Senior Manager, Computer Vision

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:

The Safety AI team builds end-to-end computer vision and machine learning for Samsara’s AI dash cameras – delivering real-time driver safety insights and in-cab alerts. As a Sr. Manager of Machine Learning, you will lead teams that fuse on-device computer vision with IMU, GPS, and vehicle diagnostic data to detect, interpret, and surface actionable safety events and continuous risk signals. You’ll own the model lifecycle across edge and cloud – data curation, training, evaluation (including shadow/online experiments), deployment, monitoring, and iteration—and develop the core AI platform that powers these capabilities at fleet scale. You’ll partner closely with firmware, full-stack, and Platform teams to ship reliable, low-latency features, grounding detections in the “rules of the road” (e.g., stop signs and speed limits) to maximize precision and customer impact.

This is a remote position open to candidates residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

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 teams of scientists and engineers working on CV, sensor fusion, and ML.


• Help architect, build, and improve solutions for hybrid cloud-edge ML.


• Actively contribute to building the roadmap for AI products at Samsara.


• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.


• 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.


• Hire, develop and lead an inclusive, engaged, and high performing team.

Minimum requirements for the role:

• BS or MS in Computer Science or other technical degree.


• 7+ years relevant technical experience with AI systems.


• 6+ years relevant software engineering work experience.


• 5+ years of experience leading large software and science teams including senior ICs.


• Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.


• Comfortable leading full-stack / backend development in addition to science and research.

An ideal candidate also has:

• MS or PhD in Computer Science or other technical degree.


• Proven track record for innovation and delivering value to customers using AI.


• Customer orientation and intensive focus on improving the customer experience.


• Experience building, deploying, and optimizing AI systems than span edge devices and the cloud.


• Experience building products and solutions that rely on CV or sensor fusion.