Senior Software Engineer II - Safety

About the role:

We’re looking for a motivated Fullstack Software Engineer to join our Safety In-Vehicle Experience team. Samsara’s In-Vehicle Experience team builds the software that shapes how millions of drivers interact with Samsara on the road. From real-time safety alerts and AI-driven insights to intuitive in-cab experiences, our work directly improves driver safety, engagement, and trust. 

This role calls for a solid grasp of software engineering practices, effective communication abilities, and a keenness to learn and collaborate with a team of skilled engineers. You will design and develop features across a broad surface area with a tangible impact on current and future customers.

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: 

• Lead design and development of end-to-end features that power real-time safety alerts, in-cab workflows, and Automations
• Solve complex problems and own the success of your solutions as you architect, build, test, and deliver full-stack products. 
• Mentor junior and mid-level engineers, fostering best practices in code quality, design reviews, testing, and system scalability.
• Communicate, collaborate, and develop with engineers, platform/infrastructure teams, product managers, designers, and support teams. 
• Build upon skills and knowledge across a range of technologies, such as Go, GraphQL, Typescript, React, and MySQL.
• Own the operational health of production systems as we build for the future scale of an ever-growing customer base. 
• Make an impact on our core architecture, roadmap, and the wider engineering community.
• 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:

• 7+ years of experience building and maintaining production-grade fullstack applications.
• Strong proficiency in at least two of the following: Go, GraphQL, TypeScript, React, or comparable modern frameworks.
• Proven track record of owning complex systems end-to-end—from design and implementation through deployment and operational support.
• Experience collaborating with cross-functional teams (firmware, platform, product, and design) to deliver customer-facing features.
• Strong communication skills with the ability to influence architecture and mentor peers.
• Demonstrated ability to move seamlessly between front-end and back-end systems to accelerate delivery and resolve integration challenges.

An ideal candidate also has:

• Experience building fullstack systems that interface with embedded or edge devices, IoT platforms, or real-time telemetry pipelines.
• Exposure to AI/ML-driven user experiences, such as voice interfaces or feedback loops.
• Effectively collaborated on a geographically distributed team.
• Maintained software products at scale.