Leonardo · Roma - Via Tiburtina, 965, Italy

Job Description: Leonardo is a global industrial group, among the main global players in Aerospace, Defence and Security that realises multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. Within Leonardo's Space Division, e-GEOS , an ASI (20%) and Telespazio (80%) company, is one of the leading international operators in the Earth Observation and geospatial information sector and offers a unique portfolio of application services. We're expanding our Generative AI capabilities around next-generation Earth Observation (EO) applications, combining Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Geospatial Foundation Models (GFMs) and agent-based workflows to transform how users access, analyse and interact with Earth Observation data, products and geo-information. Within the " Chief Technological Innovation Office " organizational unit at the Rome office we are looking for a resource to cover the position of Generative AI Engineer to help design, evaluate and implement AI-powered applications that integrate satellite imagery, geospatial datasets, technical documentation, environmental reports and operational knowledge into intelligent user experiences and decision-support systems. The role focuses on the design and implementation of production-oriented AI applications rather than foundational model research. You will work alongside software engineers, remote sensing scientists and domain experts to develop retrieval systems, AI copilots, agentic workflows and automated reasoning capabilities that leverage both structured and unstructured geospatial information. You'll be based in Rome and report to the reference technical lead, who will mentor you as you grow toward increasing ownership of our Generative AI architecture and AI-enabled products. There is a clear path toward technical ownership of our Earth Observation Generative AI stack. What you'll do Analyse, evaluate and implement state-of-the-art multi-modal and generative architectures applicable for Earth observation problems: data retrieval, preparation, model development, fine-tuning and evaluation pipelines. Design and implement Generative AI applications for Earth Observation and geospatial intelligence use cases based on cross-modal / multi-modal techniques, such as text-based object detection, visual question answering and image-text retrieval over satellite imagery. Integrate and exploit Large Language Models (LLMs) for agentic workflow execution and orchestrating multiple LLMs, Geospatial Foundation Models (GFMs), embeddings, and agents for report generation, environmental monitoring and alerting. Design and implement Knowledge Graphs of EO entities (sensors, missions, geographic features, products) for feasibility analysis and to ground LLM outputs in verified domain data. Develop Retrieval-Augmented Generation (RAG) solutions that combine Large Language Models with geospatial knowledge repositories, technical documentation, environmental datasets and operational information sources. Build agentic EO pipelines: route queries, break down tasks, call backends for data ingestion, preprocessing, chunking, metadata enrichment, indexing pipelines for structured and unstructured geospatial contents and return coherent answers. Design retrieval architectures leveraging embeddings, semantic search, hybrid search and reranking techniques. Integrate heterogeneous information sources including satellite imagery, metadata, STAC catalogues, geospatial datasets, reports, documentation, environmental observations, operational records into joint training and inference workflows. Design and orchestrate agent-based workflows combining LLMs, Geospatial Foundation Models, APIs, external tools and reasoning frameworks. Develop AI-powered assistants, copilots and automated workflows supporting environmental monitoring, geospatial analysis, report generation and operational decision-making. Experiment with fusion strategies and joint embedding spaces, benchmarking alternatives against project requirements and identifying accuracy, robustness, or cost trade-offs. Evaluate and benchmark retrieval quality, grounding accuracy, answer relevance, hallucination risk, latency and infrastructure costs. Implement prompt engineering, evaluation frameworks and testing methodologies to improve reliability and usability of AI solutions. Explore and evaluate emerging technologies, models and frameworks related to Generative AI, AI agents, reasoning systems and knowledge-augmented applications. Collaborate with platform engineers to transition prototypes into scalable, secure and production-grade services. Work closely with remote sensing scientists and domain experts to translate operational requirements into AI-enabled capabilities. Draft and review technical documentation, architectural specifications, design decisions and presentations for technical and non-technical audiences. Skills Master's degree in Engineering, Computer Science, Artificial Intelligence, Mathematics, Physics, Data Science or a related discipline; preference may be given to candidates holding a PhD. What we offer Our collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti" Working mode: Hybrid Contract category: Clerk Contractual type: 12-month fixed term Thirteenth month; Reward related to Business results; Welfare vouchers; Ticket of 8.50 euros Opportunities for training and continuous updating of professional skills and soft skills; Well-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs. Seniority: Junior Primary Location: IT - Roma - Via Tiburtina, 965 Contract Type: Fixed term Total Base Pay Range: 35 - 44K€ Hybrid Working: Hybrid

