Junior Robotics Engineer (San Martino Buon Albergo)

Junior Robotics Engineer (San Martino Buon Albergo)

16 set
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Reply
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San Martino Buon Albergo

16 set

Reply

San Martino Buon Albergo

Questa posizione è in Reply

Il processo di selezione sarà interamente gestito Reply.

Questa possibilità è disponibile in Torino - Italy, Silea (TV) - Italy, San Martino Buon Albergo - Italy, Roma - Italy, Milano - Italy, Padova - Italy.

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Have you recently graduated or are you at the beginning of your professional journey? Are you passionate about AI and Robotics and eager to contribute to the development of intelligent systems capable of perceiving, deciding, and acting in the real world? Join Reply WHAT YOU WILL FIND
- Design and development of intelligent robotics systems. You will contribute to the design and development of autonomous and collaborative robotics solutions, supporting the integration of software and hardware components.
- AI for perception, decision and control. You will develop models and pipelines for environmental perception, object recognition, autonomous navigation, motion planning and human-machine interaction, combining Machine Learning and decision-making logic.
- Real projects.



You will work on intelligent robotics solutions in real-world environments, with a focus on integration, reliability and software quality.
- Mentoring and coaching. You will work side by side with experienced professionals: every project represents a valuable opportunity to learn, grow, and develop your skills.

WHAT WE OFFER
- We value your talent. From day one, we offer a permanent contract or an apprenticeship contract, depending on your profile.
- A concrete recognition of your achievements. Your starting gross annual salary (RAL) will range from €25,500 to €38,500, depending on your experience, qualifications, and academic achievements. The collective labour agreement (CCNL) applied within Reply is the Italian Metalworking Industry Agreement, with an entry level between C3 and B3, determined according to the same criteria. Previous experience with cutting-edge technologies such as Quantum Computing, Physical AI, Agentic AI, Foundation Model and LLM trainin

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