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Medical Image Processing Engineer Jobs in California

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

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 ...

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

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 ...

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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 Jun 14, 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:
Infographic showing various Medical Image Processing Engineer job openings in California as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $128,466 per year, or $61.8 per hour.
Signal Processing Engineer, Space

Signal Processing Engineer, Space

Anduril Industries

Costa Mesa, CA • On-site

Other

Posted 23 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Signal Processing Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for developing discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU'LL DO
  • Develop discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
  • Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
  • Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
  • Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
  • Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
  • Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
  • Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
  • Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance
REQUIRED QUALIFICATIONS
  • Currently possesses and is able to maintain an active U.S. Secret security clearance
  • Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
  • 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
  • Strong understanding of EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
  • Experience with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
  • Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
  • Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
  • Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems
PREFERRED QUALIFICATIONS
  • Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
  • Experience with space or missile defense systems, threat discrimination, or intercept systems
  • Experience developing advanced decision logic or adaptive algorithms for classification workflows
  • Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
  • Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
  • Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
  • Experience with radar systems, RF signal processing, or multi-modal sensor fusion
  • Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
  • Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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