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Medical Image Processing Engineer Jobs in California

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Image Processing Engineer

Mountain View, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a ... Optimize image quality across the hardware and software stack, ensuring hardware capabilities are ...

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Medical Image Processing Engineer information

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$5

$61

$88

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

As of Jul 27, 2026, the average hourly pay for medical image processing engineer in California is $61.76, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $65.96 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.
What are popular job titles related to Medical Image Processing Engineer jobs in California? For Medical Image Processing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Image Processing Engineer jobs in California look for? The top searched job categories for Medical Image Processing Engineer jobs in California are:
Medical Image Processing Engineer jobs near you
Infographic showing various Medical Image Processing Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,466 per year, or $61.8 per hour.

Image Processing Engineer IV

Karl Storz GmbH & Co. KG

Goleta, CA

Other

Medical, Vision

Posted 29 days ago

Job description

At KARL STORZ, we're dedicated to advancing medical technology and improving patient care. We're seeking a talented Senior Image Processing Engineer to join our team and play a key role in developing cutting-edge camera image processing solutions for medical devices.

 

About the Role

As a Senior Image Processing Engineer, you'll design, analyze, and implement advanced image and video processing methods for our camera products. You will utilize the latest technologies, including in Image Processing, Digital Signal Processing and Artificial Intelligence. You'll lead the development of innovative solutions, collaborate with cross-functional teams, and mentor junior engineers. Your expertise will directly impact the quality of medical imaging and patient care.

 

Key Responsibilities

  • Develop and implement image processing algorithms for camera systems
  • Perform system modeling, signal analysis, and characterization of imaging sensors
  • Develop and implement new features using classical DSP methods and/or Machine Learning models.
  • Design and verify FPGA-based modules using MATLAB-Simulink and/or GPU-based modules using CUDA and other tools.
  • Collaborate with project teams to define IP design architecture and ensure product quality
  • Provide technical leadership and mentorship to junior engineers
  • Support existing product lines and perform competitive evaluations

 

Requirements

  • Bachelor's degree in Electrical Engineering (Signal Processing emphasis) or equivalent
  • 10-12 years of experience in image processing or related field
  • Strong knowledge of medical device quality system regulations and standards
  • Experience with real-time algorithm development using MATLAB-Simulink, FPGA and/or GPU design tools.
  • Excellent communication and leadership skills

 

Nice to Have

  • Master's or Ph.D. in Image Processing or Digital Signal Processing
  • Experience with C, C++, CUDA, OpenCL, OpenGL, or OpenCV
  • Familiarity with endoscopy and digital system design

 

What You'll Need to Succeed

  • Visual acuity sufficient for testing
  • Ability to sit for extended periods and lift video equipment (approx. 20 lbs.)
  • Annual training in safety, regulatory compliance, and job-specific requirements

What We Offer

  • Opportunity to work on cutting-edge medical technology
  • Collaborative and dynamic work environment
  • Professional growth and development opportunities
  • Competitive compensation and benefits package

Who We Are:

KARL STORZ is an independent, family-owned company headquartered in Germany's renowned MedTech manufacturing region. For 80 years, we've pioneered the most groundbreaking innovations in endoscopic surgery, video imaging, and OR integration to benefit patients and healthcare providers alike. 

With more than 9,000 associates worldwide and 2,600 in the US, we pride ourselves on harnessing cutting-edge technology, precise workmanship, and unrivaled customer support to help healthcare facilities succeed. With onsite locations and field opportunities across the country, we attract a diverse and talented staff.  It's not just about the tools we create-it's about the lives we change, together.

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