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Medical Image Processing Engineer Jobs in California

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Medical Image Processing Engineer information

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$61

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

As of Aug 17, 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 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 the key skills and qualifications needed to thrive as a medical image processing engineer?

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 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 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 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:

Infographic showing various Medical Image Processing Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $128,466 per year, or $61.8 per hour.

Embedded Software Engineer (Image Processing Algorithms)

Impulse Space

Redondo Beach, CA • On-site

$130K - $280K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 12 days ago


Job description

Embedded Software Engineer (Image Processing Algorithms)
Department: Software
Employment Type: Full Time
Location: Redondo Beach
Compensation: $130,000 - $280,000 / year
Description
As an Embedded Software Engineer for Image Processing Algorithms at Impulse, your primary responsibility will be to design, implement, validate, and maintain onboard image processing software for spacecraft systems. You will work at the intersection of embedded software, imaging sensors, numerical algorithms, estimation, and guidance, navigation, and control systems. You will collaborate closely with avionics, flight software, GNC, test, and mission operations teams to deliver reliable image processing software capable of operating on microcontroller-class hardware in demanding space environments.
Responsibilities
  • Develop onboard computer vision algorithms for image preprocessing, thresholding, filtering, centroiding, feature extraction, target detection, target tracking, optical navigation, star detection, and attitude or pose estimation support.
  • Support image conditioning techniques such as calibration, distortion correction, dark-frame correction, thresholding, exposure control, filtering, and image normalization.
  • Work with GNC, flight software, and mission teams to define algorithm performance requirements, including accuracy, latency, update rate, robustness, fault tolerance, and compute/resource constraints.
  • Develop test tools, simulation environments, and analysis scripts to evaluate algorithm performance using synthetic imagery, lab imagery, ground test data, and flight-like datasets.
  • Debug and tune vision software during sensor bring-up, ground testing, environmental testing, and in-flight operations.
  • Contribute to fault detection, robustness, and recovery logic for cases such as poor lighting, stray light, saturation, blur, dropped frames, hot pixels, occlusions, image noise, and unexpected scene content.
  • Design algorithms and data pipelines that operate within constrained CPU, memory, storage, bandwidth, timing, and power budgets.

Minimum Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field.
  • 2+ years of experience writing C++ code for embedded systems, preferably in imaging or robotic applications.
  • Experience implementing image processing, estimation, numerical, or signal processing algorithms.
  • Experience with bare-metal or RTOS-based software development.

Preferred Skills and Experience
  • Ability to work closely with hardware, flight software, GNC, and test teams to diagnose issues across software, sensors, timing, image quality, and system interfaces.
  • Experience optimizing software for runtime, memory usage, deterministic execution, and numerical stability.
  • Familiarity with low-level hardware interfaces such as SPI, I2C, UART, GPIO, timers, ADCs, DMA, and camera or image sensor interfaces.
  • Strong understanding of linear algebra, coordinate frames, rotations, quaternions, camera models, or geometric vision concepts.
  • Experience debugging embedded systems using oscilloscopes, logic analyzers, hardware debuggers, source-level debuggers, logs, and telemetry.
  • Hands-on experience developing or testing computer vision, optical navigation, star tracker, pose estimation, target tracking, inspection, or perception algorithms on microcontroller-class hardware.

Additional Information:
Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.
Impulse Space's spacecraft manufacturing business is subject to U.S. export regulations including the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). This position requires applicants to be either U.S. Persons (i.e., U.S. citizen, U.S. national, lawful permanent U.S. resident (), an individual granted asylum in the U.S., or an individual admitted in U.S. refugee status) or persons eligible to obtain an export license from the U.S. Departments of State, Commerce, or other applicable U.S. government agencies. Learn more about the ITAR here.
Impulse Space is an Equal Opportunity Employer; employment with Impulse Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.