Artificial Intelligence Space Engineer
Pubblicato il 25-09-2026 - Thales in Roma
A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering, for more than 40 years, high-tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators), therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.
Possiede le competenze per ricoprire questo ruolo? Legga i dettagli completi qui sotto e invii la sua candidatura oggi stesso.
We are looking for an Artificial Intelligence Engineering
CANDIDATES THAT WOULD IMPRESS US: You graduated from an Engineering School with a master’s degree – a PhD is a plus
You are a student OR/AND you have already occupied one or more positions among the following: Algorithm or Software Engineer, Artificial Intelligence Engineer
You are curious and willing to stay abreast of the latest trends (technical, philosophical,
ethical by design)
You enjoy thinking "outside the box" and use your creativity to address complex challenges
You are recognised as a team player and promote collaborative work
You are user centric and want to design components accordingly
COMPETENCIES:
- You have in-depth knowledge in mathematics, algorithms, experiment plan, continuous iterations and Agility
- You are proficient in one of the following Artificial Intelligence Approaches:
- Data driven AI, Symbolic AI, Hybrid AI on the Solution
- Symbolic Artificial Intelligence and reasoning
- Human/machine dialog
- Systems Analysis
- You understand the norms, laws and standards
- You have knowledge of cybersecurity
- You can confidently discuss with people from different jobs and background
- You master foundational concepts in mathematics/ statistics science and their application to deploy them on Solution studies: statistical modelling, line