R&D Software Engineer | Pisa, IT
2 giorni fa
Azienda
Reference partner in consultancy and co-funded R&D&I activities at both national and international levels in the most innovative technology areas, such as 5G and 6G networks, IoT and Industrial IoT, cloud computing, edge computing, and Artificial Intelligence.
Offerta
The candidate will be involved in cutting-edge R&D activities in the IoT, AI and ML areas. The main tasks will include:
Participation in internal product-oriented projects and collaborative R&D international projects
Software development
Software integration, testing and validation
Contributions in requirements definition and analysis, system and software architecture design
Participation in technical meetings for R&D international projects, with travels in EU countries
Competenze ed esperienza
Master Degree in a related technology area, such as computer science, information technology engineering (computing engineering, telecommunication engineering, electronic engineering), automation engineering, biomedical engineering. Masters in hard sciences subjects as mathematics and physics may be considered.
At least 2 years of experience in development with one of the following languages: Java, Python, Go, C++. Experience with EU funding ICT R&D projects will be considered a strong asset.
Good capabilities in writing technical documentation both in Italian and English language, about architecture, software design, technical reports for testing, integration and validation activities.
Knowledge of networking foundations.
Availability to travel in EU countries when needed.
Optional requirements:
Knowledge of virtualization technologies and practical experience with platforms for management of Virtual Machines and containers (e.g., OpenStack, Docker, Kubernetes)
Knowledge (at least basic level) of DevOps solutions for testing automation and CI/CD, preferably with practical experience
Practical experience (at least basic level) with relational and non-relational database management
Knowledge (at least basic level) of protocols, techniques and solutions for messaging and data exchange, preferably with practical experience with open-source solutions (e.g., Kafka, RabbitMQ, etc.)
Previous experience, knowledge or interest in one of the following areas: SDN/NFV, edge and cloud computing, AI/ML techniques, network security, IoT platforms
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