Leonardo · Roma - Via Faustiniana, Italy

Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multi-dominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno della Divisione Spazio , nell'area Science, Space Exploration, Logistics Infrastructures & Services della U.O. Technology, Innovation & Systems Architecture stiamo ricercando un/a In Orbit Services Engineer per la nostra sede di Roma - Via Faustiniana . La persona conosce le architetture dei ingegneria spaziale, architetture di sistemi spaziali e/o robotica applicata allo spazio ed è in grado di seguirne l’iter progettuale fino alla fase realizzativa. Svolge analisi di missione anche attraverso simulazioni. Segue e gestisce l'esecuzione di progetti di studio, specifiche e sviluppo di sistemi spaziali per l’esplorazione dello spazio. Titolo di studio : Laurea Magistrale in Ingegneria, Fisica e/o Dottorato di Ricerca. Livello di esperienza richiesto: Junior: 1-3 y di esperienza nel ruolo Expert: 3-5 y di esperienza nel ruolo Competenze e conoscenze tecniche: Conoscenza delle metodologie di test per la verifica e la validazione e delle principali normative e standard internazionali (NASA, ECSS, ecc.). Costituisce ulteriore valore la conoscenza di tecniche di automazione e controllo e/o intelligenza artificiale applicata alle missioni spaziali. Competenze comportamentali: Team work Comunicazione efficace Determinazione Versatilità Pensiero critico Flessibilità Competenze informatiche: Conoscenza degli strumenti di progettazione di sistemi (FEM, Satlink, Simulink e simili); Conoscenza dei principali linguaggi di programmazione (Python, C++, C, Matlab, ecc.). Conoscenze linguistiche: Inglese (liv. minimo B2); Francese (Nice to Have). Altro: Disponibilità a trasferte sia nazionali che internazionali (partecipazioni a riunioni, conferenze, congressi) 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; 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. 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: Junior Primary Location: IT - Roma - Via Faustiniana Contract Type: Permanent Total Base Pay Range: 34.000 - 43.000 Hybrid Working: Hybrid

STMicroelectronics · Zaventem, BE

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 Located in Diegem/Zaventem, we are a Software Design Center and cryptography center of excellence, specialized in developing innovative secure software solutions for authentication solutions used in everyday life, from satellite based and IoT networks to printers and smartphones. We are looking for a talented mid-level embedded software engineer with a versatile skillset to contribute to the design of state-of-the-art secure embedded software products: * Build, improve, and maintain CI pipelines for all secure software developments * Prototype and integrate AI agents to assist code generation, review, test creation, and documentation * Develop and optimize secure bare-metal embedded software for resource-constrained devices * Work closely with cryptographers, security experts, architects, and validation teams across the full product lifecycle YOUR SKILLS & EXPERIENCES * Technologies we use * Languages: C, assembly (RISC-V and ARM), Python * Version control & collaboration: Git, GitHub Enterprise * CI/CD & automation: Jenkins * Virtualization & environments: Docker, Ansible, WSL, VMware * AI tooling: GitHub Copilot, local LLMs. * Profile * You have a degree in engineering, computer science, or a related field, with around 5 years of relevant professional experience. * You have experience with or interest in multiple of the following topics: * Embedded systems architecture, development, or test * AI agents, AI coding tools and AI workflows * DevOps/DevSecOps, CI pipelines * Embedded security and cryptography * System architecture * Note that we are not looking for an expert in all these areas, but rather someone with exposure to some of them, with an ability to proactively adapt and learn. * You are autonomous, curious, proactive, and passionate about innovation and emerging technologies. * You have a continuous improvement and learning mindset. * You are a team player with good communication skills. 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 · 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 building the next generation of Earth Observation (EO) products powered by cloud-native geospatial technologies, Generative AI, knowledge retrieval systems, and intelligent automation. We are looking for a Geospatial Platform Engineer to help design, implement, and operate the software platforms that enable scalable AI and EO solutions in production. Within the Chief Technological Innovation Office organizational unit we are looking a resource to cover the position of Geospatial Platform Engineer - AI focus at the Rome office. This role is responsible for developing and operating the underlying data, platform, and integration capabilities that support modern EO applications, including Retrieval-Augmented Generation (RAG) systems, agent-based workflows, geospatial data catalogs, and cloud-native data services. You'll work closely with AI Engineers, Remote Sensing Scientists, Product Owners and external suppliers to transform prototypes into reliable, secure and scalable production services. You'll be based in Rome and report to the reference technical lead, who will mentor you as you progressively take ownership of platform design and architecture decisions. This is an early-career position with a clear growth path toward technical ownership of our cloud-native geospatial and AI platform stack. What you'll do Introduce reusable AI capabilities across e-GEOS products and platforms, including SEonSE, AWARE, MapCy, AgriGeo, brAInt and other GeoInformation Centre services. Transform existing prototypes and product-specific AI functions into secure, scalable and maintainable platform services and products. Build shared data and knowledge pipelines combining EO data, metadata, documents and operational information. Develop AI-assisted search, analysis, workflow automation, reporting and decision-support capabilities. Build and integrate REST APIs, microservices and backend components that provide access to geospatial data, AI services, metadata catalogues and operational workflows. Support deployment and operations of software and AI services on Kubernetes-based hybrid and cloud environments. Contribute to platform capabilities enabling orchestration of AI agents, RAG, Vector Database, Large Language Models (LLMs), Geospatial Foundation Models (GFMs) and external services. Develop CI/CD pipelines, automated testing frameworks and software delivery processes following DevOps and Platform Engineering principles. Collaborate with AI Engineers to transition experimental prototypes into production-grade solutions with appropriate reliability, scalability and security controls. Investigate and resolve performance bottlenecks, integration challenges and operational issues across platform components. Draft and maintain technical documentation, architecture diagrams, operational procedures and integration specifications. Contribute to evaluating emerging technologies in cloud-native geospatial computing, platform engineering, workflow orchestration and AI infrastructure. Skills Master’s degree in Software Engineering, Computer Science, Engineering, Mathematics, Physics, Geoinformatics or a related field, or equivalent experience. Up to 5 years of professional experience in software engineering, cloud platforms, geospatial applications or platform engineering activities. Solid software development skills, preferably using Python. Understanding of modern web architectures, APIs, authentication mechanisms and service-oriented or microservice-based systems. Familiarity with cloud platforms such as AWS or Azure. Familiarity with containerization technologies and Kubernetes-based deployments. Experience working with source control systems and collaborative development practices. Understanding of CI/CD concepts and modern software delivery workflows. Familiarity with DevOps and Platform Engineering principles. Ability to analyse technical problems, investigate root causes and contribute to effective solutions. Strong communication skills and ability to collaborate with engineers, scientists and external stakeholders. A proactive attitude, willingness to learn and ability to progressively take ownership of technical deliverables. Good Italian and English language skills. Nice to have Familiarity with Earth Observation, remote sensing or geospatial data management. Experience working with STAC, OGC APIs, COG, Zarr, Rasterio, GDAL, Xarray or related geospatial technologies. Familiarity with Retrieval-Augmented Generation (RAG) architectures and supporting platform components. Experience integrating vector databases such as pgvector, Qdrant, Weaviate or Milvus. Exposure to AI infrastructure, model serving platforms, inference APIs or LLM-enabled applications. Experience with workflow orchestration platforms such as Airflow, Argo Workflows or Prefect. Familiarity with GitLab, GitLab CI/CD and the Atlassian ecosystem. Awareness of cybersecurity, secure software development and cloud security best practices. Experience working with observability stacks such as Prometheus, Grafana, OpenTelemetry or similar technologies. Contributions to open-source projects or participation in geospatial, cloud or AI communities. 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 · Rousset, FR

