Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing, and we are excited to help digitally transform their operations at scale.
Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.
About the role
The Safety Firmware Team builds the next generation of intelligent video and AI-driven safety solutions, bringing high-performance camera systems and real-time edge computing into Samsara's fleet and industrial products. We deliver low-latency, high-quality video processing, voice powered AI Agents and advanced computer vision models at the edge, and we ship them as complete products that run from the device to the cloud.
This role is for a hands-on technical leader who goes deep on firmware but is just as comfortable across the full stack: embedded systems, Go backend services, and web and mobile surfaces. You are AI-native in how you work, you move fast, and you own outcomes end-to-end. You think like a product and systems owner, you move easily across teams, and you want to shape Samsara's edge AI strategy, mentor engineers, and ship work that makes a real difference.
In this role, you will:
- 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
- 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 (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Annual Base Salary
US: $162,400 - $290,000 | Canada: $154,800 to $212,850
Minimum requirements for the role:
- 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
An ideal candidate also has:
- 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). A strong "do more with less" track record matters more than pedigree in this exact industry
