Job description

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 Act with intention and intellectual curiosity Own outcomes, not just tasks Win together through collaboration and trust We are building an engineering culture that prioritizes high standards, thoughtful execution, and continuous improvement — without ego or heroics. Why Join Canopy Work on technology with real-world impact in healthcare environments Influence architecture and engineering direction at a critical stage of company growth Operate with high autonomy and meaningful ownership Collaborate with a mission-driven, highly capable team Help shape how a scaling engineering organization operates Canopy is an equal opportunity employer committed to building diverse teams and an inclusive environment for all employees. If you're excited about the opportunity to work on groundbreaking projects, collaborate with a talented team, and make a positive impact on the lives of healthcare workers, we'd love to hear from you. Join us in making a difference, from anywhere in the world, and apply now! The base salary range for this position is $200k - $225k per year, depending on location, experience and qualifications. Canopy is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Requirements

Must-haves

Staff Software Engineer - Sensing (SF Bay Area)
San Francisco Bay Area
Job Title: Staff Software Engineer
Location: SF Bay Area
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.
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
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…

Nice-to-haves

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Keywords to mirror

machine learningrustpython

Platform: greenhouse
Effort: quick