Software Engineer, Full Stack - Safety

About the role:

The Safety Triage & Insights team owns and develops systems and customer-facing products across web, mobile, and API surfaces that help fleets identify unsafe driving behaviors and recognize positive driving habits. By collaborating closely with other Safety teams, including ML & AI engineering, we ingest sensor and media data, detect risky behaviors, and now leverage large language models (LLMs) to analyze safety events, surface patterns, and distill insights that allow safety managers to focus on what truly matters.

As our scope grows beyond detection and remediation, the team is developing intelligent, higher-level products that provide proactive insights—empowering fleets to move from reactive coaching to strategic, data-driven safety management. As a Software Engineer II on this team, you will partner with Design and Product to evolve and expand our products, refine workflows based on customer input, and help deliver scalable, AI-driven solutions that make the world’s operations safer, smarter, and more efficient.

This is a remote position open to candidates residing in the US and Canada.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

In this role, you will: 

• Solve complex problems as you architect, build, test, and deliver full-stack products.
• Collaborate with engineers, product managers, designers, and support teams to deliver customer-facing solutions.
• Build upon skills and knowledge across a range of technologies such as Golang, GraphQL, Typescript, React, and MySQL. Previous experience with these technologies is not required.
• Integrate large language models (LLMs) into safety workflows, design and run evaluations, and build feedback loops that continuously improve the accuracy, precision, and reliability of the insights delivered to safety managers.
• Own the operational health of production systems as we build for the future scale of an ever-growing customer base.
• 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.

Minimum requirements for the role:

• 2+ years of professional software development experience.
• Strong programming/coding fundamentals in a language such as Java, Python, or Golang.
• Knowledge of designing, architecting, developing, and monitoring full-stack applications at scale.
• Familiarity with integrating LLMs into products, including running evaluations and creating feedback loops to improve accuracy and usefulness of generated insights.
• Experience using data to investigate issues and make the right call to resolve them.
• An ability to estimate, communicate, and deliver on project milestones with your team.
• A growth mindset and excitement around building new skills and expertise.

An ideal candidate also has:

• Experience leveraging tools such as Langfuse or Eino for evaluation, monitoring, and continuous improvement, and optimizing LLM-powered systems for cost and token efficiency.
• Background in web application development using modern frameworks such as React, Vue, Svelte.
• Knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud and experience designing, developing, and managing cloud-based infrastructure and applications.
• Bachelor's degree in Computer Science, Engineering, or a related field.