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Medical Image Processing Engineer Jobs in Texas (NOW HIRING)

Komatsu

R&D Engineer

Dallas, TX · On-site

R&D Engineer Posting Start Date: 7/10/26 Job Location (Short): Dallas, Texas, USA, 75229 ... Write, review, debug, and maintain code for data collection, analysis, image processing, and ...

Komatsu

R&D Engineer

Dallas, TX · On-site

Apply now R&D Engineer Posting Start Date: 7/10/26 Job Location (Short): Dallas, Texas, USA, 75229 ... Write, review, debug, and maintain code for data collection, analysis, image processing, and ...

Raytheon

Algorithm Senior Systems Engineer

Plano, TX

$100K - $136K/yr

Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory, or ... Hired applicants may be eligible for benefits, including but not limited to, medical, dental ...

Raytheon

Senior Algorithm Systems Engineer

Plano, TX

$100K - $136K/yr

Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or ... Hired applicants may be eligible for benefits, including but not limited to, medical, dental ...

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Medical Image Processing Engineer information

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?

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 Texas? For Medical Image Processing Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Medical Image Processing Engineer jobs in Texas look for? The top searched job categories for Medical Image Processing Engineer jobs in Texas are:
Medical Image Processing Engineer jobs near you
Infographic showing various Medical Image Processing Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Computer Programmer II (Hybrid) Neurosurgery - Galveston

UTMB Health

Galveston, TX • Hybrid

$48K - $60K/yr

Full-time

Re-posted 17 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

266th of 887 rated healthcare providers

Job description

Minimum Qualifications:

  • Associate's degree or equivalent in related field and one year related experience.

Preferred Qualifications

  • Bachelor’s or Master’s degree in Computer Engineering, Computer Science,Electrical Engineering, or related field.
  • Proficiency in Python required; strong experience in libraries such as NumPy,OpenCV, scikit-learn, TensorFlow, or PyTorch.
  • Experience interfacing with optical and electronic components (e.g., cameras,LEDs, filter wheels, motion stages, serial/USB communication).
  • Working knowledge of image processing and signal analysis.
  • Demonstrated ability to design, test, and document engineering systems in a collaborative environment.
  • Experience with real-time image acquisition and GPU acceleration (CUDA orOpenCL).
  • Familiarity with biomedical or scientific imaging systems.
  • Experience with machine learning or AI-driven image analysis.

Job Description:

To provide technical skills in the preparation and use of programs for the solution of problems by electronic computers. Join a multidisciplinary team developing next-generation optical imaging systems for neurosurgery. This position will focus on designing and optimizing software to control and integrate optical components (LEDs, cameras, filters, motion systems), while developing robust pipelines for real-time data acquisition, visualization, and analysis. A central objective is to leverage the data generated from these systems to build and train machine learning and AI algorithms for improved image-based detection and classification using advanced image processing techniques. The work directly supports translational technology development—taking innovations from bench to bedside to improve visualization and precision during brain tumor surgery.

Essential Duties 

  • Develop and maintain Python-based control software for optical subsystems (LED drivers, cameras, filters, motorized stages, DAQs, etc.).
  • Design and implement real-time data acquisition and visualization pipelines for fluorescence, spectral, and photoacoustic imaging.
  • Build and evaluate machine learning models (e.g., classification, segmentation, regression) for improved detection and image analysis.
  • Collaborate with optical engineers, neuroscientists, and clinicians to integrate software with hardware systems and perform benchtop and intraoperative validation.
  • Translate research-grade prototypes into clinically deployable systems

  • Maintain organized documentation, version control (Git), and contribute to shared multi-site data workflows.
     

    Working Conditions Hybrid lab/office environment; occasional off-hours support for experiments or intraoperative imaging sessions
     

Salary Range:
Commensurate with experience  $48,000-$60,000
 

Equal Employment Opportunity

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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