Job Description Summary

This role is responsible for end-to-end AI algorithm integration, model conversion, quantization, and performance optimization for medical ultrasound systems. He/She will build efficient inference pipelines, collaborate with cross-functional teams, and enable reliable AI deployment on clinical imaging platforms.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

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Job Description

Job Responsibilities

1. Responsible for the deployment, inference acceleration, and integration of deep learning models for medical ultrasound images and video, including detection, segmentation, measurement, and classification algorithms.

2. Optimize AI models for ultrasound applications, including model quantization, pruning, conversion, and low-latency inference engine construction.

3. Integrate AI algorithms into ultrasound imaging equipment or clinical workstations… and ensure real-time performance and stability.

4. Collaborate with algorithm engineers, software engineers, and clinical ultrasound teams to define integration requirements and solve technical issues during productization.

5. Develop and maintain inference frameworks and deployment pipelines for medical ultrasound AI, supporting continuous iteration of multiple AI modules.

6. Support product certification, testing, and technical documentation preparation for regulatory submissions.

 

Qualifications/Requirements:

1. Bachelor's Degree with 3+ years’ experiences or Master Degree with 2+ years’ experiences or Doctor’s Degree major in Computer Science, Biomedical Engineering, Electronic Engineering or related fields.

2. Solid background in computer vision, computer graphics and Image processing.

3. Proficient in Python and C/C++ programming; solid foundation in software development and debugging.

4. Experience in computer vision related CNN: classification, detection, segmentation, etc.

5. Experience in inference engines: Onnxruntime,Tensor RT, OpenVino, etc.

6. Familiar with deep learning model conversion, optimization, quantization, and acceleration for GPU/embedded platforms.

7. Good logical thinking, problem-solving skills, teamwork, and communication skills.

 

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.