Staff Software Engineer - Sensing
Company websitecanopyworks.com (Canopy Works, opens in new tab)
Base salary $200K to $225K
Employer-published annual base salary, USD. Advertised base range in California
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationCalifornia
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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.
Source: Canopy Works on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($200,000) is above 70% of the 4,250 Software Engineering roles in California listed on this site; 146 others list the same floor. Their median floor is $176,500; the middle half runs from $149,750 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingStaff Software Engineer - Sensing$200K to $225K
Controller$200K to $225K
Senior Product Manager - Platform$200K to $225K
Staff Software Engineer - NYC Tri-State Area$200K to $230K
Senior Software Engineer - NYC metro$160K to $195K
Senior Software Engineer - SF Bay Area$160K to $200K
Senior Mobile Software Engineer$160K to $195K
Chart as a table
| Role | Published base |
|---|---|
| Staff Software Engineer - Sensing (this listing) | $200K - $225K |
| Controller | $200K - $225K |
| Senior Product Manager - Platform | $200K - $225K |
| Staff Software Engineer - NYC Tri-State Area | $200K - $230K |
| Senior Software Engineer - NYC metro | $160K - $195K |
| Senior Software Engineer - SF Bay Area | $160K - $200K |
| Senior Mobile Software Engineer | $160K - $195K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-07-15
Where this pay comes from
Location as the employer wrote it: San Francisco Bay Area
The base salary range for this position is $200k - $225k per year, depending on location, experience and qualificati
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