Chez STMicroelectronics, nous sommes convaincus que la technologie est un moteur d’innovation et a un impact positif pour les entreprises, les personnes et la société. En tant qu’acteur mondial des semiconducteurs, nos technologies de pointe et nos composants électroniques sont invisibles mais au cœur du monde d’aujourd’hui. Rejoindre ST, c’est intégrer une entreprise internationale riche de plus de 115 nationalités, présente dans 40 pays, et rassemblant plus de 50 000 talents passionnés et engagés, tous unis par la volonté de créer et d’inventer la technologie de demain. Innover demande bien plus que des compétences techniques : cela nécessite des personnes inspirantes, qui savent collaborer avec respect et enthousiasme. Des collaborateurs animés par la passion, prêts à remettre en question le statu quo, à faire avancer l’innovation et à révéler leur plein potentiel. Venez vivre cette aventure avec nous et contribuez à construire un futur plus intelligent et plus durable, en alliant responsabilité et innovation. Notre technologie commence avec vous. Description : Votre rôle : L’alternant(e) soutient les activités de gestion de l'analyse des données au sein du processus de développement des technologies semi-conducteurs, dans le domaine de la qualité et de la fiabilité. Ce rôle contribue à la collecte, à l'organisation, à l'analyse et à la production de rapports. Sous supervision, L’élève ingénieur alternant(e)contribue à transformer les données brutes en informations exploitables grâce à une approche agile et analytique, en utilisant des outils d'Intelligence Artificielle le cas échéant. Ce poste vise à développer des compétences pratiques en matière de traitement des données, de rigueur des processus et d'aide à la décision axée sur la qualité, tout en participant aux initiatives d'amélioration continue. Principales responsabilités : • Contribuer à la collecte, à la validation et à la consolidation des données relatives à la qualité, à la fiabilité et aux activités de développement technologique. • Participer à la préparation de tableaux de bord, de rapports et de synthèses pour suivre la maturité technologique et la performance des processus. • Contribuer à l'identification des tendances, des anomalies et des risques potentiels dans les données grâce à une analyse structurée. • Participer à la mise à jour de la documentation relative à la gestion des risques et aux exigences de qualification. Vos compétences et votre expérience : Compétences • Connaissances de base en collecte, en gestion et organisation des données. • Intérêt pour la qualité, la fiabilité et les processus de développement technologique. • Intérêt pour l'utilisation de méthodes assistées par l'IA afin d'améliorer la productivité et la production d'informations. Expérience • Niveau d'études secondaires supérieures (après le baccalauréat), apprentissage débutant, avec des compétences analytiques et numériques de base. • Excellente maîtrise d'Excel, de la suite Microsoft Office et des outils d'IA. • Maîtrise de l'anglais professionnel. ST est fière d’être certifiée parmi les 17 entreprises mondiales « Global Top Employers 2025 » et d’être la première et unique entreprise de semi-conducteurs à recevoir cette distinction. ST a été distinguée dans ce classement grâce à sa démarche d’amélioration continue, se démarquant notamment par son engagement en matière d’éthique et d’intégrité, de sens et de valeurs, d’organisation et de gestion du changement, ainsi que par sa stratégie commerciale et ses performances. En France, ST a également obtenu la labélisation Happy Trainee 2025. Nous cultivons un environnement de travail inclusif et diversifié, où la discrimination n’a pas sa place. Notre ambition est de recruter et de fidéliser des talents reflétant la richesse des sociétés dans lesquelles nous évoluons. Nous nous engageons à l’équité dans le développement des carrières, les opportunités professionnelles et la rémunération. Chez ST, nous encourageons les candidats qui ne remplissent pas forcément tous les critères à postuler, car nous croyons en la richesse des parcours variés et offrons de réelles opportunités d’apprentissage et d’évolution. La diversité, l’équité et l’inclusion sont des valeurs fondamentales qui façonnent notre culture d’entreprise. Pour découvrir toutes nos opportunités, rendez-vous sur st.com/careers.

