Skip to content
Skillshift
2555 total roles1437 open roles14 companies tracked

13 postings · 13 open · 11 expired

Show expired
  • Docebo · Canada
    full time501-1000
    E-learningenglish

    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 a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with a pre-written playbook. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents. By translating customer challenges into reusable platform capabilities, you will play a central role in establishing our FDE function from the ground up, defining what success looks like, and shaping the future of AI-first learning. 🛠️ THE DAY-TO-DAY - Build the Blueprint: Thrive in extreme ambiguity. You won't just follow operational rituals—you'll create them. You’ll define how our FDE team operates, set internal playbooks, and figure out the technical roadmap as you navigate uncharted territory alongside our clients. - Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration. - Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub. - Drive Platform Evolution: Translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for our broader ecosystem. - Own the Product Lifecycle: Take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization. - Build the Discipline: Shape the founding FDE team culture, operational rituals, and internal playbooks while defining our technical roadmap and cross-functional org design. 💪 YOUR SUPERPOWERS - Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products. - Product-First Mindset: A strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders. - Founder Mindset & Ambiguity Tolerance: You don't wait for clear specs or structured hand-offs. You are energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one. - Rapid Prototyping Agility: Proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback. - Modern Tech Fluency: Proficiency in our core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript). - Systems Architecture: Strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers. ✨ BONUS POINTS - Agentic AI Expertise: Prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments. - Ecosystem Familiarity: Experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools. 💬 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 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 hands-on technical deep dive and architecture discussion with key stakeholders. - Step 4: A final conversation focused on culture fit, team dynamics, and cross-functional alignment. 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.

    Posted 3 days agoView details
  • STMicroelectronics · Crolles, FR
    juniorfull time10001+
    Semiconductorsfrench

    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. A propos de vos missions La fabrication des circuits CMOS nécessite l’utilisation de procédés plasma qui peuvent induire des champs électriques intenses ou une injection de charges sur les dispositifs de type transistors à effet de champs. Il peut en résulter un décalage de de la tension de seuil des transistors MOS ou la rupture du diélectrique de grilles des transistors. Ce phénomène est connu sous le terme de Plasma Induced Damage ou PID. L’objectif principal de la thèse est d’améliorer les règles de conception (règles d’antenne et diodes de protection) permettant de protéger les des circuits bases sur des dispositifs CMOS des effets de PID. Ce projet comprendra une phase de dessin de nouvelles structures de tests, une phase de tests de caractérisation électrique des transistors MOS et une phase d’analyse de données mettant en œuvre des techniques basées sur l’IA. Les analyses doivent permettre d’améliorer les règles de conception pour des plateformes technologiques telles que P18, 28FDSOI ou 3D40. A propos de vous * Bac +5, avec de solides connaissances en physique des semi-conducteurs, et en programmation. * Intérêt pour les expérimentations en laboratoire, l’utilisation e l’IA appliquée a l’analyse de données, les recherches bibliographiques et curiosité de la compréhension des phénomènes physiques. * Dynamisme et méthodologie dans le travail, goût pour l’interaction avec les collègues et les autres équipes. 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.

    Posted 1 week agoView details
  • STMicroelectronics · SG
    full time10001+
    Semiconductors

    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 seeking a forward-thinking Automation Engineer to design and implement next-generation automated systems. Our focus is on "Balanced Automation"—integrating traditional hardware (PLCs, robotics) with AI-powered reasoning and real-time data pipelines to drive operational excellence. You will move beyond simple script execution to architecting resilient, scalable ecosystems that bridge the physical and digital worlds. * System Architecture: Design and deploy end-to-end automation frameworks integrating PLC, and Industrial IoT (IIoT) systems. * AI & Agentic Integration: Orchestrate AI agents to the existing tools to simplify the routine tasks. * Develop and maintain automated devices for machine/process monitoring including dashboard for KPI monitoring. * Predictive Maintenance: Implement machine learning-based monitoring systems to detect anomalies and reduce unplanned downtime. YOUR SKILLS & EXPERIENCES * Bachelor’s degree in electrical/electronics Engineering, Computer Science, or a related field. * Proficiency in Python, Java, or C/C++. * Must possess strong systems thinking skills, with the ability to analyze how individual components interact within a larger organizational or technical ecosystem. * Systems thinker who can anticipate upstream and downstream impacts, effectively balancing short-term fixes with long-term, holistic outcomes. * Strong analytical problem-solving and the ability to explain complex technical concepts to non-technical stakeholders 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.

