Software Engineer II

Samsara

7d • $113,645 - $191,000 • Remote

About The Position

The Safety Engineering - Triage & Insights Team builds systems and customer-facing products across web, mobile, and API surfaces that help fleets identify unsafe driving behaviors and recognize positive driving habits. The team ingests sensor and media data, detects risky behaviors, and provides the source of truth for safety events, from automations and the safety inbox to reports, safety scores, and driver coaching.

The team is developing AI-native safety products, including LLM-powered workflows, agentic systems, and conversational experiences. These products aim to help customers move from manual incident review and reactive coaching toward proactive, intelligent, self-serve safety operations. This includes AI-driven driver experiences with live, two-way interaction and agent-assisted tools for safety managers.

As a Software Engineer II, you will own customer-facing features from concept through production. You will partner with Product, Design, and ML and AI engineering teams to evolve products, refine workflows using customer input, and deliver scalable, AI-powered solutions. This is a remote position open to candidates residing in the United States and Canada.

Requirements

• At least 3 years of professional software engineering experience building, shipping, and operating reliable customer-facing production systems.
• Strong programming fundamentals in a language such as Golang, Java, or Python, including writing clean, maintainable code and reviewing peers' code for correctness and clarity.
• Experience developing features or end-to-end solutions across backend services, APIs, and modern web applications.
• Experience or demonstrated interest in AI-native development, including integrating LLMs into products, building agentic workflows, or running evaluations to improve AI-generated output.
• Experience using data, metrics, logs, tests, or tracing to investigate issues, validate releases, and improve reliability.
• Ability to independently own moderately complex projects, estimate and communicate milestones, and deliver against them.
• Strong communication and collaboration skills across engineering and cross-functional partners.
• Growth mindset, strong product intuition, and enthusiasm for learning technologies and building impactful customer experiences.

Nice To Haves

• Experience building and scaling customer-facing AI or LLM-powered products in production, including agent tooling, RAG, prompt engineering, or conversational and voice experiences.
• Experience with LLM evaluation and observability tools such as Langfuse or Eino, and optimizing LLM-powered systems for cost and token efficiency.
• Track record of using AI coding agents to plan and deliver features, beyond autocomplete.
• Experience across the stack with technologies such as Go, GraphQL, TypeScript, React, React Native, and AWS, Azure, or Google Cloud.
• Familiarity with observability, rollout practices, and monitoring approaches that improve product reliability and operational excellence.
• Experience in fast-paced, highly collaborative environments with distributed teams.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Responsibilities

• Own customer-facing features and platform capabilities end to end, from design and implementation through rollout and production follow-through, including taking AI prototypes to production at scale.
• Architect, build, test, and deliver full-stack products across reliable services, APIs, and web and mobile experiences.
• Integrate LLMs into safety workflows, develop agent tooling and retrieval-augmented generation (RAG), and design interactions between AI agents and product interfaces.
• Design and run evaluations and build human-in-the-loop feedback loops to improve the accuracy, precision, and reliability of delivered insights.
• Use AI coding tools and agents to plan, build, and ship faster, and help shape the team's AI-assisted software development practices.
• Make technical tradeoffs across speed, maintainability, scalability, cost, and customer impact.
• Own the operational health of production systems, improving reliability and scalability as the customer base grows.
• Collaborate across Engineering, Product, Design, ML, and platform teams to deliver cohesive customer experiences.
• Champion and model Samsara's cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.

Benefits

• Initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
• Performance-based bonus or variable pay and equity for eligible roles.
• Flexible, employee-led remote work model.
• Professional development stipend.
• Comprehensive health plans.
• Parental leave plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed