1

Medical Imaging Software Engineer Jobs (NOW HIRING)

Junior Software Engineer

San Diego, CA · On-site

$50K - $100K/yr

We are seeking a Junior Software Engineer to join our Ez-X medical X-ray system development team ... medical imaging software. * The position primarily focuses on GUI development (C#), C++ platform ...

... medical imaging software installation account set up. Requests accounts for information systems. • Participates in configuration of medical imaging modalities. • Works with Marketing and ...

next page

Showing results 1-20

Medical Imaging Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do medical imaging software engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for medical imaging software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are some typical challenges Medical Imaging Software Engineers face in their daily work?

Medical Imaging Software Engineers often work with large and complex datasets, requiring efficient data processing and management skills to ensure timely analysis and visualization. They must navigate strict regulatory standards for medical software, necessitating careful documentation, validation, and rigorous testing. Collaboration with radiologists and clinicians is essential to understand user needs and integrate clinical feedback into product development. Balancing technical innovation with compliance and ease of use is a common challenge but also provides opportunities to make a meaningful impact in healthcare.

What is a Medical Imaging Software Engineer job?

A Medical Imaging Software Engineer develops, optimizes, and maintains software for processing, analyzing, and visualizing medical images from modalities like MRI, CT, and ultrasound. They work with algorithms, image reconstruction techniques, and machine learning to improve diagnostic accuracy and workflow efficiency. Engineers in this field collaborate with radiologists, healthcare professionals, and regulatory teams to ensure compliance with medical standards. Their role requires expertise in programming languages such as Python, C++, or Java, alongside knowledge of medical imaging formats like DICOM.

What are the key skills and qualifications needed to thrive in the Medical Imaging Software Engineer position, and why are they important?

A Medical Imaging Software Engineer requires a solid background in computer science or software engineering, with expertise in image processing, programming languages such as C++ or Python, and a strong understanding of medical imaging modalities like MRI or CT. Familiarity with specialized tools such as DICOM, PACS, and libraries like ITK or VTK, as well as relevant certifications in healthcare technology, is highly valued. Excellent problem-solving, communication, and teamwork skills help these engineers collaborate effectively with medical professionals and multidisciplinary development teams. These skills are essential to develop high-quality, safe, and user-friendly imaging solutions that support accurate medical diagnoses and patient care.

More about Medical Imaging Software Engineer jobs
What cities are hiring for Medical Imaging Software Engineer jobs? Cities with the most Medical Imaging Software Engineer job openings:
What are the most commonly searched types of Medical Imaging Software Engineer jobs? The most popular types of Medical Imaging Software Engineer jobs are:
What states have the most Medical Imaging Software Engineer jobs? States with the most job openings for Medical Imaging Software Engineer jobs include:
Imaging Software Engineer

Imaging Software Engineer

Spearhead Staffing

Santa Monica, CA

Other

Posted 21 days ago


Job description

We are seeking an Imaging System Software Engineer for our client in Santa Monica, CA (90405). Experience with C++, Python, and imaging processing and devices are required.

The level of title will be determined case by case, based on the candidate''s qualifications and years of experience: senior engineer, staff engineer, principal engineer or higher.

The Engineer will design components and systems (hardware and software) as part of a complete product subjected to FDA regulations. Your design will be subject to safety and efficacy requirements 

Required Qualifications and Abilities:

Educational Background:
    • Bachelor''s, Master’s or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Technical Skills:
    • Programming Languages: Strong proficiency in C++ and Python is essential.
    • Image Processing: Solid experience with image processing libraries such as OpenCV, VTK, ITK, or similar.
    • Imaging Devices: Experience working with industrial cameras, high-speed optical coherence tomography (OCT), and stereo vision systems.
    • Operating Systems: Proficiency in working with Linux is required, including system-level programming and real-time performance optimization.
    • Graphics Processing: Experience with GPU programming (CUDA, OpenCL) for accelerating image processing tasks.
Experience:
    • 5+ years of hands-on experience in C++ software development with a focus on imaging systems or related fields.
    • Hands-on experience with imaging hardware (cameras, OCTs, etc.) and handling high-bandwidth image streams.
    • Proven ability to optimize software performance for image acquisition, processing, and rendering in real-time applications.
    • Experience with multithreading, multiprocessing, and low-latency communication between software components and hardware devices.
Knowledge:
    • Deep understanding of object-oriented programming (OOP) principles and design patterns.
    • Strong grasp of algorithms for image processing, including feature extraction, filtering, segmentation, and real-time analysis. Familiarity with debayering, distortion correction, contrast-limited adaptive histogram equalization (CLAHE), etc.
    • Familiarity with image compression, optimization techniques, and large-scale image data management.
    • Experience with embedded systems and hardware/software integration for imaging devices.
    • Familiarity with software and system architecture formality like UML or SysML.
    • Proficiency with tools like Git/JIRA/Confluence and platforms like GitHub.
Soft Skills:
    • Strong analytical and problem-solving abilities, particularly in optimizing system performance.
    • Good communication skills to collaborate with interdisciplinary teams, including software engineers, electrical/mechanical engineers, and product managers.
    • Detail-oriented with the ability to manage multiple priorities and meet project deadlines.
Other Requirements:
    • Comfortable working hands-on with imaging hardware in a lab or clinical environment.
    • Ability to work on-site for hands-on software-hardware integration.
 
Responsibilities:
 
Software Architecture, Design and Implementation:
    • Design, develop, and maintain C++ code for imaging systems including cameras, OCTs, and other medical imaging devices on Linux platforms.
    • Implement efficient, scalable algorithms for image processing and data analysis.
    • Develop and optimize software to ensure the real-time acquisition, processing, and visualization of image data.
System Integration:
    • Collaborate with hardware engineers to integrate software with imaging devices, ensuring seamless performance in capturing and processing high-quality images.
    • Work closely with cross-functional teams to ensure alignment between hardware and software components in the imaging pipeline.
Performance Optimization:
    • Profile, benchmark, and optimize image processing pipelines to maximize performance, ensuring low-latency, high-throughput processing on both CPU and GPU.
    • Develop strategies for efficiently handling large image datasets, balancing performance with memory and storage constraints.
Testing & Reliability:
    • Design and implement automated tests to ensure the stability and reliability of image processing software.
    • Debug complex issues related to hardware-software interfaces, and provide innovative solutions to technical challenges.
    • Ensure reliability and robustness of software through automated testing and performance monitoring.
Research & Development:
    • Stay up to date with the latest trends and techniques in imaging technologies and software optimization.
    • Prototype and evaluate new algorithms and technologies to improve the performance and accuracy of our imaging systems.
Please note: This position is not open to 3rd party c2c agencies. No have permanent US work authorization and not require sponsorship now or in the future.