Senior Software Engineer II

Details

• 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
• 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)
• 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