R&D Software EngineerA reference partner in consultancy and co-funded R&D activities at both national and international levels is looking for an R&D Software Engineer in Pisa.
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 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 travel in EU countries.Minimum requirements:
Master's 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 such 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 about architecture, software design, and 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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