience with Whole Slide Image (WSI) analysis. * Expertise with deep ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA , where ...

>" /> Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA , where ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA , where ...

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Computer Vision Image Processing information

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How much do computer vision image processing jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for computer vision image processing in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.32 per hour, depending on experience, location, and employer.

What is computer vision image processing?

Computer vision image processing is a field of computer science that focuses on enabling computers to interpret and analyze visual information from the world, such as images and videos. It involves applying algorithms and techniques to process, enhance, and extract meaningful information from digital images. Common applications include object detection, facial recognition, image classification, and medical image analysis. The goal is to automate tasks that the human visual system can perform, making it possible for machines to 'see' and understand visual data.

What are the key skills and qualifications needed to thrive as a computer vision image processing specialist?

To thrive as a Computer Vision Image Processing Specialist, you need strong foundations in mathematics, programming (especially Python or C++), and a relevant degree in computer science, engineering, or a related field. Familiarity with technical tools like OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and frameworks are crucial, as are certifications in machine learning or deep learning. Analytical thinking, creativity, and effective problem-solving help individuals excel in developing and optimizing complex visual algorithms. These skills are essential for accurately interpreting visual data, driving innovation, and delivering robust solutions across various industries.

What are some typical challenges faced by professionals in computer vision image processing roles, and how can they be addressed?

Professionals in Computer Vision Image Processing often encounter challenges such as dealing with noisy or incomplete data, ensuring real-time performance, and adapting models to work across diverse environments and lighting conditions. Addressing these challenges typically involves using data augmentation techniques, optimizing algorithms for efficiency, and leveraging transfer learning to improve model robustness. Collaboration with cross-functional teams, such as hardware engineers and software developers, is also vital to ensure solutions are both accurate and deployable in real-world applications.

What is the difference between Computer Vision Image Processing vs Image Analysis Specialist?

AspectComputer Vision Image ProcessingImage Analysis Specialist
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; knowledge of programming and algorithmsBachelor's or higher in Data Science, Computer Science, or related fields; expertise in image data interpretation
Work EnvironmentResearch labs, tech companies, manufacturing, healthcareResearch institutions, tech firms, healthcare, security
Industry UsageDeveloping algorithms for object detection, recognition, and image enhancementInterpreting image data for insights, diagnostics, or decision-making

Computer Vision Image Processing focuses on developing algorithms to manipulate and analyze images, while Image Analysis Specialists interpret image data to extract meaningful insights. Both roles require similar educational backgrounds and often work in overlapping industries, but their core objectives differ: processing versus analysis.

More about Computer Vision Image Processing jobs

What cities are hiring for Computer Vision Image Processing jobs?

Cities with the most Computer Vision Image Processing job openings:

Infographic showing various Computer Vision Image Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $43,372 per year, or $20.9 per hour.

Image Processing Engineer III

Quantum Space

Rockville, MD • On-site

$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.