We are a small cutting-edge technology startup, Koone, that provides innovative solutions in the field of automation and monitorization applied to smart cities and construction.
We are seeking an experienced and skilled Full Stack Computer Vision Engineer to join our team ( 1 full stack CV engineer+ 1 product manager).
The successful candidate will be responsible for building and maintaining scalable and secure architecture in cloud providers such as AWS (IoT core + analytics + Quicksight + Timestream + API gateway), as well as implementing computer vision algorithms using Python and JavaScript and their respective core computer vision libraries.
We mainly work with NVIDIA Jetson Nano cameras (i.e.
Smartcow cams) devices and native inference toolkit such as DeepStream.TasksBuild and maintain architecture in cloud providers such as AWS/ AzureImplement computer vision algorithms using Python/JavaScript and respective core computer vision libraries on edge.Interact with NVIDIA platforms such as Metropolis, and Omniverse is a PLUSCollaborate with other teams to ensure successful delivery of all projects.Stay up-to-date with the latest computer vision technologies and trends (SAM, DINO v2).RequirementsBachelor's degree or higher in Physics, Computer Science, Electrical Engineering, Statistics, Robotics or related field.Experience in building and maintaining Machine Vision architecture in cloud providers such as AWS.Proficient with Python and JavaScript and respective core computer vision core libraries.Experience with NVIDIA ecosystem i.e.
devices, toolkits, frameworks and platform such as Jetsons, TX2 DeepStream, Metropolis, and Omniverse.Excellent problem-solving and analytical skills.Strong communication and collaboration skills.Ability to work independently and in a team environment.BenefitsMainly Remote position, however tip: we have a stunning coworking open spaced office in the center of Florence, IT (check Nana Bianca)?Generous PTO / sick leavefree lunch and snacks, that's italian, you already know what's going on here.Bring your dog to work fast growing startup environment #J-18808-Ljbffr