Canopyworks
Staff Software Engineer - Sensing
San Francisco Bay Area · Staff+
Sponsorship not specified$200k-$225kDetected 6 days ago
PythonRustC++Distributed SystemsFull-Stack DevelopmentAlgorithmsLinuxDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningEmbedded SystemsElectrical EngineeringSignal ProcessingGISCommunicationCollaboration
About the role
- 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.
Responsibilities
- 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.
- 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.
- Design and implement robust firmware across Canopy devices; build and maintain a powerful HIL automation platform to accelerate development and enforce system safety
- 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
- 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).
- Find extraordinarily creative ways to amass training data quickly to develop production-grade algorithms.
- Own outcomes, not just tasks
- Collaborate with a mission-driven, highly capable team
Requirements
- 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).
- Ability to troubleshoot complex systems using oscilloscopes, logic analyzers, and diagnostic tools at the hardware/software boundary.
- Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
- Experience scaling SaaS platforms through periods of rapid growth
- Familiarity or interest in contributing to…
Skills
- About Canopy
- Apply signal processing and machine learning for on-device algorithms, cloud pipelines, and field-ops tools
Compensation
- The base salary range for this position is $200k - $225k per year, depending on location, experience and qualifications.
Benefits
- Drive the development of next-generation hardware that will be in the hands of millions of healthcare professionals
- Work on technology with real-world impact in healthcare environments
Company info
- 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.
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