Circle Cardiovascular Imaging
Jobs at Circle Cardiovascular Imaging
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Recently posted jobs
Artificial Intelligence • Healthtech
Designs, develops, and deploys scalable deep learning systems for 3D medical image segmentation, geometric analysis, and physiological prediction. The role involves writing tested Python or C++ code, owning end-to-end ML workflows, applying biomedical data expertise, integrating models into software products, and mentoring junior engineers. Collaboration with scientists, product leaders, and architects is required. Preferred experience includes cloud platforms and MLOps tools such as Docker, Kubernetes, MLflow, and CI/CD.
Artificial Intelligence • Healthtech
Develop and maintain cloud platform integrations, APIs, backend services, and scalable software components for cardiovascular imaging products. The role supports NLP, conversational interfaces, agentic AI, platform integration, security, testing, observability, deployment, and production support. Responsibilities include translating product requirements into technical solutions, collaborating with cross-functional teams, conducting code reviews, troubleshooting, and improving development practices.
Artificial Intelligence • Healthtech
Test and validate Circle's cardiac MR software across platforms. Create, execute, and maintain test cases and automated regression scripts, report root causes, troubleshoot issues, and collaborate with clinicians and the scrum team. Perform functional, integration, performance, and user-acceptance testing and document results.
Artificial Intelligence • Healthtech
Lead design and development of advanced medical image processing algorithms and integration frameworks, implement automated workflows, collaborate with engineering, product, regulatory, and QA teams, develop and document validation strategies for regulatory initiatives, and provide technical guidance, code reviews, and mentorship to the software development team.
Artificial Intelligence • Healthtech
Develop and maintain cardiovascular medical imaging software on cloud platforms. Design and implement GUI workflows, backend services, and post-processing algorithms. Collaborate with developers, architects, and QA to deliver scalable, testable, and performant SaaS solutions.
