Job Overview
Job description
- Salary:
- It’d be great if you also had these
- Location:
- San Francisco Bay Area
- Work arrangement:
- On-site
Role Summary
- 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.
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.
Responsibilities
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
Requirements
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.
- 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.
- Role:
- Staff Software Engineer - Sensing
Company profile

Canopy Works
canopyworks.comCanopy Works (Canopy) provides the Canopy Connected Safety Platform for hospitals, designed to prevent workplace violence and protect healthcare staff. The platform combines purpose-built technology, real-time alerts, and partnership-driven service, including wearable duress buttons and real-time location tracking. Canopy was founded to combat the safety challenges and rising workplace violence faced by healthcare professionals, and it works with healthcare organizations to protect their teams.