ZipRecruiter

Log In

1

Medical Image Processing Engineer Jobs in California

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

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 ...

next page

Showing results 1-20

All JobsMedical Image Processing Engineer JobsMedical Image Processing Engineer Jobs in California

Medical Image Processing Engineer information

See California salary details

$5

$61

$88

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

As of Jul 5, 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 June 2026, with employment types broken down into 63% Full Time, 15% Part Time, 2% Temporary, and 20% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $128,466 per year, or $61.8 per hour.
Image Processing Engineer

Image Processing Engineer

Google

Mountain View, CA • On-site

Full-time

Posted 7 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

38th of 202 rated software companies

Job description

Job Summary:
Google is a leading technology company that develops various computing software platforms and devices. 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 tuning and testing.
Responsibilities:
• Optimize image quality across the hardware and software stack, ensuring hardware capabilities are leveraged through software tuning.
• Fine-tune 3A algorithms to ensure performance across lighting and environmental conditions.
• Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows.
Qualifications:
Required:
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., optics, sensors, audio, or DSP), or equivalent practical experience.
• 2 years of experience working in an image quality, computer vision, or related technical environment.
• Experience with Python and C++ for algorithm development and implementation.
Preferred:
• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., optics, sensors, audio, or DSP).
• Experience with emerging technologies and new technical domains.
• Ability to solve multi-layered technical problems on their own with a high degree of motivation.
• Excellent written and verbal communication skills, with a demonstrated ability to translate technical concepts into clear, actionable insights for cross-functional partners.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply