Senior SW Engineer

Wuxi - China

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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. Bachelors Degree with 3 years experiences or Master Degree with 2 years experiences or Doctors 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: OnnxruntimeTensor 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 youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

Required Experience:

Senior IC

Job Description SummaryThis 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...