Automation Embedded Software Engineer - Manager

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.