Senior Software Engineer
Meridian, Ada County, Idaho, 83680, USA
Listed on 2026-02-12
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Software Development
Software Engineer, AI Engineer
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, Equipment Monitoring, and Site Visibility. 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’s Fleet Safety team is seeking an experienced Senior Staff Software Engineer to join our growing team. As a Senior Staff Engineer at Samsara, you will be a senior technical leader who brings new ideas and expertise to guide the team’s technical architecture to enable novel features and customer use cases. You will leverage your experience with the rapidly evolving space of AI technology to create innovative new solutions to solve real-world problems in physical operations and save lives.
Samsara’s Fleet Safety team builds a comprehensive solution utilizing Samsara’s GPS Fleet Tracking and AI Dash Cam hardware products to improve driver safety using AI and data to create products that provide real-time driver feedback and streamline video-based coaching. Samsara customers depend on these features to create safety programs that dramatically improve driver safety, reward safe driving practices, and build trust by exonerating drivers in no-fault accidents.
This is a remote position open to candidates residing in the US.
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 millions of 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 workers that are keeping our economy running - drivers, mechanics, service technicians - 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.
- Own the technical strategy across Fleet Safety:
Define a coherent multi-year technical vision that aligns product needs with scalable architectures across video, telematics, and AI/ML workflows. - Lead architecture and systems design for cross-cutting, ambiguous problems:
Drive end-to-end definition, design quality, and delivery for the highest-impact initiatives; own one or more critical components that enable fast-paced innovation while meeting safety and reliability expectations. - Advance AI/ML and Computer Vision in production:
Translate research into robust customer-facing features—improving detection, classification, real-time feedback, and coaching workflows—with strong emphasis on system…
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