Canopy builds the real-time coordination layer for hospitals: communication, safety, location intelligence, and response across large, complex care environments. Every hospital is a logistics problem wrapped around a clinical one, with millions of people and events an hour across the country. When a building can sense itself in real time, the gap between an event and the right person arriving goes from minutes to seconds. People are safer, care arrives faster, and hospitals and clinics get a path to modernize on the infrastructure they already run. Sensing is the foundation.
You'd build our next-generation sensing and ML pipeline (the "physical full stack"), from sensors and embedded firmware through edge algorithms to the backend and frontend services. Physics-based modeling for sensing problems that traditional IoT products can't solve, in devices that have to survive harsh environments. We care deeply about hardware-in-the-loop platforms, simulations, and internal tools. Ideal candidates have shipped production features on both sides of the hardware/software line.
What we've deployed recently: TypeScript, WASM, Rust, C, Python, RTOS (Zephyr, FreeRTOS), embedded Linux.
If you care about the difference between 99.99% and 99.999%, and about the frontline medical staff relying on that last nine, you'll like it here.
Apply: https://job-boards.greenhouse.io/canopyworks/jobs/4317128009 AND email hn <at> (company domain) about a real-world sensor that broke your prior assumptions: what you expected, what the data actually did, and what you changed.