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  Staff Software Engineer - Sensing (SF Bay Area) San Francisco Bay Area Job Title: Staff Software Engineer Location: SF Bay Area About Canopy At Canopy, we build technology that helps make healthcare environments safer for the people delivering care. Our connected safety platform powers real-time communication, response coordination, and location intelligence across hospitals and complex care environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Our engineering organization is scaling alongside our growth, and we are looking for a Staff Software Engineer who can help shape both our technical direction and the way we build. This is not simply a feature delivery role. This is a systems-thinking role for an experienced engineer who can drive architecture, influence engineering standards, and help scale a platform, organization, and culture simultaneously. The Role Canopy is seeking a Staff Software Engineer to develop our next-generation sensing data pipeline — building the “physical full stack” from firmware and edge algorithms to the backend and frontend services that power them. You will bridge physical hardware and cloud systems, applying physics-based modeling to solve complex sensing challenges at scale that are not possible with traditional products. This is a unique role within Canopy to translate hardware schematics and firmware design into products that work in harsh environments and result in life-saving outcomes. We care deeply about building highly automated development environments that accelerate our prototyping and verification cycles, ensuring our mission-critical systems are built faster, safer, and with greater precision. How to you will make 10X impact: Drive the development of next-generation hardware that will be in the hands of millions of healthcare professionals Design and implement robust firmware across Canopy devices; build and maintain a powerful HIL automation platform to accelerate development and enforce system safety Apply signal processing and machine learning for on-device algorithms, cloud pipelines, and field-ops tools Collaborate across hardware product and software teams to launch production-grade sensing devices at scale Apply systems-level design intuition to compute layers power management and communication protocols Engineer industrial-grade fault-tolerant designs to ensure reliability during unexpected power events We’re excited about you because: You enjoy building, and thrive in teams that care a lot about people. Deep proficiency in Rust, C, C++, Python with practical experience in RTOS (Real-Time Operation System) (e.g., Zephyr, FreeRTOS) and Embedded Linux (e.g., Yocto, Buildroot). Intuitive grasp of digital electronics, board-level bring-up/validation/debugging, BSP (Board Support Package) and peripheral communication (SPI, I2C, UART, and interrupt-driven design). Ability to troubleshoot complex systems using oscilloscopes, logic analyzers, and diagnostic tools at the hardware/software boundary. Experience building deterministic, timing-sensitive firmware that integrates effectively with cloud-native data pipelines. Find extraordinarily creative ways to amass training data quickly to develop production-grade algorithms. Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field. It’d be great if you also had these: Experience in applied signal processing, machine learning Experience in healthcare, GIS, safety-critical, or high-availability environments Experience scaling SaaS platforms through periods of rapid growth Familiarity with event-driven architectures, real-time systems, or location-aware platforms Familiarity or interest in contributing to… Distributed systems, APIs, and service-oriented architectures Modern full-stack application devel