ZipRecruiter

Log In

1

Medical Image Processing Engineer Jobs in California

Apple

Machine Learning Video Process Engineer

Cupertino, CA

$129K - $225K/yr

  • Medical

  • Dental

  • Retirement

Background in digital signal and image processing Publication record in top-tier conferences (e.g ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

  • Medical

  • Dental

  • Vision

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

  • Medical

  • Dental

  • Vision

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

Apple

Camera Tuning & Image Quality Engineer

Bodega Bay, CA

$118K - $207K/yr

  • Medical

  • Dental

  • Retirement

The ideal candidate will have a robust understanding of various image processing algorithms, new ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

previous page

Showing results 41-60

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 Aug 18, 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:

Medical Image Processing Engineer jobs near you
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.

Liao Lab - Junior/Assistant/Associate/Full Specialist

University of California, San Francisco

San Francisco, CA • On-site

Full-time

Posted 26 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities

Job description

Application Window
Open date: July 23, 2026
Most recent review date: Friday, Aug 7, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Sunday, Jan 23, 2028 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Liao Lab - Junior/Assistant/Associate/Full Specialist
The Liao Lab is seeking a Junior, Assistant, Associate, or Full Specialist to support research in advanced magnetic resonance imaging (MRI), with a focus on structural, quantitative, and diffusion MRI.
The Specialist will contribute to MRI research projects involving image reconstruction, image processing, quantitative analysis, and data management. Responsibilities will include processing and analyzing MRI data; implementing and maintaining image analysis pipelines; performing quality control; organizing and documenting research data and results; assisting with technical development and validation of MRI methods; and contributing to the preparation of figures, presentations, abstracts, and manuscripts.
The Specialist will work closely with the principal investigator, postdoctoral scholars, graduate students, research staff, and clinical or engineering collaborators. The position may also involve coordinating data analysis across collaborative research projects and supporting the development of reproducible research workflows.
Required Qualifications:
  • Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) in biomedical engineering, electrical engineering, computer science, medical imaging, neuroscience, applied mathematics, physics, or a closely related field, or at least four years of research experience.
  • Specialists appointed at the Assistant rank must possess a master's degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with three or more years of research experience.
  • Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of research experience.
  • Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
  • Applicants must meet all the qualifications by the time of hire.
  • Applicant materials must list current and/or pending qualifications upon submission.

Preferred Qualifications:
  • Prior experience with medical image processing, quantitative data analysis, or scientific computing.
  • Prior experience contributing to research presentations, abstracts, manuscripts, or other scholarly products.
  • Programming experience in MATLAB, Python, or a comparable scientific programming language.
  • Experience with MRI data, including structural MRI, quantitative MRI, diffusion MRI, or related neuroimaging data.
  • Familiarity with commonly used neuroimaging or medical image analysis software, such as FSL, FreeSurfer or similar tools.
  • Experience developing reproducible image-processing or data-analysis pipelines.
  • Experience with Linux-based computing environments, high-performance computing systems, version control, or large imaging datasets.
  • Familiarity with MRI physics, image reconstruction, statistical analysis, or machine-learning methods.
  • Ability to work independently and collaboratively within a multidisciplinary research environment.
  • Strong organizational, analytical, communication, and documentation skills.
  • Independent specialized research.

See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000-$201,700.
Please click here to apply with cover letter, CV, and statement of research.
Application Requirements
Document requirements
  • Cover Letter
  • Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
  • Statement of Research

About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California 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, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
San Francisco, CA

What University Of California San Francisco employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply