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Medical Image Processing Engineer Jobs (NOW HIRING)

DeepSight Technology

Image Analysis Engineer

Seattle, WA · On-site

$160K - $250K/yr

S. in Electrical/Biomedical Engineering • 7+ years industry experience in medical imaging product development • Expertise in ultrasound physics and system design, signal and image processing ...

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Medical Image Processing Engineer information

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$5

$62

$89

How much do medical image processing engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for medical image processing engineer 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 some common challenges faced by Medical Image Processing Engineers when working with diverse imaging modalities?

Medical Image Processing Engineers often need to adapt algorithms and workflows to handle differences in data quality, resolution, and artifacts across modalities such as MRI, CT, and ultrasound. Managing large datasets and ensuring interoperability between imaging systems can also present technical hurdles. Additionally, maintaining compliance with healthcare regulations and ensuring patient data privacy adds complexity to their daily tasks. Collaboration with clinicians and radiologists is vital to accurately interpret results and validate software tools in real clinical settings.

What are the key skills and qualifications needed to thrive as a Medical Image Processing Engineer, and why are they important?

A Medical Image Processing Engineer should have a solid background in computer science, biomedical engineering, or a related field, with expertise in image analysis, machine learning, and signal processing. Familiarity with programming languages such as Python or C++, and experience with medical imaging software (e.g., MATLAB, ITK, or 3D Slicer), as well as relevant certifications, are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and translating clinical needs into technical solutions. These competencies are essential for developing accurate, efficient imaging solutions that support diagnosis, treatment, and research in healthcare.

What is the difference between Medical Image Processing Engineer vs Medical Software Developer?

AspectMedical Image Processing EngineerMedical Software Developer
Required CredentialsBachelor's or Master's in Biomedical Engineering, Computer Science, or related fields; knowledge of image processing and medical imaging standardsBachelor's or Master's in Software Engineering, Computer Science; programming skills; understanding of medical software regulations
Work EnvironmentHospitals, research labs, medical device companies, R&D departmentsHealthcare IT firms, medical device companies, hospitals, software development firms
Employer & Industry UsageDevelops algorithms for medical images like MRI, CT; focuses on image enhancement, segmentationCreates medical applications, electronic health records, clinical software solutions

The Medical Image Processing Engineer specializes in developing algorithms and software for analyzing and enhancing medical images, often working with imaging modalities like MRI and CT. In contrast, the Medical Software Developer designs broader healthcare applications, including electronic health records and clinical management systems. Both roles require programming skills and familiarity with medical standards but focus on different aspects of medical technology.

What does a Medical Image Processing Engineer do?

A Medical Image Processing Engineer develops and implements algorithms and software for analyzing medical images such as X-rays, MRIs, CT scans, and ultrasounds. Their work helps improve image quality, automate diagnosis, and assist healthcare professionals in interpreting medical data. They collaborate with radiologists, biomedical engineers, and software developers to create tools that enhance patient care and medical research. This role requires expertise in image processing, machine learning, and knowledge of medical imaging technologies.
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Medical Image Processing Engineer jobs near you
Infographic showing various Medical Image Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 95% In-person, and 5% 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 26 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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