STMicroelectronics · Crolles, FR

Chez STMicroelectronics, nous sommes convaincus que la technologie est un moteur d’innovation et a un impact positif pour les entreprises, les personnes et la société. En tant qu’acteur mondial des semiconducteurs, nos technologies de pointe et nos composants électroniques sont invisibles mais au cœur du monde d’aujourd’hui. Rejoindre ST, c’est intégrer une entreprise internationale riche de plus de 115 nationalités, présente dans 40 pays, et rassemblant plus de 50 000 talents passionnés et engagés, tous unis par la volonté de créer et d’inventer la technologie de demain. Innover demande bien plus que des compétences techniques : cela nécessite des personnes inspirantes, qui savent collaborer avec respect et enthousiasme. Des collaborateurs animés par la passion, prêts à remettre en question le statu quo, à faire avancer l’innovation et à révéler leur plein potentiel. Venez vivre cette aventure avec nous et contribuez à construire un futur plus intelligent et plus durable, en alliant responsabilité et innovation. Notre technologie commence avec vous. Contexte Dans le cadre du développement de nouvelles technologies et de la montée en complexité des circuits intégrés, la disponibilité de modèles compacts précis et fiables pour la simulation SPICE de composants élémentaires est un enjeu clé pour la conception de circuits et leur validation. Lorsque le modèle compact d’un dispositif n’existe pas, la génération manuelle de modèles physiques est coûteuse, longue et nécessite une expertise très pointue en physique des dispositifs et modélisation numérique. L’objectif de cette thèse est d’explorer et de mettre au point une approche fondée sur l’Intelligence Artificielle permettant de générer automatiquement des modèles de dispositifs pour la simulation SPICE, en s’appuyant sur des mesures expérimentales et/ou des simulations, tout en garantissant les points suivants : * Fidélité du modèle vis-à-vis des données de référence * Interprétabilité des équations produites * Efficacité en données (peu de mesures nécessaires) * Compatibilité avec les simulateurs SPICE industriels Sujet de thèse & Objectifs Le/la doctorant(e) aura pour objectif de concevoir une chaîne complète et reproductible de génération de modèles de dispositifs pour la simulation SPICE à partir de données brutes, en explorant différentes approches avancées d’Intelligence Artificielle. Les axes de travail incluront notamment : 1. Extraction de caractéristiques & prétraitement des données * Extraction de caractéristiques robustes à partir de mesures électriques brutes. * Détection et traitement des valeurs atypiques, normalisation, segmentation des régimes de fonctionnement. * Identification des grandeurs-clés nécessaires à la description du comportement des dispositifs. 2. Apprentissage de modèles de dispositifs de type « physics-aware » / « Large Physical Models » * Conception de modèles de Machine Learning / Deep Learning capables de représenter le comportement de dispositifs électroniques à partir de données (mesures ou simulations). * Développement de « Large Physical Models », intégrant autant que possible des contraintes et connaissances physiques (monotonies, symétries, bornes, lois d’échelle, régimes de fonctionnement, dépendances température / process, etc.). * Utilisation de ces modèles IA comme représentations numériques du dispositif, pouvant servir de référence ou de substituts vis-à-vis de modèles existants. 3. Génération de modèles de dispositifs sous forme d’équations * Exploration de plusieurs approches pour dériver des modèles de dispositifs sous forme d’équations ou de systèmes d’équations à partir des modèles IA : * méthodes d’analyse et d’approximation pour extraire des relations mathématiques ou physiques, * régression symbolique pour proposer des équations interprétables, * méthodes hybrides combinant des blocs neuronaux structurés et des blocs analytiques, * génération assistée de structures de modèles et de code de description de dispositifs (par exemple en langage Verilog-A ou équivalents). * Mise en place de contraintes et de tests pour garantir que les modèles obtenus soient : * cohérents avec la physique du dispositif, * interprétables par les experts en modélisation, * compatibles avec une intégration dans les flux de simulation SPICE. 4. Intégration dans les flux de simulation SPICE et validation * Intégration des modèles de dispositifs obtenus dans des simulateurs SPICE (Eldo, Spectre, Ngspice, etc.) via des formats appropriés. * Validation des modèles au moyen de comparaisons : * données expérimentales ou de référence, * modèles existants, * cas tests au niveau dispositif et circuit. * Analyse de la robustesse numérique, des régimes de validité, et de la capacité des modèles à capturer les effets importants pour la conception. 5. Extension aux blocs de circuit élémentaires * Application de l’approche d’abord à des dispositifs élémentaires (transistors, diodes, etc.), puis à de petits blocs de circuit : * inverseur, * cellules logiques (standard cells) simples, * paire différentielle, * amplificateur, etc. * Étude de la capacité des modèles de dispositifs issus de l’IA à supporter des simulations de circuits réels et à restituer les phénomènes pertinents. Aspects innovants * Développement de « Large Physical Models » basés sur des techniques d’IA pour représenter le comportement de dispositifs électroniques à partir de données, en intégrant explicitement des contraintes et des connaissances « physics-aware ». * Exploration d’un large éventail de techniques IA (modèles neuronaux, modèles hybrides, régression symbolique, méthodes d’extraction de lois, génération assistée de modèles/code, etc.) pour produire des modèles de dispositifs. * Construction d’un pipeline automatisé transformant des données de mesure ou de simulation en modèles de dispositifs utilisables dans les environnements SPICE. Profil recherché Formation * Diplôme d’ingénieur ou Master 2 en : * informatique, mathématiques appliquées, intelligence artificielle, data science, * ou disciplines proches avec forte dominante Machine Learning / Deep Learning. Une formation ou des cours en microélectronique, physique des semi-conducteurs ou modélisation de dispositifs constitue un plus apprécié, mais n’est pas indispensable si la motivation pour monter en compétence sur ces aspects est forte. Compétences techniques souhaitées Compétences principales – Machine Learning / IA : * Excellente maîtrise de Python et des bibliothèques data/ML : * NumPy, SciPy, pandas, scikit-learn. * Pratique solide d’au moins un framework Deep Learning : * PyTorch ou TensorFlow (conception, entraînement, évaluation de modèles). * Connaissances en : * apprentissage supervisé / non supervisé, * réseaux neuronaux profonds (MLP, CNN, autoencodeurs, etc.), * optimisation (SGD, Adam, régularisation, validation croisée, etc.). * Intérêt marqué pour la modélisation de systèmes physiques par IA (physics-aware / physics-informed ML, surrogate modeling). Compétences complémentaires – Microélectronique & modélisation (atouts) : * Notions en : * physique des dispositifs électroniques (MOSFET, diodes, BJTs, etc.), * circuits analogiques / mixtes. * Connaissance de base des simulateurs SPICE (Eldo, Spectre, Ngspice ou équivalents) ou volonté claire de se former sur ces outils. * Un plus : * expérience avec des modèles de dispositifs (BSIM ou autres), * modélisation en langage Verilog-A / VHDL-AMS, * utilisation d’outils de TCAD. Bonus / appréciés : * Intérêt ou première expérience avec : * techniques de régression symbolique (PySR, Operon, AI Feynman, etc.), * méthodes de génération ou d’assistance à la génération de code scientifique / technique, * méthodes de modélisation ou d’approximation de systèmes non linéaires complexes. * Expérience préalable de projet de recherche (stage long, mémoire de Master 2, publication scientifique). ENGLISH VERSION PhD subject: Automatic Generation of SPICE Models Using Artificial Intelligence Techniques Context In the context of new technology development and the increasing complexity of integrated circuits, the availability of accurate and reliable compact models for SPICE simulation is a key enabler for circuit design and validation. When a compact model for a given device does not exist, manual development of physical models is costly, time‑consuming, and requires deep expertise in device physics and numerical modeling. The goal of this PhD is to explore and develop an Artificial Intelligence–based approach to automatically generate device models for SPICE simulation, using experimental measurements and/or simulations, while ensuring: * High consistency of the model with respect to reference data * Interpretability of the resulting equations * Data efficiency (limited number of measurements required) * Compatibility with industrial SPICE simulators PhD Topic & Objectives The PhD candidate will aim to design a complete and reproducible pipeline for generating device models for SPICE simulation from raw data, exploring various advanced Artificial Intelligence approaches. The main work directions include: 1. Feature extraction & data preprocessing * Extract robust features from raw electrical measurements. * Detect and handle outliers, perform normalization, and segment operating regions. * Identify key quantities required to describe device behavior. 2. Learning physics‑aware device models / Large Physical Models * Design Machine Learning / Deep Learning models capable of representing the behavior of electronic devices from data (measurements or simulations). * Develop Large Physical Models, integrating as much as possible physical constraints and prior knowledge (monotonicity, symmetries, bounds, scaling laws, operating regions, temperature / process dependencies, etc.). * Use these AI models as numerical representations of the device, which can serve as reference or surrogate models with respect to existing models. 3. Generation of device models in the form of equations * Explore various approaches to derive device models in the form of equations or systems of equations from AI models, including: * analysis and approximation techniques to extract mathematical or physical relationships, * symbolic regression to propose interpretable equations, * hybrid methods combining structured neural blocks and analytical blocks, * assisted generation of model structures and device description code (e.g. in Verilog-A language or equivalents). * Define constraints and tests to ensure that the resulting models are: * consistent with device physics, * interpretable by modeling experts, * compatible with integration in SPICE simulation flows. 4. Integration into SPICE simulation flows and validation * Integrate the obtained device models into SPICE simulators (Eldo, Spectre, Ngspice, etc.) using appropriate formats. * Validate the models through comparisons with: * experimental or reference data, * existing models, * test cases at device and circuit level. * Analyze numerical robustness, validity ranges, and the ability of the models to capture effects that are critical for circuit design. 5. Extension to elementary circuit blocks * First apply the approach to elementary devices (transistors, diodes, etc.), then to small circuit blocks such as: * inverter, * simple standard cells, * differential pair, * amplifier, etc. * Study the ability of AI‑derived device models to support realistic circuit simulations and reproduce relevant phenomena. Innovative Aspects * Development of Large Physical Models based on AI techniques to represent the behavior of electronic devices from data, explicitly integrating physics‑aware constraints and knowledge. * Exploration of a broad spectrum of AI techniques (neural models, hybrid models, symbolic regression, law‑extraction methods, assisted model/code generation, etc.) to produce device models in the form of mathematical or physical equations. * Construction of an automated pipeline that transforms measurement or simulation data into device models usable in SPICE environments. Candidate Profile Education * Engineering degree or Master’s degree in: * Computer Science, Applied Mathematics, Artificial Intelligence, Data Science, * or related fields with a strong Machine Learning / Deep Learning component. Coursework or background in microelectronics, semiconductor device physics or device modeling is a valued plus, but not mandatory, provided the candidate is strongly motivated to build skills in these areas. Desired Technical Skills Core skills – Machine Learning / AI: * Strong proficiency in Python and data/ML libraries: * NumPy, SciPy, pandas, scikit-learn. * Solid practical experience with at least one Deep Learning framework: * PyTorch or TensorFlow (model design, training, evaluation). * Knowledge of: * supervised / unsupervised learning, * deep neural networks (MLP, CNN, autoencoders, etc.), * optimization (SGD, Adam, regularization, cross‑validation, etc.). * Strong interest in AI-based modeling of physical systems (physics‑aware / physics‑informed ML, surrogate modeling). Complementary skills – Microelectronics & modeling (nice to have): * Basic knowledge of: * electronic device physics (MOSFET, diodes, BJTs, etc.), * analog / mixed‑signal circuits. * Basic familiarity with SPICE simulators (Eldo, Spectre, Ngspice, etc.) or a clear willingness to learn these tools. * Additional plus: * experience with device models (BSIM or others), * modeling using Verilog-A / VHDL‑AMS languages, * using TCAD tools. Bonus / appreciated: * Interest or initial experience with: * symbolic regression techniques (PySR, Operon, AI Feynman, etc.), * methods for generation or assisted generation of scientific / technical code, * modeling or approximation of complex nonlinear systems. * Prior research experience (long internship, Master’s thesis, scientific publication). ST est fière d’être certifiée parmi les 17 entreprises mondiales « Global Top Employers 2025 » et d’être la première et unique entreprise de semi-conducteurs à recevoir cette distinction. ST a été distinguée dans ce classement grâce à sa démarche d’amélioration continue, se démarquant notamment par son engagement en matière d’éthique et d’intégrité, de sens et de valeurs, d’organisation et de gestion du changement, ainsi que par sa stratégie commerciale et ses performances. En France, ST a également obtenu la labélisation Happy Trainee 2025. Nous cultivons un environnement de travail inclusif et diversifié, où la discrimination n’a pas sa place. Notre ambition est de recruter et de fidéliser des talents reflétant la richesse des sociétés dans lesquelles nous évoluons. Nous nous engageons à l’équité dans le développement des carrières, les opportunités professionnelles et la rémunération. Chez ST, nous encourageons les candidats qui ne remplissent pas forcément tous les critères à postuler, car nous croyons en la richesse des parcours variés et offrons de réelles opportunités d’apprentissage et d’évolution. La diversité, l’équité et l’inclusion sont des valeurs fondamentales qui façonnent notre culture d’entreprise. Pour découvrir toutes nos opportunités, rendez-vous sur st.com/careers.

