Staff Firmware Engineer

Overview

Staff Firmware Engineer on Samsara's Safety Firmware Team, building intelligent video and AI-driven safety solutions with high-performance camera systems and real-time edge computing, shipped end-to-end from device to cloud.

What you'll do

• Own outcomes end-to-end, from a vague customer problem to a shipped, measured feature, across firmware, Go backend services, and web and mobile surfaces
• Drive technology choices, implement embedded and firmware solutions, and establish architectural patterns with broad and lasting impact 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, including device constraints, connectivity, cloud services, and fleet-scale rollout
• Identify opportunities and start strategic conversations that influence the direction of technology and engineering culture
• Ensure the accuracy of the AI algorithms 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, and work 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
• Act as a multiplier for the team, raising the impact and output of every team member
• Champion, role model, and embed Samsara's cultural principles as the company scales globally and across new offices

What you'll need

• 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, 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

Nice to have

• 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)

Details

• Remote position open to candidates residing in the US and Canada
• Annual base salary: US $162,400 - $290,000 | Canada $154,800 to $212,850; pay may vary by city of residence, job-related knowledge, skills, and experience
• Eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms
• Offers are contingent on the ability to secure and maintain the legal right to work in the specified work location