# Staff Software Engineer - Sensing at Canopy Works > United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Acanopyworks%3A4317128009 (read 2026-11-14). ## Facts (observed) - Company: [Canopy Works](https://alderhq.app/companies/canopy-works) - Location text: San Francisco Bay Area; San Francisco Bay Area - Where it can be done from (inferred): United States (evidence: "Location: San Francisco Bay Area; San Francisco Bay Area") - Posted: 2026-07-15 (121 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-10 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/canopyworks/jobs/4317128009 - Skills listed (inferred): Python, Rust, C++, Distributed systems ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (SF Bay Area, n 1161): p25 $205k, median $240k, p75 $284k ## Description (the employer's text) ### 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 development - DevOps, SRE, or platform engineering practices ### How We Work At Canopy, strong engineers do more than write code. We value people who: - Care deeply about the customer and mission --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acanopyworks%3A4317128009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.