Leonardo · Roma - Via Tiburtina KM12,400, Italy

Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida p resenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’Area di Business Electronics stiamo cercando un/a AI, Data Analytics & Intelligent Automation Engineer per la nostra sede di Roma Tiburtina 12 , 400. La persona si occuperà principalmente delle seguenti attività: Analizzare, progettare e implementare soluzioni di Data Analytics a supporto dei processi aziendali, coprendo aspetti di raccolta, modellazione, qualità, governance e valorizzazione del dato. Progettare e sviluppare dashboard, reportistica avanzata e viste analitiche mediante strumenti commerciali e soluzioni custom. Definire architetture e modelli dati per supportare processi decisionali e iniziative di digital transformation. Progettare e implementare workflow di automazione tramite piattaforme low-code/no-code e strumenti OOTB, con particolare riferimento all’ecosistema Microsoft. Analizzare processi aziendali e identificare opportunità di efficientamento attraverso l’automazione intelligente. Disegnare, sviluppare e governare agenti basati su genAI utilizzando Microsoft Copilot Studio e framework di sviluppo AI avanzati. Realizzare integrazioni tra sistemi aziendali, piattaforme dati, servizi cloud e soluzioni di GenAI. Collaborare con stakeholder tecnici e funzionali per identificare requisiti, casi d’uso e metriche di successo delle soluzioni implementate. Titoli di studio: Laurea triennale o magistrale in Ingegneria Informatica, Informatica, Ingegneria Gestionale, Data Science, Matematica, Statistica o discipline STEM affini. Seniority : Junior Conoscenze e competenze tecniche : Progettazione e implementazione di soluzioni di Data Analytics e Business Intelligence. Data Modeling, Data Governance, Data Quality e Data Management. Progettazione di dashboard e reportistica direzionale e operativa. Esperienza nell’analisi funzionale e tecnica dei requisiti. Conoscenza delle principali architetture dati cloud e on-premise. Esperienza nello sviluppo di workflow di automazione tramite piattaforme low-code/no-code. Conoscenza dei principi di Process Automation e Intelligent Automation. Esperienza nella progettazione e implementazione di soluzioni di Generative AI. Utilizzo di Microsoft Copilot Studio, Azure AI Services e framework per lo sviluppo di agenti AI (es. LangChain o equivalenti). Conoscenza di tecniche di Prompt Engineering, Retrieval-Augmented Generation (RAG) e orchestrazione di agenti AI. Conoscenza delle tematiche di AI Governance, Responsible AI e sicurezza del dato. Competenze comportamentali : Proattività. Capacità di lavorare in gruppo. Attitudine al problem solving. Flessibilità nell'occuparsi di argomenti al di fuori del proprio dominio di competenza. Capacità di gestire contemporaneamente iniziative progettuali differenti. Orientamento all’innovazione e al miglioramento continuo. Ottime capacità comunicative e relazionali verso inte rlocutori tecnici e non tecnici . Conoscenze linguistiche : Buona conoscenza della lingua inglese (B2 ) Competenze informati che : Microsoft Power BI. Microsoft Fabric. Microsoft Power Platform (Power Automate, Power Apps). Microsoft Copilot Studio. Azure Data Services e Azure AI Services. SQL e linguaggi di interrogazione dati. Python. Framework AI quali LangChain, LangGraph o equivalenti. Strumenti di versioning e collaborazione (Git, Azure DevOps o equivalenti). Altro : La/il candidata/o ideale offre la propria disponibilità ad effettuare trasferte di breve/media durata, dopo adeguato training on the job, in Italia e/o all’estero. 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; Retribuzione annua lorda (RAL)/ range retributivo: €32.731,92 - €40.000 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. 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 - Roma - Via Tiburtina KM12,400 Additional Locations: Contract Type: Permanent Hybrid Working:

