Staff Machine Learning Engineer, Edge AI

Location: Washington
Posted on: June 23, 2025

Job Description:

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: The Embedded Perception Team builds the next generation of intelligent video and AI-driven safety solutions, integrating high-performance camera systems and real-time edge computing into Samsara’s fleet and industrial products. We enable low-latency, high-quality video processing and advanced AI models at the edge. This role is perfect for a hands-on, technical leader who wants to shape Samsara’s edge AI and multimedia strategy while mentoring engineers and delivering impactful solutions. 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 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 worlds 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: • Drive technology choices, implementing embedded solutions, and/or establishing architectural patterns that have a broad and lasting impact on Samsaras products • Identify opportunities and initiate strategic conversations to influence the direction of our technology and engineering culture • We operate significant AI algorithms on the edge, and you will play a key role ensuring their accuracy and that they run within the constraints of the devices • Partner closely with our Hardware team in defining and building next generation devices that can support the company’s objectives • Lead teams in delivering products and capabilities that contribute to Samsara’s products and revenue • Deliver impact by solving the hardest technical problems and enabling products to reach the market quickly and successfully with high quality • Act as a multiplier for the team, elevating the impact and output of every team member • 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: • 8 years of experience in the design, development, and deployment of embedded software, with at least 2 years in a technical leadership or architecture role • Proven expertise in multimedia frameworks, video codecs, and camera systems • Strong programming skills in C/C++, Go, Python, or similar • Demonstrated ability to spearhead and deliver complex, high-impact projects with multiple dependencies • Strong communication and collaboration skills, with the ability to influence cross-functional teams and stakeholders • Experience deploying CV/ML models on edge devices in real-world applications An ideal candidate also has: • Played a prominent role in shaping the engineering culture of a rapidly scaling large, global engineering team • Expertise in developing and managing software for large-scale embedded systems, deployed on 1M devices

Keywords: , Frederick , Staff Machine Learning Engineer, Edge AI, Engineering , Washington, Maryland