[Hiring] Staff Software Engineer -Sensing @Canopy Works

Role Description

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.

• Bridge physical hardware and cloud systems, applying physics-based modeling to solve complex sensing challenges at scale.
• Translate hardware schematics and firmware design into products that work in harsh environments and result in life-saving outcomes.
• Build highly automated development environments that accelerate prototyping and verification cycles.

How 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.

Company Description

Canopy builds 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.