    Posted 1 week agoView details
  • STMicroelectronics · Crolles, FR
    internshipfull time10001+
    Semiconductorsfrench

    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. STMicroelectronics Crolles offre une opportunité de d'alternance passionnante dans le domaine de l'Intelligence Artificielle appliquée à l'industrialisation d'un parc d’équipements. Description du sujet: En tant qu'alternant au sein de l'équipe Data Analysis Solution, vous serez chargé(e) de développer une solution d’intelligence artificielle permettant, à partir d’une première prédiction des paramètres électriques des hétérojonctions bipolaires (HBT), de prédire un recentrage du process. La première étape de prédiction des paramètres electriques à partir des données machine a déjà été validée. La seconde étape, qui sera le sujet de l'alternance, consiste a developper une solution d’intelligence artificielle capable de prédire les paramètres process pour optimiser le centrage des paramètres electriques à partir des paramètres electriques prédits. Un autre volet de l'alternance consistera au déploiement de ces deux solutions IA sur plusieurs sites de STMicroelectronics avec une forte coloration datascience: créer la database, eliminer les outliers, estimer la qualité de la database d’entrée. Vous aurez à présenter vos résultats toutes les semaines et dresser un overview de vos résultats et directions tous les mois. Les principales responsabilitées incluent: * Développer un modèle de prédiction basé sur des données in-line pour les HBT. * Collaborer étroitement avec les équipes de process d'épitaxie et de dispositifs pour comprendre les besoins et enjeux. * Optimiser la robustesse du modèle en croisant des données et en testant différentes combinaisons d’équipements Exigences: * Étudiant(e) en IA, informatique ou domaine connexe. * Maitrise parfaite de Python (Pep8) * Connaissances en Intelligence Artificielle et modélisation de données * Capacité à travailler de manière autonome et en équipe. * Excellentes compétences en communication et en analyse. * Anglais courant Avantages: * Encadrement par des experts de l'industrie. * Possibilité de contribuer à des projets stratégiques au sein de STMicroelectronics. * Collaboration avec des équipes multidisciplinaires pour une expérience enrichissante. Rejoignez-nous chez STMicroelectronics Crolles et participez à l'avancement de l'IA à travers l’amélioration de la qualité de production. Postulez dès maintenant pour cette alternance de 2 ans et contribuez à l'innovation technologique de demain! 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.

    Posted 1 week agoView details
  • STMicroelectronics · Rousset, FR
    full time10001+
    Semiconductorsfrench

    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. Les mémoires non volatiles résistives (PCM, OxRAM, EEPROM…) sont au cœur des systèmes embarqués avancés (automobile, IoT, applications industrielles…) et doivent garantir des performances stables et une fiabilité élevée sur toute la durée de vie du produit. Avec la miniaturisation des technologies et la variabilité croissante des procédés, la définition des conditions d’activation (formation, écriture, effacement, rodage) et des scénarios de test devient un problème complexe : l’espace de paramètres est immense et les approches classiques (plans d’expériences, optimisation manuelle) atteignent leurs limites. L’objectif de ce sujet de thèse est d’explorer et développer des approches IA / Machine Learning pour : * optimiser les signaux d’activation et les conditions de test des mémoires eNVM, * intégrer la variabilité procédé et le vieillissement dans cette optimisation, * démontrer, sur circuits de test et véhicules de test proches du produit, que ces algorithmes permettent un calibrage plus rapide, plus robuste et plus intelligent que les méthodes traditionnelles (ex. optimisation d’opérations d’écriture/effacement, choix des meilleures conditions de fiabilité pour une puce). Les algorithmes considérés pourront inclure des modèles de substitution, des méthodes d’optimisation (type swarm optimization) et de l’apprentissage par renforcement, couplés à des bancs de test pilotés en Python. A propos de vos missions * Définir des cas concrets d’optimisation (performance, fiabilité, conditions d’activation / test) sur technologies PCM, OxRAM, EEPROM. * Mettre en place l'acquisition de mesure (scripts Python + banc de test) et constituer des jeux de données. * Développer et adapter des algorithmes d’IA / ML (substitution, optimisation, RL) aux problématiques identifiées. * Entraîner, et comparer les agents d’optimisation (rapidité, nombre d’essais, robustesse à la variabilité). * Synthétiser les résultats et proposer des scénarios d’industrialisation (activation produit, tests EWS, optimisation face au vieillissement). A propos de vous * Formation : fin d’études ingénieur / master en microélectronique, électronique, physique, data/IA ou informatique. * Bases en microélectronique et en physique des semiconducteurs * langage de programmation: Python (scripts, traitement de données, éventuellement ML), C++, VBA * Connaissances approfondis pour le Machine Learning / IA appliqués à des données physiques. * Qualités : curiosité, esprit d’analyse, rigueur expérimentale, autonomie, force de proposition, goût pour l’innovation et le travail en équipe. 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.

    Posted 2 weeks agoView details
  • STMicroelectronics · SG
    full time10001+
    Semiconductorsenglish

    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 * Investigate and drive root cause & problem solving for complex yield and integration issues with fast feedback and corrective action * Monitor and improve EWS zero yield and yield performance, and reduce scraps by correctly identifying root cause and putting in place CAPA to avoid re-occurrence * Provide timely lot disposition based on inline, defect, T84 and EWS data * Support capacity improvement by participating in qualification definition and report analysis preparation * Work on data correlation, analysis, and statistics, drawing data from all aspects (yield, parametric, SPC, defectivity, tool and process data for example FDC, process time, output parameters) * Setup smart manufacturing solution for data analytics and insights, drawing from a broad background of Big Data techniques in statistics, simulation, information technology, machine learning, data engineering etc to discover insightful patterns in semiconductor manufacturing data * Liaise with Division for product issue, improvement, new product transfer and development * Work with Process engineers and Division on new tool and process change qualification, and other improvement activities * Work with Customer Quality for ICC & ECC improvement YOUR SKILLS & EXPERIENCES * Good understanding of Device physics and Semiconductor Process Engineering * Bachelor’s degree in Electrical and Electronic Engineering (EEE), or a related engineering discipline * Good analytical and problem-solving skills with a keen eye to details * High degree of interpersonal skills and able to work both independently and with cross-functional teams * Good communication and project management skills * Ability to work in a fast-paced environment and meet tight timelines. 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.