STMicroelectronics · Agrate Brianza, IT

OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world. Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential. Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you. ABOUT THE PROJECT Speech captured with body-conduction sensors is particularly attractive for wearable applications because it can remain usable in noisy environments and when conventional microphones are not practical. However, this type of signal is typically bandwidth-limited and less intelligible than air-conducted speech, and it often requires speech enhancement to recover both intelligibility and perceived quality. Recent deep learning approaches have shown strong potential for bandwidth extension and speech enhancement, but there is still room to improve both performance and efficiency, especially for wearable and resource-constrained scenarios. In this internship, the student will work within an R&D team on research aimed at advancing our current speech enhancement work for body-conducted speech. The starting point will be our existing solution, but the objective is broader: to explore new architectures, training strategies, or learning paradigms that can further push the state of the art in bone-conducted speech enhancement. YOUR ROLE * You contribute to the research and development of a speech enhancement solution for body-conducted speech, with the goal of improving and extending our current approach. * You take part in investigating alternative model architectures, training strategies, and conditioning methods, and in evaluating their impact on speech quality and intelligibility. * You contribute to the implementation of the AI pipeline in Python, including data processing, training, validation, and experimental analysis. YOUR SKILLS & EXPERIENCES * The candidate is currently pursuing, or has recently completed, a Master’s degree in Computer Science, Computer Engineering, Electronic Engineering, Signal Processing, or a related technical field * Strong programming skills in Python * Good experience with PyTorch or another major deep learning framework * In-depth knowledge of digital signal processing * Strong interest in speech processing and audio AI * Experience working with audio signals is a plus * Familiarity with speech enhancement, bandwidth extension, or related tasks is a plus ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.

Leonardo · Torino - C.so Francia, Italy

Job Description: Leonardo è un gruppo industriale internazionale che realizza capacità tecnologiche multidominio in ambito Aerospazio, Difesa & Sicurezza. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una significativa presenza industriale in Italia, Regno Unito, Polonia, e Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici internazionali è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. Innovazione, ricerca continua, digitalizzazione e sostenibilità sono i pilastri del suo business nel mondo. All'interno della Divisine aeronautica , nella B.U. Velivoli , nella U.O. Engineering Transformation Chief Engineering stiamo ricercando un/a Data Scientist per la sede di Torino. Il/la candidato/a dovrà essere in grado di svolgere le attività di competenza dell’unità Artificial Intelligence, Special Projects & Virtual Engineering, in particolare: Integrazione di modelli di linguaggio open-source in pipeline di RAG per consultazione database Creazione di workflow con agenti per automazione processi Operazioni di gestione database e data engineering Requisiti Titolo di studio: Laurea Magistrale in Ingegneria Informatica, indirizzo Data Science Livello di esperienza richiesto (junior, expert, senior, master) Junior/expert Competenze tecniche: Esperienza con modelli di linguaggio open-source LLM Esperienza con sviluppo e implementazione di workflow multi-agenti Esperienza con gestione e mantenimento database (in particolare vettoriali) Gradita esperienza con ambienti cloud (Docker, Kubernetes, Kubeflow) Gradita esperienza con front-end (in particolare React) Gradita esperienza con modelli deep-learning predittivi Competenze comportamentali: Persona proattiva, con buone doti organizzative e capacità di lavorare in autonomia relativamente agli aspetti di competenza, con attitudine al lavoro in team, anche multi-nazionali, e capacità di interfacciarsi con altre figure aziendali. Conoscenze linguistiche: Ottima conoscenza dell’inglese Conoscenze Informatiche: Ottima conoscenza di Python Ottima conoscenza di Git Ottima conoscenza di database (SQL, noSQL, Vector DB) Gradita conoscenza di suite MS Office Gradita conoscenza di React Gradita conoscenza di Matlab/Simulink/Stateflow Gradita conoscenza dei linguaggi di programmazione C/C++ Altro ( es. Disponibilità a trasferte/Certificazioni specifiche richieste….): Disponibilità a trasferte sia brevi che di media durata sia su territorio nazionale che all’estero Cosa Offriamo: Coinvolgimento, valorizzazione delle competenze , cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante , promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità . Cosa offriamo? Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti; Modalità di lavoro: Ibrida; Categoria contrattuale: Impiegato; Tipologia contrattuale: tempo indeterminato; Range retributivo: €32.731,92 - €43.000 Tredicesima mensilità; Premialità legata ai risultati di Business; Buoni Welfare dal valore di 250 euro annui; Mensa Aziendale; Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente. Il processo di Selezione: Aspettiamo la tua candidatura: inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. Come funziona il processo di selezione? A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Seniority: Primary Location: IT - Torino - C.so Francia Additional Locations: Contract Type: Permanent Hybrid Working:

STMicroelectronics · Greater Noida, IN

OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world. Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential. Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you. YOUR ROLE We are building next-generation Edge AI systems that bring powerful machine learning capabilities directly onto embedded and resource-constrained devices. Our team works at the intersection of deep learning, systems optimization, and real-world deployment across mobile, robotics, IoT, automotive, and smart devices. We are looking for a Deep Learning Engineer with strong expertise in model optimization, quantization, and deployment for edge inference. As a Deep Learning Engineer focused on Edge AI, you will optimize and deploy state-of-the-art deep learning models for low-latency, low-power environments. You will work closely with ML researchers, embedded engineers, and platform teams to convert large-scale models into efficient production-ready systems running on ST platforms. This role is ideal for someone passionate about squeezing maximum performance from neural networks while maintaining model accuracy. YOUR SKILLS & EXPERIENCES * Post-secondary education in a related field. * Strong working knowledge of deep learning, and experience utilizing theoretical and empirical research to solve real-world problems especially in the field of Computer Vision. * Must have hand on experience with PyTorch. * Must have at least 3 years of industry experience with Python, C/C++ coding or other high-level languages. * Experience building systems based on machine learning and/or deep learning. * Understanding of low-level implementation of neural networks. * Experience of compression techniques like Pruning, Quantization etc. * Experience with GitHub, CI/CD and Linux-based development environments. ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.