GE Healthcare
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The Principal Software Engineer will develop and maintain scalable data architecture, ensuring it aligns with business objectives and adheres to governance policies. This role involves designing high-quality distributed systems and collaborating with technical teams to implement software components adhering to best practices and focusing on data integrity.
As the Global Product Manager, Perinatal Digital, you will drive the product roadmap for Centricity Perinatal and Next Gen Digital Perinatal Solutions, focusing on digital strategy within the Perinatal Digital Ecosystem. Responsibilities include partnering with internal and external stakeholders to advance the vision of precision health and enable clinicians to deliver efficient, patient-centered care in the Perinatal continuum.
Responsible for developing and managing engineering / technology projects, interfacing with internal/external customers, managing schedule and budget, and providing guidance to team members.
As a Staff Software Engineer, you will own and develop components in the X-ray Image Acquisition Software team, working closely with architects and product management. Your responsibilities include understanding requirements, designing and implementing features, creating testing infrastructure, and overseeing software releases in a collaborative environment.
As a Distinguished AI Engineer, you will lead the design and implementation of advanced AI models, focusing on generative vision, text, and time-series problems. You will drive technical strategy, mentor junior engineers, and ensure the delivery of scalable machine learning solutions for clinical applications while maintaining high standards of efficiency and operational excellence.
The Software Engineer will develop the next generation Ultrasound system UX and user optimized workflows. Candidates will utilize their experience in client-side software development and complex applications, with a strong focus on coding standards and quality.
The Revenue & Market Intelligence Manager will drive revenue generating marketing programs and manage market intelligence across Europe, collaborating with sales and commercial teams, while focusing on lead and opportunity conversions, utilizing digital marketing tools and analytics to measure impact and optimize processes.
The Senior Software Engineer will contribute to the development of Enterprise Imaging products, leveraging cloud infrastructure and technology. Responsibilities include designing high-performing web services, coding per project standards, and assessing application performance while collaborating with product teams to meet customer requirements.
As a Software Engineer at GE HealthCare, you will engage in end-to-end software development for enterprise imaging products, working closely with global teams. You will be involved in feature programming, ensuring quality and performance, troubleshooting, and actively participating in Agile methodologies.
As a Sr Software Engineer, you will integrate machine learning models into production systems, manage infrastructure workflows, and maintain CI/CD pipelines. Your role involves optimizing model deployment, monitoring performance, ensuring compliance, and collaborating with data science teams.
The Staff Software Engineer will design, develop, and maintain software for medical devices. Responsibilities include providing technical leadership, collaborating with cross-functional teams, ensuring code quality, and optimizing application performance. The engineer will work in an Agile environment and engage with product requirements while maintaining best practices.
The Senior Software Engineer will develop and manage software modules, ensuring quality through best practices and collaboration within an Agile Scrum team. Responsibilities include design, coding, test automation, and integration, with a focus on scalable enterprise solutions and maintaining workflow in project management tools.
The Senior Software Engineer will define, develop, and evolve software in an agile environment, provide technical leadership, and translate product requirements into user stories. Responsibilities include ensuring software quality, collaborating across teams, supporting process improvements, and applying software development methodologies.
The Senior Software Engineer will develop modules for a distributed Internet of Medical Things platform, managing all phases of the Software Development Life Cycle. Responsibilities include designing and developing microservices, coding, testing, and integrating modules, maintaining code quality, and working in Agile teams to meet sprint goals.
The Senior Software Engineer will define, develop, and evolve software in an agile environment, providing technical leadership, translating product requirements, and driving quality and efficiency across teams.
The Staff Software Engineer will design, develop, and test V&V for VNA products at GE Healthcare. Responsibilities include software design, automation frameworks, and performance assessment, utilizing health care standards and cloud technologies. The role requires interacting with customers during early stages and requires extensive experience in test automation and CI processes.
The Staff Software Engineer will design and develop embedded software for diagnostic cardiology products, lead technical discussions, provide support to team members, ensure SDLC compliance, and oversee software quality and testing processes.
The Senior Software Engineer is responsible for software programming, defining and evolving software in an agile environment, leading technical teams, translating product requirements into user stories, and ensuring quality standards are met. Additional responsibilities include driving efficiency, supporting process improvements, and mentoring team members while working cross-functionally to align deliverables with business strategies.
As a Senior Software Engineer, you will develop modules for an IoMT platform, manage the software development life cycle, and work in an Agile team. Your responsibilities include designing and developing microservices, ensuring code quality, and collaborating with product management and architecture teams.
As a Machine Learning Engineer, you will integrate and deploy machine learning models, design and maintain infrastructure, implement CI/CD pipelines, monitor model performance, manage data, ensure compliance, document processes, and collaborate with cross-functional teams.