Agv Embedded Software Engineer

02 ott - Bologna
E80 Group

Within SM.I.LE80 engineering organization we are looking a software engineer who can actively and effectively contribute to the evolution of SM.I.LE80 product portfolio with particular focus on the EDGE layer (autonomous vehicles), bringing in his experience and willing to learn about the unique blend of robotics, software engineering, automation and networking we have. We do value teamwork, openness, transparency, respect and courage, playing together in a fully Agile environment.
Responsibilities
Contribute to the software design, development & test activities, with particular focus on the EDGE side, that is for what concerns embedded software running on vehicles and other devices.
Collaborate with engineers, scrum masters and product owners to ruthlessly deliver value to our customers
Help building and maintaining the holistic view of the system, keep technical documentation up to date, contribute to internal training sessions delivery
Required Qualifications
Master Degree in software/computer science/automation engineering or equivalent




8+ years of working experience in the software engineering space, in particular for what regards industrial automation, autonomous vehicles, robotic, embedded systems.
Deep Knowledge of software design patterns and OOP/OOD methodologies, data structures & algorithms, concurrent programming
Real working experience with Real Time programming & RTOS systems
5+ years of working experience with C++ on Windows and Linux environments.
3+ years of working experience with .Net Core/C#
Knowledge of the various networking technologies / protocols, such as MQTT, OPC-UA, EtherCat, Profinet, etc
Hands on with Git & Git-flow
Fluent English
Preferred Qualifications
Knowledge of Linux OS internals & CLI/shell etc
Experience with APIs design and programming
Working experience with various PLC systems
Knowledge of devops related technologies, scripting, CI/CD infrastructures & pipelines
Who you are
An excellent team player, able to effectively coll

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