Automation Embedded Software Engineer - Manager With more than 40 years of experience focused on metals worldwide, Danieli Automation is a technological partner for production management, process and equipment control, advanced instrumentation, and state-of-the-art electrical solutions. We are currently increasing our team within Automation Department. • Design and implement the business plan of the product (vison, target market, road map); • Co-operate with the marketing department to draft sales strategy; Develop technical documentation for the sales teams (tech spec, technical presentations, etc.); • Design KPIs for the product; • Manage business and functional analysis for software and hardware embedded solutions for real time controllers used for machine and process control in metals processing plants; • Translate customers’ needs into requirements and specifications in a way understandable to business users and the technical team; • Define priorities for functionalities and features, create and keep up-to-date project/product backlog, manage user stories, acceptance criteria and test cases for product evolution; • Coordinate and support the software development team participating in the implementation of the product features and in the configuration of the projects for each specific customer; • Regularly communicate with stakeholders and set expectations on deliverables; • Design and conduct user training courses, draft, update and maintain product documentation. • Attend events such as conferences, seminars, and exhibitions, giving product demonstrations and gathering user experiences and input for product evolution. •Master degree in technical disciplines: electronic engineering, computer science, automation; •Knowledge of real-time operating systems such as Linux RT / VxWorks and Windows10/11; •Knowledge of languages: C/C++ (necessary requirement); Python, C# (optional requirement); •Knowledge of development environments used: Visual Studio, Visual Code (necessary requirement); Workbench, PyCharm, Jupyter Notebook (optional requirement) •Knowledge of Ethernet networks and TCP/IP protocols; •Good command of the English language; Preference will be given to: •Knowledge of fieldbus network: Profinet, Ethercat, Ethernet IP; •Ability to read and understand industrial engineering documentation such as: electric diagrams, network diagrams, single-line diagrams; •Knowledge of hardware and software design issues of Artificial Intelligence (AI) systems, with particular reference to machine learning (ML); •Development experience and knowledge of Yocto Project; •Exprience with Docker and Kubernetes architectures. Soft Skills •Excellent teamwork skills; •Excellent problem-solving and decision-making skills; •Strong results orientation; •Good ability to adapt and interact in multicultural contexts. J-18808-Ljbffr