Senior Software Engineer II at Samsara — NeverHard

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is 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 In-Vehicle Experience team at Samsara built its foundation at the edge: six firmware engineers shipping the software that runs on dash cams in hundreds of thousands of vehicles. Now the roadmap is expanding into AI-powered voice agents, real-time audio orchestration, and driver feedback systems, and the team is standing up its software engineering function for the first time. You'd be the first dedicated SWE and the team's technical anchor from day one. The problem space is unusual: a truck cab where a driver's attention is limited, multiple AI-driven systems are competing to speak, and every decision has to be right the first time. Today, these products don't exist yet. You'll define what to build, design the systems behind it, and ship it. The starting point is always the driver's experience. You'll work primarily in backend systems that orchestrate agentic, voice, and real-time experiences running at the edge. The team's firmware engineers own the device side. You'll need to understand edge constraints well enough to design APIs and service contracts they can consume, but this is a backend and AI role. AI-assisted engineering is central to how you'll work. You'll use tools like Codex, Claude Code, and Cursor throughout the development lifecycle: investigation, design, code generation, testing, review, and operations. This is a remote position open to candidates residing in Canada. In this role, you will: Define what to build and how to build it, shaping product direction from the engineering side Own the technical direction for orchestrating concurrent, real-time interactions to deliver one coherent experience for the driver Build and ship new AI-powered products from zero to one in a fast-moving, ambiguous environment Design systems that coordinate across backend and edge boundaries, where reliability and real-time responsiveness both matter Make architectural tradeoffs where requirements are still evolving, favoring foundations that generalize over narrowly-scoped solutions Establish patterns for reliability, observability, and explainability in systems that make real-time decisions Serve as the team's technical anchor: review designs, unblock decisions, and mentor firmware engineers as they grow into full-stack contributors Bring in outside ideas and practices for full-stack and AI-assisted development Champion the Samsara 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 Minimum requirements for the role: 8+ years of software engineering experience, including ownership of products from concept through production Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience Strong programming fundamentals (Golang, Python, or similar) Experience building products on top of LLMs or AI agent platforms Experience designing reliable, distributed backend systems that support multi-step, asynchronous workflows Experience designing backend systems that serve edge, embedded, or resource-constrained clients Experience with quality and safety considerations for AI-driven systems: validating outputs, structured responses, retries/fallbacks, and monitoring Experience mentoring engineers as they expand into unfamiliar technical domains Strong communication skills and ability to influence technical direction without formal authority Located in and authorized to work in the United States or Canada (fully remote) An ideal candidate also has: Experience building zero-to-one products in fast-moving, high-autonomy environments Experience building scheduling or arbitration systems Experience designing systems that combine structured and open-ended signal collection to inform product decisions Familiarity with agent orchestration frameworks or patterns