Maddox.ai

Our product, Maddox AI, is an AI-based visual quality control solution, which can automate manually performed quality inspection for manufacturing companies. Maddox AI is an asset-light SaaS solution, which addresses those visual inspection tasks that are still performed manually, as conventional (=rule-based) computer vision methods fail. In product development, we closely collaborate with leading AI researchers from the Cyber Valley. Prof. Dr. Matthias Bethge, Prof. Dr. Alexander Ecker and Dr. Wieland Brendel have been researching in the field of machine learning and computer vision for years and are part of our founding team. Maddox AI is used by DAX-30 companies as well as by large medium-sized enterprises. Our team consists of scientists, former strategy consultants, mechanical engineers, and software engineers. We know that Maddox AI's success is only made possible by our unique team. As we continue to grow, we want to convince the best and brightest minds of our mission to establish Maddox AI as the modern quality management platform. We are looking for new colleagues for the following position: (Senior) Software Engineer, Edge (m/f/d) | ONSITE Tuebingen | (https://maddox-ai-gmbh.jobs.personio.de/job/894530?display=e...) - Main Technologies: Python3, PyQT/QML <- If you are good in one of those, we want to get to know you :) - Other Technologies: Ubuntu, (Embedded) Linux, ONNX, TenorRT, CUDA, Nvidia Jetson Platform, L4T, Systemd, neoapi As part of the edge software team, you will contribute to the development of our edge software framework, which is crucial to enable running models in nearly real time on the customer's manufacturing site. Your code will be responsible to connect all the dots: from image acquisition via our industrial cams, integrating cutting-edge machine-learning techniques into low-latency edge environments, providing industry-standard interfaces for full automation to implementing UI components for our touchscreen interface, and communicating with our cloud infrastructure. You will be working closely not only with your software engineering but also with machine learning and hardware engineering peers.