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

Samsara builds software that helps organizations run safer, more efficient physical operations. Our products connect data from vehicles, equipment, and cameras to the people who use it.

The Operational AI team is turning Samsara's safety cameras into tools for understanding everyday operations. Our AI-powered products help customers observe the work, conditions, and events that matter to them, wherever their vehicles travel or their teams operate.

As a senior engineer, you will build agentic solutions that let customers create their own custom detections and workflows. You will own work from the first customer conversation through design, implementation, and production operation. You will work across backend services and customer-facing software, partnering with platform and machine learning engineers on AI capabilities in the cloud and on devices.

This role offers room to shape both the product and its technical direction. You will help decide what to build, learn from customers, and turn early ideas into software they can rely on.

Open to candidates residing in the US and Canada.

You should apply if

You want to work directly with customers and use their feedback to decide what to build next.
You enjoy working through ambiguity, defining the problem and deciding what to build rather than waiting for a detailed specification.
You work backward from business goals and move across the stack to solve the problem.
You know when a one-off solution is enough and when a reusable platform is worth building.
You experiment with AI to improve your own workflows and use what you learn to shape the next generation of products.
You want to make a meaningful impact on the industries that keep the world running and help workers return home safely.

In this role, you will

Turn customer needs into a clear engineering plan. Define useful first releases, explain tradeoffs, and adjust the plan as you learn.
Design and ship features across backend services, APIs, and customer-facing experiences. Build reusable capabilities where they solve recurring customer needs.
Partner with platform, machine learning, product, and design teams to connect AI detections and agents with operational workflows.
Earn customer trust through accurate, consistent, and transparent AI detections, recommendations, and actions. Measure detection quality and customer impact to guide improvements.
Improve reliability, response time, and compute cost so the product works well as usage grows.
Own the production systems you build, including monitoring, troubleshooting, and improvements after launch.
Shape architecture and technical priorities, balancing new features with reliability, maintainability, and future growth. Support other engineers through design discussions, code reviews, and mentorship.
Put Samsara's principles into practice. Focus on customer success, build for the long term, adopt a growth mindset, be inclusive, and win as a team.

Minimum qualifications

Strong programming and system design fundamentals, with experience owning software in production, making technical tradeoffs, and diagnosing complex issues.