AI / Computer Vision (IC)

Samsara

4h•$200,200 - $357,500•Remote

About The Position

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. The scale involves millions of AI dash cams, 100B+ miles/year (~99% of U.S. roads), and 25T+ data points. Problems include driver behavior understanding, 3D scene reasoning, and long-tail event detection in real-world environments. The tech stack includes modern vision models (e.g. transformers), large-scale training pipelines, and optimization for edge inference on constrained devices. This is a remote position open to candidates residing in the US.

Requirements

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 Haves

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).

Responsibilities

Lead the design and implementation of critical Safety AI initiatives, including real-time perception systems that run across millions of edge devices and the cloud.
Architect end-to-end computer vision pipelines for real-world safety detection, including object detection, tracking, semantic segmentation, and multi-camera fusion.
Drive the technical roadmap for edge and cloud perception, focusing on optimizing and deploying models on constrained hardware without sacrificing accuracy.
Partner closely with hardware and firmware teams to co-design the full stack, including devices.
Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models.
Stay at the frontier of CV and perception research and translate findings into shipped products.
Mentor and technically guide senior scientists and engineers across the team.
Bring clarity to ambiguous problems by translating customer and business needs into precise, solvable engineering challenges.
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 the company scales globally and across new offices.