The opportunity
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…
What you'll do
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 inference on constrained devices
You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
What they're looking for
- You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.
- You will be the technical thought leader and you will lead the design and: implementation of our most critical Safety AI initiatives including real-time perception systems that run across millions of edge devices in the physical world and the cloud. The scale and constraints make this an extremely unique applied ML problem. You will: Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond
- Drive the technical roadmap for edge and cloud perception, including how we: optimize and deploy models on constrained hardware without sacrificing accuracy
- Partner closely with our hardware and firmware teams: we build our own devices, which means you'll have a rare ability to co-design the full stack