About Circadia Health
Circadia Health is a growth-stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our Circadia Intelligence Platform combines:
Contactless sensing that monitors respiration and motion with medical-grade accuracy
Native predictive models that detect 85% of preventable adverse events several days in advance
Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows
Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA.
Circadia Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by law.Our models predict which patients are deteriorating. That prediction only matters when it reaches a care team member who is mid-shift and holding a phone. You will build that last mile: the Circadia Intelligence Platform that care staff act on, the software features around it, and the services underneath, carrying 70,000 years of continuous vital signs against clinical records from more than 400,000 patients. Every senior-care operator runs differently, so part of the work is deploying and adapting that platform for specific customers, then deciding what stays customer-specific and what becomes the next core feature.
Design and lead backend finance platforms, including event-processing APIs, an append-only accounting ledger, and production services with audit-grade controls, exact-once processing, and high correctness requirements.
Productionize and optimize GPU inference systems across serving APIs, vLLM, ROCm, and rack-scale infrastructure, improving reliability, numerical correctness, throughput, latency, and capacity efficiency.
Lead the technical strategy, architecture, and deployment of secure AI systems, setting standards for safe machine learning while advising clients, mentoring engineers, and advancing AI safety evaluations.
Lead the architecture and development of a multi-tenant cloud data platform, shaping technical strategy and driving scalable, reliable systems while partnering across teams and mentoring engineers.
Lead the architecture and hands-on development of AI-powered education products, guide and mentor developers, and partner with product and design to deliver secure, accessible learning tools.
