2 software engineer machine learning engineer jobs found

You don't just want to ship generically generated code, but rather help digitize industry on a large scale? Then join cap-on and build IoT products with us that truly advance machine manufacturers. If you're interested in challenging IoT, backend, and infrastructure topics with real impact – let's talk! Who are we? cap-on supports machine and plant manufacturers with a plug-and-play IoT solution and associated web platform to easily implement data-based business models such as pay-per-use, remote service or fleet digitization. We not only have many years of experience in developing scalable, production-ready IoT applications, but also a strong partner in the industry with thyssenkrupp. Who are we looking for? 3+ years of professional experience as a software engineer Track record of the realization and/or support of own software projects in production Extensive knowledge of Python and/or Golang & modern standards Infra/DevOps: Docker, Linux, Shell, Cloud...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work on machine learning challenges at the intersection of software, hardware, and performance. Your work will help us build intelligent systems that understand complex workloads and improve how software runs on modern processors. What you will be doing : Develop and improve deep learning models that support our core optimization and search systems Explore...