Samsara
IoT, Connected Operations, Agriculture, Construction, Field Services, Transportation, Manufacturing
AI/ComputerVision(IC)
Neural analysis suggests this role is
optimal for Senior candidates.
“AI / Computer Vision (IC) at Samsara. Skills: Computer Vision, AI, Machine Learning, Edge AI, Real-time perception systems. Lead the design and implementation of critical Safety AI initiatives.. Develop real-time perception systems for edge devices and the cloud.”
What You'll Achieve.
Prevent accidents that would have harmed an estimated 380,000 people per year.; Improve the safety, efficiency and sustainability of physical operations.; Digitally transform operations at scale.
Industry & Context.
Translate customer and business needs into precise, solvable engineering challenges.
What They're Looking For.
Must Have
Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field., 10+ years as a scientist or ML engineer, with experience leading end-to-end AI systems in production., Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments., Experience with multimodal perception and sensor fusion (e.g., camera, lidar, radar, GPS/IMU)., Experience with transformer-based architectures and vision-language models (VLMs/VLAs)., Experience building and deploying real-time or edge ML systems optimized for low-latency inference., Demonstrated ability to drive systems from research through production deployment, including performance optimization and reliability at scale.
Nice to Have
Experience applying perception to real-world systems such as driver assistance, fleet safety, or operations automation., Publications or patents at top-tier venues (CVPR, ICCV, ICRA, NeurIPS).
What You'll Do.
Lead the design and implementation of critical Safety AI initiatives.
Develop real-time perception systems for edge devices and the cloud.
Architect end-to-end computer vision pipelines.
Drive the technical roadmap for edge and cloud perception.
Optimize and deploy models on constrained hardware.
Train and iterate on production models using petabyte-scale multimodal data.
Stay at the frontier of CV and perception research.
Translate research into shipped product.
Bring clarity to ambiguous problems.
Translate customer and business needs into solvable engineering challenges.
How You'll Work.
Team & Collaboration
Partner closely with hardware and firmware teams.; Mentor and technically guide senior scientists and engineers across the team.; Win as a Team.
Communication Scope
Bring clarity to ambiguous problems.
Full Job Description
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's AI has helped prevent accidents that would have harmed an estimated 380,000 people per year. Every model we ship runs in the real world, on real roads, protecting real drivers. This is the most senior individual contributor role on our Safety AI team. The role is focused on taking models from research to production in safety-critical systems. You'll sit at the intersection of cutting-edge computer vision research and production systems that run across millions of IoT devices globally. The models you build run on the edge, in real time, on the trucks and vans and heavy equipment that keep the world moving. Scale: Millions of AI dash cams, 100B+ miles/year (~99% of U. S. roads), 25T+ data points Problems: Driver behavior understanding, 3D scene reasoning, and long-tail event detection in real-world environments Stack: Modern vision models (e. g. transformers), large-scale training pipelines, and optimization for edge inferen
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