Nozomi Networks · United States

Now is an amazing time to join Nozomi Networks as we build the future of OT and IoT cybersecurity. We defend some of the world’s largest organizations and critical infrastructure in more than 68 countries and we’re just getting started. Our AI-powered cybersecurity platform secures operational technology (OT) and Internet of Things (IoT) infrastructures for enterprises and government entities across energy, manufacturing, transportation, resources, and critical infrastructure. The Digital Program Manager is responsible for designing, executing, and optimizing Nozomi Networks' digital customer success strategy. This role drives scalable customer engagement through AI-powered automation, lifecycle campaigns, digital content, customer education, and cross-functional program management. The individual will leverage Planhat and other platforms to improve adoption, retention, value realization, renewals, advocacy, and expansion opportunities across the customer lifecycle. If this sounds like you, read on. You could be the next “Nozomier”! In this role, you will: Design and manage digital customer journeys across onboarding, adoption, value realization, renewal, loyalty, and advocacy stages. Own the execution and optimization of digital touch programs using Planhat and related platforms. Build automated customer campaigns, success plays, lifecycle communications, and customer engagement workflows. Leverage AI tools to create personalized customer experiences, content, insights, and operational efficiencies. Coordinate webinars, office hours, customer education programs, and digital events. Partner with Marketing and Subject Matter Experts to develop customer-facing content, campaigns, customer stories, and advocacy initiatives. Partner with Product Marketing and Product Management to support feature adoption and product launches. Monitor campaign performance and customer engagement metrics and deliver executive reporting. Identify customer health signals, adoption trends, churn risks, and expansion opportunities through digital programs. Drive continuous improvement of customer engagement through testing, analytics, and optimization   To be successful in this opportunity, you will have: 5+ years of experience in Customer Success, Lifecycle Marketing, Digital Programs, Marketing Operations, or related fields. Experience with Planhat, HubSpot, Marketo, Salesforce, or similar platforms. Strong program and project management skills. Experience building and executing automated customer lifecycle campaigns. Strong analytical and communication skills. Experience in SaaS, Cybersecurity, OT/ICS Security, or B2B technology preferred. Experience leveraging AI tools to improve customer engagement and operational efficiency preferred. Nozomi Networks is committed to fair and equitable compensation practices. The base pay scale for this position is $98,000.00 - $132,000. This is the range the company reasonably and in good faith expects to pay for the position taking into account factors including job-related knowledge, skillset, experience, education and training, certifications, and other relevant business factors. Applications outside the range are welcome to apply. Additional Compensation and Benefits : The company also offers a wide range of competitive benefits, including medical, dental, vision, life insurance, and disability insurance for eligible employees.  The successful candidate may also be eligible to participate in the company’s equity program and/or variable bonus program, subject to the rules governing such programs. In addition, eligible employees are able to enroll in a 401(k) plan along with the employer matching program. Nozomi Networks also offers eligible employees flexible paid time off, paid holidays and paid parental leave. #LI-AF1 #LI-Remote Who we are and what we stand for: Nozomi Networks is the leader in OT and IoT Cybersecurity. We protect the world's critical infrastructure, industrial and government organizations from cyber threats by providing exceptional network visibility, threat detection and operational insight. We’re always innovating and we hire the best at what they do to ensure our customers always have access to fast product enhancements, exceptional engineering support and rapid deployment across continents. If you like a challenge, and value integrity and customer success, we invite you to help Nozomi Networks build the future of OT and IoT cybersecurity. Diversity, Inclusion and Belonging are part of our core beliefs, at Nozomi Networks. Diversity of thought, background and culture broadens our knowledge of the world and helps us learn, grow, and gain new perspectives. What makes us all different is what makes us powerful. Our Global Benefits All of our benefits are customized to the country you are based in, naturally we want to get the best out of our Nozomiers, so we provide the best benefits packages, such as: Health & Wellness Financial Work-Life Balance Unparalleled Flexible Time-Off Need to know information Successful candidates will be subjected to background verification checks. Be cautious of unsolicited messages, fake email addresses, requests for money and unclear job descriptions. Report suspicious activity to authorities. Our open job opportunities and descriptions are posted on Nozomi Networks' career page. If in any doubt please apply for opportunities on our careers website here . If you would like to know more about our Privacy Policy, please click here . Any questions about how we process personal information, or if you would like help exercising your privacy rights please contact us using the email provided within the Privacy Policy.

STMicroelectronics · Crolles, FR

Chez STMicroelectronics, nous sommes convaincus que la technologie est un moteur d’innovation et a un impact positif pour les entreprises, les personnes et la société. En tant qu’acteur mondial des semiconducteurs, nos technologies de pointe et nos composants électroniques sont invisibles mais au cœur du monde d’aujourd’hui. Rejoindre ST, c’est intégrer une entreprise internationale riche de plus de 115 nationalités, présente dans 40 pays, et rassemblant plus de 50 000 talents passionnés et engagés, tous unis par la volonté de créer et d’inventer la technologie de demain. Innover demande bien plus que des compétences techniques : cela nécessite des personnes inspirantes, qui savent collaborer avec respect et enthousiasme. Des collaborateurs animés par la passion, prêts à remettre en question le statu quo, à faire avancer l’innovation et à révéler leur plein potentiel. Venez vivre cette aventure avec nous et contribuez à construire un futur plus intelligent et plus durable, en alliant responsabilité et innovation. Notre technologie commence avec vous. L’apprenti(e) contribuera à la simulation optique et à l’analyse de pixels, avec un focus principal sur l’évaluation, le benchmark et la sélection d’outils d’IA disponibles sur le marché. Ces outils pourront soutenir les activités de modélisation, conception, optimisation et analyse de données dans un contexte industriel de R&D. L’objectif de cette alternance est de contribuer à la construction d’une compréhension structurée du comportement optique des pixels, tout en identifiant les solutions basées sur l’IA les plus pertinentes pour améliorer les futurs flux de développement. Principales missions: • Réaliser des simulations optiques de structures de pixels à l’aide d’outils numériques et de calcul scientifique. • Étudier et analyser le comportement optique des pixels selon différents paramètres physiques et géométriques. • Définir des indicateurs de performance pertinents pour caractériser et comparer les résultats de simulation. • Identifier, tester et comparer des outils et plateformes d’IA disponibles sur le marché, pertinents pour la modélisation, la conception et l’optimisation optiques. • Évaluer les capacités, les points forts, limites et maturité industrielle de ces outils d’IA. • Comparer les solutions selon des critères techniques, pratiques et d’intégration. • Contribuer à la sélection des outils les plus adaptés aux besoins futurs du projet. • Préparer des synthèses techniques, des rapports comparatifs et des recommandations à destination des parties prenantes internes. A propos de vous * Étudiant(e) en école d’ingénieurs ou en formation en alternance de niveau Bachelor / Master. * Spécialisation en optique, physique, informatique, calcul scientifique, data science ou intelligence artificielle. * Intérêt pour la simulation optique de pixels et les outils d’IA. * Bonne maîtrise de Python et/ou Matlab, avec un bon niveau d’anglais. * Curieux(se), autonome, rigoureux(se), et à l’aise dans un environnement de travail international. * Dynamique, force de proposition, autonome, avec de bonnes capacités de communication. English version: The apprentice will contribute and perform optical simulation and pixel analysis, with a primary focus on evaluating, benchmarking, and selecting AI tools available on the market. These tools may support modeling, design, optimization, and data analysis activities in an industrial R&D context. The objective of this apprenticeship is to help build a structured understanding of pixel optical behavior while identifying the most relevant AI-based solutions to improve future development workflows. Main responsibilities • Perform optical simulations of pixel structures using numerical and scientific computing tools. • Study and analyze the optical behavior of pixels under varying physical and geometrical parameters. • Define relevant performance indicators to characterize and compare simulation results. • Identify, test, and compare market-available AI tools and platforms relevant to optical modeling, design, and optimization. • Assess the capabilities, strengths, limitations, and industrial readiness of these AI tools. • Compare solutions based on technical, practical, and integration-related criteria. • Contribute to the selection of the most suitable tools for the project’s future needs. • Prepare clear technical summaries, comparison reports, and recommendations for internal stakeholders. YOUR PROFILE • Student in an engineering school, or a work-study bachelor’s/master’s program. • Specialization in optics, physics, computer science, scientific computing, data science or AI. • Interest in optical simulation of pixels and AI tools. • Good command of Python/Matlab and fluency in English. • Curious, autonomous, rigorous, and enjoys working in an international team. • You show initiative and autonomy, and you have strong communication skills. ST est fière d’être certifiée parmi les 17 entreprises mondiales « Global Top Employers 2025 » et d’être la première et unique entreprise de semi-conducteurs à recevoir cette distinction. ST a été distinguée dans ce classement grâce à sa démarche d’amélioration continue, se démarquant notamment par son engagement en matière d’éthique et d’intégrité, de sens et de valeurs, d’organisation et de gestion du changement, ainsi que par sa stratégie commerciale et ses performances. En France, ST a également obtenu la labélisation Happy Trainee 2025. Nous cultivons un environnement de travail inclusif et diversifié, où la discrimination n’a pas sa place. Notre ambition est de recruter et de fidéliser des talents reflétant la richesse des sociétés dans lesquelles nous évoluons. Nous nous engageons à l’équité dans le développement des carrières, les opportunités professionnelles et la rémunération. Chez ST, nous encourageons les candidats qui ne remplissent pas forcément tous les critères à postuler, car nous croyons en la richesse des parcours variés et offrons de réelles opportunités d’apprentissage et d’évolution. La diversité, l’équité et l’inclusion sont des valeurs fondamentales qui façonnent notre culture d’entreprise. Pour découvrir toutes nos opportunités, rendez-vous sur st.com/careers.

