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Image Processing Jobs (NOW HIRING)

Google

Image Processing Engineer

Mountain View, CA · On-site

They are seeking an Image Processing Engineer to optimize image quality across hardware and software, fine-tune algorithms, and build software tools utilizing machine learning for image quality ...

Google

Image Processing Engineer

Mountain View, CA · On-site

Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows. Information collected and processed as part ...

InterImage

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

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How much do image processing jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for image processing in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

What are the typical daily tasks of an Image Processing specialist?

An Image Processing specialist typically spends their day developing and optimizing algorithms for tasks such as image enhancement, feature extraction, segmentation, and object recognition. You may work closely with a multidisciplinary team that includes software engineers, data scientists, and domain experts to integrate your solutions into larger systems or products. Daily responsibilities often involve coding, testing, validating results, and documenting methodologies, as well as troubleshooting performance issues. Collaboration and frequent feedback sessions are common, as many projects are iterative and benefit from collective expertise. This role offers a dynamic and intellectually stimulating work environment with the potential for impactful innovation.

What is an Image Processing job?

An Image Processing job involves analyzing, enhancing, and manipulating digital images using algorithms and software. Professionals in this field work with techniques such as filtering, feature extraction, and pattern recognition to improve image quality or extract useful information. They often use programming languages like Python and libraries such as OpenCV or MATLAB to develop solutions for applications in medical imaging, computer vision, and automation.

What are the key skills and qualifications needed to thrive in the Image Processing position, and why are they important?

To thrive in Image Processing, you need a solid background in computer vision, signal processing, mathematics, and often a relevant degree in computer science, engineering, or a related field. Proficiency with programming languages such as Python or MATLAB, experience with libraries like OpenCV, and familiarity with machine learning frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help set professionals apart. These competencies are crucial for developing, implementing, and refining algorithms that extract, analyze, and interpret information from visual data in various industries.

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What cities are hiring for Image Processing jobs? Cities with the most Image Processing job openings:
What are the most commonly searched types of Image Processing jobs? The most popular types of Image Processing jobs are:
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Image Processing jobs near you
Infographic showing various Image Processing job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 17% Part Time, 3% Temporary, 10% Contract, and 3% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.
Image Processing SME

Image Processing SME

InterImage

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

We are seeking a highly skilled Image Processing Subject Matter Expert (SME) to support the development of advanced imaging and signal processing solutions within a cutting-edge FPGA engineering environment. The ideal candidate will possess deep expertise in scientific and computational imaging, image correction algorithms, machine vision, and automated image analysis. This role will work closely with FPGA, software, hardware, and algorithm development teams to design and optimize image processing pipelines for high-performance, mission-critical applications.
The successful candidate will contribute to the development of advanced imaging solutions involving microscopy, scientific sensors, electro-optical systems, and other high-resolution imaging platforms. This position offers the opportunity to solve complex imaging challenges while supporting innovative technologies for government, research, and commercial applications.
Responsibilities
  • Analyze and develop image correction algorithms to compensate for optical aberrations, lensing defects, sensor non-linearity, geometric distortions, illumination inconsistencies, and other imaging artifacts.
  • Design, evaluate, and optimize advanced image processing pipelines for scientific and high-resolution imaging systems.
  • Develop algorithms for object detection, feature extraction, segmentation, classification, and pattern recognition within large image datasets.
  • Create and optimize image stitching, registration, and mosaic generation techniques for microscopy and scientific imaging applications.
  • Implement image preprocessing methods including noise reduction, deconvolution, contrast enhancement, normalization, filtering, and edge detection.
  • Collaborate with FPGA engineers to transition computational imaging algorithms into hardware-accelerated implementations.
  • Evaluate algorithm performance, accuracy, throughput, and resource utilization for real-time and near-real-time processing applications.
  • Develop and validate machine learning and computer vision models for automated image analysis workflows.
  • Support integration, testing, verification, and validation of imaging systems and processing pipelines.
  • Work with multidisciplinary teams including FPGA developers, software engineers, optical engineers, data scientists, and system architects.
  • Document technical designs, algorithm performance analyses, validation results, and implementation approaches.
  • Provide technical leadership and subject matter expertise on imaging science, computational photography, and machine vision technologies.

Requirements
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, Imaging Science, or a related technical discipline.
  • 8+ years of experience developing advanced image processing, computer vision, or computational imaging solutions.
  • Strong understanding of image formation, optics, sensor technologies, and imaging system performance characteristics.
  • Demonstrated experience correcting scientific image data affected by aberrations, lens distortion, optical anomalies, non-uniform illumination, and sensor artifacts.
  • Expertise in object detection, feature extraction, image segmentation, and pattern recognition algorithms.
  • Experience developing image registration, alignment, and stitching solutions for large-scale image mosaics.
  • Strong knowledge of image preprocessing techniques and enhancement methodologies.
  • Experience handling large, high-resolution image datasets while optimizing performance and computational efficiency.
  • Proficiency in Python, C++, MATLAB, or similar algorithm development environments.
  • Ability to communicate complex technical concepts effectively across engineering disciplines.
Desired Qualifications
  • Experience supporting FPGA-based image processing architectures and hardware acceleration initiatives.
  • Knowledge of GPU computing, parallel processing, and high-performance computing techniques.
  • Experience developing machine learning models for image classification, detection, segmentation, and anomaly detection.
  • Familiarity with hyperspectral, multispectral, electro-optical, infrared, or scientific imaging systems.
  • Experience working with microscopy imagery, laboratory imaging systems, or advanced scientific instrumentation.
  • Knowledge of computer vision model deployment for real-time processing environments.
  • Experience supporting government agencies, research laboratories, federally funded research organizations, or commercial entities focused on imagery exploitation and analysis.
  • Familiarity with imaging standards, calibration methodologies, and quantitative image quality assessment.
  • Experience utilizing image processing libraries such as OpenCV, SciPy, NumPy, scikit-image, TensorFlow, PyTorch, or equivalent frameworks.

Education:
  • The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or Mathematics.

Requirements:
  • TS/SCI Full Scope Poly required

Benefits
  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available

InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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