Staff Software Engineer, Sensing

United States Digital Space LLC; California (MO); Hybrid; USD 200,000 - 225,000; Full time

Job summary

Canopy Works is hiring a Staff Software Engineer for Sensing in the SF Bay Area. Hybrid, full-time role offering $200-225K plus equity.

You will contribute to the real-time coordination layer for hospitals, spanning hardware, firmware, edge, and backend services. Ideal candidates ship production features across both hardware and software domains and have experience with TypeScript, Rust, C and Python in embedded systems environments.

Qualifications

• Shipped production features across hardware and software.
• Strong background in embedded systems and RTOS.
• Proficiency with TypeScript, Rust, C and Python.

Responsibilities

• Build the next-gen sensing and ML pipeline across hardware to backend.
• Collaborate with hardware and software teams to deliver features.
• Develop firmware and edge algorithms for robust sensing.

Skills

TypeScript

Rust

C

Python

Embedded

Tools

RTOS (Zephyr, FreeRTOS)

Job description

the company | Staff Software Engineer, Sensing | SF Bay Area (Peninsula) | HYBRID | Full-time | $200-225K + equity | https://canopyworks.com

the company 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.