Docebo · Toronto, Canada

Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As our Product Manager, Healthcare & Regulated Industries, you will lead Docebo’s product initiatives to elevate our platform for healthcare and regulated industry customers, making our product dominant and compelling in these key verticals. In this highly cross-domain and execution-intensive role, you will act as the single-threaded leader owning the end-to-end program lifecycle—from regulatory readiness and gap remediation through continuous platform enhancement—to directly unlock global revenue growth. You will turn complex regulatory compliance into a powerful competitive edge, collaborating tightly with Product, Engineering, Security, Legal, and Go-to-Market teams to shape the future of regulated learning. THE DAY-TO-DAY 📅 - Architect the Future: Own and orchestrate the end-to-end product feature and compliance roadmap for healthcare and regulated industries, shaping key milestones, managing cross-team dependencies, and controlling the critical path. Lead readiness assessments, gap analyses, and remediation planning to ensure timely, audit-ready execution. - Champion Compliance: Lead the end-to-end preparation and maintenance of compliance with key frameworks like FDA 21 CFR Part 11, GxP, and EU Annex 11, partnering directly with Security, Legal, and third-party auditors and assessors to ensure a smooth and successful evaluation process. Drive the effective implementation of required controls across Product, Infrastructure, and Security, and establish robust continuous monitoring processes to maintain audit readiness and ongoing compliance post-certification. - Unify the Squad: Lead cross-functional teams to deliver platform enhancements, partnering with Engineering and DevOps on infrastructure hardening while aligning with Product teams to embed compliance-by-design development practices. Engage Legal to address contractual, regulatory, and compliance implications. - Shield the Platform: Proactively identify compliance gaps and operational risks, maintain and continuously update the risk register with clear mitigation plans, and provide regular executive-level reporting on our overall posture. - Optimize and Automate: Design and implement scalable, repeatable processes for evidence gathering and documentation management, promoting automation wherever feasible and tracking key metrics like control coverage and audit remediation speed. - Accelerate the Deals: Act as the primary point of contact for healthcare and regulated initiatives, supporting GTM teams during RFPs, security reviews, and due diligence to strengthen credibility and speed up deal closure. YOUR SUPERPOWERS ⚡ - Lead the Charge: You bring 5+ years of experience working as a Program or Product Manager within an Agile SDLC environment. - Navigate the Rules: You have 3+ years of hands-on experience in healthcare or regulated industries, with deep exposure to at least one key compliance framework (FDA 21 CFR Part 11, GxP, or EU Annex 11). - Bridge the Gaps: You have a proven track record of leading complex, cross-domain programs from readiness through delivery across product, engineering, security, and legal stakeholders. - Speak to Executives: You possess exceptional communication and presentation skills, allowing you to easily conquer ambiguity and build strong alignment with both technical and non-technical audiences. - Master the Tools: You are deeply comfortable navigating fast-paced SaaS environments using tools like Jira, Confluence, and Product board to manage complex stakeholder landscapes. BONUS POINTS 🌟 - Certified Leader: You hold a PMP or similar professional project/product management certification. - Cloud & Tech Savvy: You have a strong familiarity with cloud infrastructure and SaaS platform architecture engineered specifically for regulated environments. - Industry Experience: Prior experience or deep familiarity with the EdTech space or Learning Management Systems (LMS). OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to [email protected]. The email should also include the position you’re interested in.

