At a glance
- Experience
- 10+ years experience
- Workplace
- Remote
- Location
- US · SF Bay Area
About the role
- The Safety Firmware Team builds next-generation intelligent video and AI-driven safety solutions, bringing high-performance camera systems and real-time edge computing into Samsara's fleet and industrial products.
- This role is for a hands-on technical leader who goes deep on firmware and is comfortable across the full stack including embedded systems, Go backend services, and web and mobile surfaces.
Responsibilities
- Own outcomes end-to-end, from a vague customer problem to a shipped, measured feature, across the full stack: firmware, Go backend services, and web and mobile surfaces
- Drive technology choices, implement embedded and firmware solutions, and establish architectural patterns with a broad and lasting impact on Samsara's products, from the device to the cloud
- Leverage voice as the new interface, powering AI Agents as well as humans communicating
- Design for the whole system: device constraints, connectivity, cloud services, and fleet-scale rollout
- Identify opportunities and start strategic conversations that influence the direction of our technology and engineering culture
- Ensure the accuracy of the AI algorithms we run at the edge, and that they operate within device constraints
- Build with AI agents by default, and raise the AI fluency of the engineers around you
- Partner closely with the Hardware team to define and build next-generation devices that support company objectives, and work just as fluently with Backend, Web, Mobile, Product, and Customer Success teams
- Lead teams in delivering products and capabilities that contribute to Samsara's products and revenue
- Solve the hardest technical problems and help products reach the market quickly, with high quality
Requirements
- 10+ years of experience designing, developing, and deploying software, with deep expertise in embedded systems and firmware, including at least 2 years in a technical leadership or architecture role
- Deep expertise in at least one embedded domain (for example multimedia, connectivity, drivers and kernel, power, or real-time systems)
- Has shipped across the stack: firmware, Go backend services, and web or mobile surfaces, not just embedded
- Strong programming skills in C/C++, Go, Python, or similar
- Product and systems thinking: has shipped products, not just components; ties technical decisions to customer outcomes; and reasons about the whole system, including device constraints, connectivity, cloud, and fleet-scale rollout
- High agency and execution speed: owns outcomes end-to-end, from a vague customer problem to a shipped, measured feature, without waiting for a spec or hand-off
- Already uses AI tools in day-to-day engineering work, builds with AI agents by default, can speak concretely to what share of their code is AI-generated, and raises the AI fluency of the team around them
- Demonstrated ability to lead and deliver complex, high-impact projects with multiple dependencies
- Strong communication and collaboration skills, equally credible in a kernel driver review and a backend design review, with the ability to move across teams and influence cross-functional stakeholders
- A track record of building systems that do more with less hardware, and comfort operating under scarce compute, data, or hardware budgets, in any industry
Preferred qualifications
- Expertise in multimedia frameworks, video codecs, and camera systems
- Played a prominent role in shaping the engineering culture of a rapidly scaling, large, global engineering team
- Expertise in developing and managing software for large-scale embedded systems deployed on 1M+ devices
- Experience deploying CV/ML models on edge devices in real-world applications
- Background in another scarce-resource industry (robotics, drones, consumer electronics, automotive)
Benefits
- Initial RSU grant with no vesting cliff
- Ongoing refresh opportunities tied to performance
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
Workplace
- This is a remote position open to candidates residing in the US and Canada.
Skills
- C/C++
- Go
- Python
- Embedded Systems
- Firmware
- Computer Vision
- Multimedia Frameworks
- Video Codecs
