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Medical Imaging Ai Engineer Jobs (NOW HIRING)

Perimeter Medical Imaging AI

Product Manager

Dallas, TX · On-site

... Medical Imaging AI is a medical technology company transforming cancer surgery with ultra-high ... Work with Commercial, Engineering, Clinical and Quality to refine Perimeter's Voice of Customer ...

Perimeter Medical Imaging AI

Product Manager

Dallas, TX · On-site

... Medical Imaging AI is a medical technology company transforming cancer surgery with ultra-high ... Work with Commercial, Engineering, Clinical and Quality to refine Perimeter's Voice of Customer ...

Perimeter Medical Imaging AI

Product Manager

Dallas, TX · On-site

... Medical Imaging AI is a medical technology company transforming cancer surgery with ultra-high ... Work with Commercial, Engineering, Clinical and Quality to refine Perimeter's Voice of Customer ...

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Medical Imaging Ai Engineer information

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$31.5K

$74.6K

$109K

How much do medical imaging ai engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for medical imaging ai engineer in the United States is $74,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $83,500.00 per year, depending on experience, location, and employer.

What does a medical imaging AI engineer do?

A Medical Imaging AI Engineer develops and applies artificial intelligence and machine learning algorithms to analyze medical images such as X-rays, CT scans, and MRIs. They work with large datasets to create models that help detect diseases, assist in diagnosis, and improve clinical workflow. Their role often involves collaborating with radiologists, data scientists, and software engineers to ensure that the AI solutions are accurate, reliable, and compliant with healthcare regulations.

What are some common challenges faced by medical imaging AI engineers when integrating AI models into clinical workflows?

Medical Imaging AI Engineers often face challenges related to data privacy, interoperability with existing hospital systems, and ensuring model robustness across diverse patient populations. Integrating AI models requires close collaboration with clinicians and IT staff to understand workflow needs and address concerns about reliability and usability. Additionally, engineers must regularly validate and update models to maintain accuracy as new imaging modalities or protocols are introduced.

What are the key skills and qualifications needed to thrive as a medical imaging AI engineer, and why are they important?

To thrive as a Medical Imaging AI Engineer, you need a solid background in computer science, machine learning, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field). Expertise with frameworks like TensorFlow or PyTorch, experience with image processing tools, and familiarity with DICOM standards and medical imaging modalities are typically required. Strong problem-solving, teamwork, and effective communication skills are crucial for collaborating with clinicians and translating technical solutions into real-world healthcare impact. These skills ensure the development of accurate, reliable AI models that improve diagnostic capabilities and patient outcomes in medical environments.

What is the difference between Medical Imaging Ai Engineer vs Medical Imaging Technician?

AspectMedical Imaging Ai EngineerMedical Imaging Technician
Required CredentialsDegree in computer science, biomedical engineering, or related field; knowledge of AI and machine learningCertification or associate degree in radiologic technology or imaging sciences
Work EnvironmentResearch labs, healthcare tech companies, hospitals involved in AI developmentHospitals, clinics, diagnostic imaging centers
Employer & Industry UsageTech companies, research institutions, hospitals integrating AI solutionsHealthcare facilities performing imaging procedures
Common Search & Comparison IntentUnderstanding AI-focused roles in medical imagingTechnical roles performing imaging procedures

The Medical Imaging Ai Engineer focuses on developing and implementing AI algorithms for medical imaging, often working in research or tech environments. In contrast, the Medical Imaging Technician operates imaging equipment directly in clinical settings. Both roles are essential in healthcare but differ significantly in responsibilities, skills, and work settings.

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What are popular job titles related to Medical Imaging Ai Engineer jobs?

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Medical Imaging Ai Engineer jobs near you
Infographic showing various Medical Imaging Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $74,576 per year, or $35.9 per hour.

Software Manager, Imaging and AI

Santa Clara, CA • On-site

DeepSight Technology
Medical Equipment and Supplies Manufacturing • 11 - 50 employees
Learn more about DeepSight Technologyexternal

$180K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Job description

We are looking for an engineering leader with a strong background in medical imaging, AI, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform. As the Software Manager for the Imaging and AI team, you will lead a team developing and optimizing algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system.
As a Software Manager for Imaging and AI, your responsibilities are:
  • Team Management and Mentorship: Manage a team of individual contributors and cultivate a high-performing team
  • Strategic Planning: Work closely with product and project management teams to define software deliverables, set timelines, and prioritize tasks in alignment with the company's goals for the ultrasound imaging platform.
  • Technical Implementation: Maintain hands-on involvement by reviewing and contributing to the implementation of critical algorithms using C++ and CUDA, serving as a technical resource and problem solver for the team.
  • Guide Advanced Algorithm Development: Oversee the research and development of advanced algorithms and image processing techniques to enhance spatial resolution and image quality in ultrasound imaging, providing technical mentorship to team members.
  • Foster AI and Machine Learning Integration: Champion the exploration and implementation of machine learning and AI techniques to enhance image analysis, automate diagnostic workflows, and assist clinicians with interpretation tasks.
  • Facilitate Systems Integration: Collaborate with systems and hardware engineers to ensure seamless integration of software and hardware components for optimized data acquisition, processing, and display.
  • Ensure Compliance and Quality Standards: Ensure the team adheres to relevant regulatory and quality standards (e.g., ISO 13485, IEC 62304), integrating robust verification and validation practices into the development lifecycle.

Required Qualifications:
  • BS in an engineering or computer science field
  • Familiarity in signal and image processing and algorithm development in medical imaging
  • Strong background in object-oriented programming, software architecture, and design patterns
  • Proficiency with C++ programming
  • Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL)
  • Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing
  • Proven ability to lead and manage technical teams in designing, implementing, and optimizing algorithms for imaging applications.
  • Adept at collaborating with cross-functional teams, including hardware, systems, and clinical stakeholders.
  • Passionate about medical devices, with excellent communication and teamwork skills

Preferred Qualifications:
  • PhD in Electrical/Biomedical engineering with a dissertation topic related to medical imaging
  • Knowledge of ultrasound physics, beamforming, simulation and algorithm development
  • 8 or more years of experience in commercial software development
  • Experience in medical imaging product development (FDA regulated)
  • Experience with real-time software applications
  • Experience interfacing with hardware components and systems
  • Familiarity with healthcare standards, including DICOM, HL7, and integration with PACS systems
  • Knowledge of AI/ML techniques applied to medical imaging, including model training, validation, and deployment in clinical workflows

Other Qualities We Are Looking For
  • Positive - a can-do attitude that helps you rise to challenges
  • Collaborative - a team player who can effectively communicate with others
  • Attentive to detail - nothing gets by you
  • Efficient - a knack for effectively prioritizing tasks and managing your time
  • Pride in your work - real desire to do quality work
  • Career-minded - looking for more than a job
  • Empathy - a mindset of producing quality products that help people

Benefits and Perks
  • We offer great benefits and perks:
  • Competitive salary
  • Stock options
  • Medical, dental, and vision insurance
  • 401(k) retirement plan

Apply