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 attractive for wearable devices 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 AI-based speech enhancement methods can significantly improve performance but deploying them on wearable hardware remains challenging due to strict constraints on memory, latency, compute, and power consumption. In this internship, the student will work within an R&D team on a prototype bone-conduction earbud equipped with an ST vibrometer and an STM32 microcontroller (MCU). The objective is to optimize and deploy the current AI speech enhancement pipeline so that it can run efficiently and in real time on the target embedded platform. YOUR ROLE You contribute to the development and embedded deployment of a speech enhancement solution for a prototype bone-conduction earbud equipped with an ST vibrometer and an STM32 MCU. You take part in porting the full AI pipeline to the MCU, from preprocessing to inference, by writing the firmware required for a real-time embedded implementation. You also contribute to the embedded AI optimization of the solution, including quantization and other code/model optimizations to make the application robust and efficient on target. You support the validation of the prototype on the earbud platform and help assess memory, latency, and real-time performance constraints. YOUR SKILLS & EXPERIENCES * The candidate is currently pursuing, or has recently completed, a Master’s degree in Computer Engineering, Computer Science, Electronic Engineering, or a related technical field * Programming skills in C and Python * Basic knowledge of digital signal processing and neural networks * Strong interest in embedded AI and TinyML * Experience with STM32 microcontrollers or embedded firmware development is a plus * Familiarity with quantization, model optimization, or real-time inference 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.

STMicroelectronics · Muar, MY

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 Implementing and monitoring and improving operations security infrastructure to protect systems, networks, machines and applications from cyber threats. Perform vulnerability assessments and penetration testing and simulation. Develop and maintain security policies, standards and procedures. Conduct security risk assessments and compliance audits. Automate security monitoring and incident response processes. Design and develop automation system for manufacturing equipment. Document automation processes and standards. Maintain automation tools and equipment in good condition. Develop and deploy AI and machine learning solutions to resolve manufacturing problems. Develop AI-powered automation solutions to improve operation efficiency. Evaluate emerging AI technologies and deploy suitable solutions for operations. Collaborate with manufacturing data scientist (MDS) group and equipment engineering & automation department (EEA) and maintenance engineers to deliver AI solutions for operations. Oversee and supervise all maintenance, PM and AM activities at assembly manufacturing and ensure all equipment running at their best performance standard. To define and improve Work Instructions for PM and AM activities. Managing the machine performance (OEE, MTBI, MTBF) and unscheduled down time (TUD). Coach, train and develop Technicians and Manufacturing Specialists to meet current and future business requirements. Improving equipment up time OEE, MTBI and MTBF. Ensure all maintenance staff adhere to safety policy and procedures. Oversee spare parts stocks for Preventive Maintenance and unscheduled downtime. Looking for new ways/tools/parts to improve productivity and cost. Driving and Managing improvement and automation projects related to equipment and tooling. YOUR SKILLS & EXPERIENCES Bachelor’s Degree in Engineering fields in Mechanical, Electrical, Electronics, E&E, or Mechatronics. Bachelor’s Degrees in Computer Science, Cybersecurity or related field. Minimum 2 years working experience in maintenance related fields. Fresh graduate is also encouraged to apply. Ability to work in a dynamic and fast-paced environment. Excellent leadership and management skills. Excellent problem-solving skill. Excellent communication, interpersonal skills and decision making. Knowledge in schematic diagram, pneumatics, PLC, equipment FMEA, RCM will be added advantage. 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.

Docebo · Milan, Italy

Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As our Product Designer for Content Experience, you will step onto a global stage to design the intuitive, AI-assisted workflows that power how the world's leading organizations create, manage, and discover learning content at scale. You won't just be tweaking interfaces; you will actively turn complex content operations into beautifully seamless, high-impact product experiences that make workplace learning feel like magic. Operating at the sweet spot of advanced interaction design and cutting-edge AI technology, your work will directly elevate how millions of learners build skills and grow their careers every single day. THE DAY-TO-DAY 💻 - Lead the Charge: Drive the end-to-end design for key Content product features and complex workflows, transforming them from messy problem spaces into polished, shipped realities. - Architect the Flow: Map out intricate content structures, intuitive screen transitions, and detailed product states so that content creators, reviewers, and learners always know exactly what to do next. - Partner for Impact: Collaborate closely with Product and Engineering to navigate technical constraints, align on scope, and balance design ambition with real-world implementation. - Design the AI Frontier: Craft seamless, human-in-the-loop AI workflows that empower users to generate, refine, and govern content while remaining confidently in control. - Polish to Perfection: Prototype realistic feature states and design complete edge-case experiences—from empty states and localization needs to recovery paths—ensuring high quality before a single line of code is written. - Shape the Language: Elevate our product vocabulary by designing clear labels, helper text, and feedback messaging that guide users through complex content operations effortlessly. YOUR SUPERPOWERS 🦸‍♀️ - SaaS Wizardry: Bring a proven track record of designing high-complexity B2B SaaS, enterprise content platforms, authoring systems, or AI-assisted products. - Systems Thinking: Showcase a stunning portfolio packed with complete feature flows, robust information architecture, and beautiful, implementation-ready interaction design. - Ambiguity Navigator: Demonstrate the confidence to dive into loosely defined product problems, make tradeoffs visible, and proactively pull in partners when scope expands. - State Master: Possess a meticulous eye for the details, skillfully designing for multiple user roles, permissions, error recovery, and accessible design system patterns. - Collaborative Catalyst: Excel in a highly cross-functional environment, utilizing strong communication skills to explain the "why" behind your design decisions through the lens of user value and business impact. - AI Curiosity: Bring a visible learning mindset and a passion for leveraging AI tools to accelerate research, explore concepts, and sharpen your own design craft. BONUS POINTS 🌟 - Domain Expertise: Prior experience designing enterprise LMS tools, digital asset management (DAM), multimedia content creation workflows, or HR tech. - AI Trailblazer: Past hands-on experience designing generated-output, content recommendation, or complex review and approval cycles. - Design System Champion: A history of actively contributing to shared design systems, accessibility standards, or localized content patterns. OUR INTERVIEW PROCESS 🗺️ - Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. - Step 2: A 45-60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. - Step 3: A 60 minute Deep-dive and collaborative case study session. - Step 4: Final conversation focusing on culture add, values alignment, and cross-functional collaboration. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.