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.

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.

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.