Artificial Intelligence Space Engineer
Pubblicato il 26-08-2026 - Thales in Italia
Artificial Intelligence Engineer
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We are looking for an Artificial Intelligence Engineer to design and develop trustworthy AI components for various domains at Thales Alenia Space.
Responsibilities
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- Design and develop trustworthy artificial intelligence components for various domains.
- Identify the right cutting‑edge AI technologies (machine learning, symbolic AI, dialogue) and develop components accordingly.
- Work on Natural Language Processing (NLP) and Natural Language Understanding (NLU) and design multimodal approaches for Human‑Machine Dialog including intention understanding, reasoning and hybrid AI.
- Work on Machine Learning, causality vs. correlation, and other data‑driven AI techniques such as Random Forest, Evolutionary Algorithms, etc.
- Work on Symbolic AI, Ontology, Semantic Web, Knowledge‑based Reasoning, Meta‑heuristics, Problem Solving, Operations Research, Decision Making and reasoning.
- Propose and design approach alternatives.
- Integrate scientific method into engineering system methodology.
- Ensure data knowledge and traceability.
- Ensure continuous technowatch and keep aware of the latest trends (technical, philosophical, ethical by design).
- Define system capabilities through functional, logical and value analysis, describing functions to meet real user needs across scenarios and maximise product value for the customer.
Qualifications
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- Graduated from an engineering school with a master’s degree (PhD is a plus).
- Experience ranging from junior to advanced; can be a student or have held positions such as Algorithm or Software Engineer, Artificial Intelligence Engineer.
- Strong knowledge in mathematics, algorithms, experiment planning, continuous iterations and agility.
- Proficient in one of the following AI approaches: data‑driven AI, symbolic AI, hybrid AI, symbolic AI and reasoning, human/machine dialog, systems analysis.
- Understanding of norms, laws and standards.
- Knowledge of cybersecurity.
- Ability to communicate confidently with people from different backgrounds.
- Mastery of foundational math/statistics concepts and their application to solution studies, e.g., statistical modelling, linear algebra, optimisation, machine learning.
Nice to Have
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- Working experience on major satellite Earth Observation and Navigation systems.
- Simulation using tools such as Matlab & Simulink.
- Adoption of modern Agile and DevOps processes.
- Knowledge of data analysis and big data technologies.
- Knowledge of cloud technologies and architectures.
- Knowledge of edge technologies.
- Knowledge of object‑oriented programming, especially Python (PyTorch), Java, C ++ and relevant data science packages (numpy, scipy, scikit‑learn, pandas, etc.).
- Good knowledge of operating systems.
Experience & Compensation
Permanent. xysqume Experience: 1-7 Years.
Salary: €35,884.96 – €43,126.00 plus performance premio up to €4,025.
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