Software Engineer – AI Development

Job Description

Job Description SummaryAs a Software Engineer in GE HealthCare, you will play a critical role in defining, developing, and evolving software for Medical Ultrasound products in a fast-paced, agile development environment, utilizing the latest software development technologies and infrastructure, specifically working with our General Imaging Primary Care Ultrasound Teams to support AI Feature Development and support New Product Introduction activities. We are an industry leader in medical ultrasound in the market, and you will be contributing to cutting-edge innovations that shape the future of healthcare. Job DescriptionYour responsibilities will include:Software Design & Implementation: Design and implement software for GE Healthcare’s Medical Ultrasound products, ensuring adherence to high standards of quality and performance.

Full Software Development Lifecycle: Engage across the entire software development lifecycle, including high-level and detailed design, implementation, verification (both automated and manual), and maintenance activities. Contribute to the development of software and data delivery platforms with reusable components that can be orchestrated together into different methods. Requirements & Specifications: Author software requirements and design specifications, acting as a feature lead by managing scheduling, estimating efforts, and overseeing implementation. Testing & Verification: Develop and execute unit, integration, and system tests to validate design and implementation throughout development cycles.

Quality & Compliance: Apply technical expertise to ensure the quality of design and implementation, including compliance with GE Healthcare’s Quality Management System. Agile Collaboration: Collaborate with project team members using the Agile Scrum methodology to deliver high-quality software solutions.

Teamwork: Share Demo and best practices as part of Scrum team. Design and develop implementation plan based upon a current vs. future state in a cohesive architecture viewpoint.

Continuous Improvement: Support and drive the team’s efforts in continuous improvement by enhancing efficiency, eliminating duplication, and leveraging product and technology reuse. Code Standards & Performance: Write code that meets established standards and delivers the desired functionality. Understand and assess application performance to ensure optimal outcomes.

Communication: Proactively share information across the team, ensuring it reaches the right audience with the appropriate level of detail and timeliness. Education QualificationBachelor’s degree in electrical engineering, Computer Engineering, Computer Science, Data Science or related computer degree.

4 years of professional experience in Software Engineering. Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns4 years of experience C++, software design, implementation, and testing skills. Experience in development and implementation of Image Processing/ Computer Vision algorithmsKnowledge of AI, Deep Learning, and Machine Learning techniques.

Hands-on experience integrating AI Models into medical device productsExperience in developing AI inference pipelines for medical device. Desired Characteristics / Technical ExpertiseDemonstrated experience in C++/Python preferably in image processing / medical image processing domain. Working knowledge of CUDA, OpenCL, GPGPU programming.

Experience integrating AI Models into medical device products. Experience in developing AI inference pipelines for medical device. Strong working knowledge of SQL for data querying.

Ability to take ownership of small and medium sized tasks and deliver while mentoring and helping team members. Software Reliability and Performance: Deep understanding of software reliability, fault detection/isolation, and performance algorithm techniques. Regulated Standards Compliance: Proven experience in developing software according to regulated standards for the Software Development Life Cycle (SDLC) within the Medical Device industry.

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