    Posted 2 weeks agoView details
  • Leonardo · Torino - Caselle Sud, Italy
    internshipfull time10001+
    Aerospace & Defenseitalian

    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 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. Nel 2024 Leonardo ha registrato ricavi consolidati pari a € 17,8 mld, nuovi ordini per € 20,9 mld, e ha investito € 2,5 mld in attività di R&S. Innovazione, ricerca continua, industria digitale e sostenibilità sono i pilastri del suo business nel mondo. Tutor esperte/i nel proprio settore ti seguiranno, consentendoti di approfondire la parte teorica e di sviluppare la tua tesi, preparandoti al meglio per le sfide professionali future. Le tematiche proposte per le tesi da svolgere in Leonardo abbracciano un vasto spettro di ambiti tecnologici, ricerca e innovazione: dall’Intelligenza Artificiale all’High-Performance Computing, dalla Cyber Sicurezza all’Ingegneria dei materiali, passando per i settori aerospaziali. Potrai esplorare le aree più all’avanguardia del tuo settore di studi, con creatività e spirito di innovazione. Per supportarti nel corso di questa esperienza, della durata massima di sei mesi, è previsto inoltre un rimborso spese. Stiamo ricercando n. 1 giovane studente o studentessa da inserire in stage con l’obiettivo di sviluppare la propria tesi di laurea sulla tematica relativa alla “ Progettazione di una piattaforma grafica per l’addestramento di modello AI per l’analisi di dati prova aeronautici ” presso il sito di Caselle Sud (Torino). Nell’ambito delle iniziative di digitalizzazione e incremento delle capacità di calcolo e analisi dei dati di prova, si richiede lo studio e lo sviluppo di una soluzione tecnologicamente avanzata per la realizzazione di un’interfaccia grafica (GUI) client-side da integrare nella piattaforma software Flight Test Suite. L’obiettivo è consentire ai Test Engineer la progettazione visuale e assistita di modelli di Intelligenza Artificiale e il loro successivo addestramento sui dati di volo, o più in generale sui dati di prova dei velivoli prototipici gestiti dal dipartimento di Test & Evaluation. Il progetto contribuirà al miglioramento dell’efficienza dei processi di analisi dati e alla valorizzazione delle informazioni derivanti dalle campagne di test. Le attività principali previste saranno: Analisi dei requisiti funzionali della piattaforma Flight Test Suite; Sviluppo di un’interfaccia grafica per la progettazione visuale di modelli di AI; Supporto all’integrazione della soluzione nel contesto software esistente; Interazione con Test Engineer per la definizione delle funzionalità e validazione operativa; Redazione della documentazione tecnica. Titolo di studio: Laurea Magistrale in Ingegneria Informatica o Informatica. Seniority: Junior Conoscenze e competenze tecniche: Conoscenza approfondita dei moderni linguaggi di programmazione; Esperienza nello sviluppo in architettura Client-Server; Conoscenze di base di Machine Learning e Data Analysis; Familiarità con sviluppo di interfacce grafiche. Competenze comportamentali: Proattività; Capacità di lavorare in team; Orientamento all’apprendimento; Flessibilità; Comunicazione; Interesse per sistemi aeronautici e tecnologie di elettrificazione. Conoscenze linguistiche: Buona conoscenza della lingua inglese, scritta e parlata livello B2/C1. Conoscenze informatiche: Ottima conoscenza dei principali linguaggi di programmazione; Preferibile esperienza con framework per sviluppo GUI; Familiarità con strumenti di analisi dati e ambienti di sviluppo software. Linguaggi di programmazione: TypeScript + Python come opzione web principale (web application moderna, separazione GUI/backend, standard per ML e data analysis). Java con FXML come alternativa desktop, facilmente integrabile con MATLAB. MATLAB come baseline e possibile motore di calcolo, per garantire continuità con il lavoro già svolto. 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 e con il Business, dove saranno approfondite tematiche tecniche, motivazione e attitudini personali. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Aspettiamo la tua candidatura . Collaborando con noi avrai modo di confrontarti costantemente con le sfide dell’alta tecnologia, di accrescere le tue competenze e costruire un percorso professionale di eccellenza. Seniority: Junior Primary Location: IT - Torino - Caselle Sud Contract Type: Total Base Pay Range: Hybrid Working: Onsite

    Posted 1 month agoView details
  • Leonardo · Torino - C.so Francia, Italy
    seniorfull time10001+
    Aerospace & Defenseitalianenglish

    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 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 dell'Area Special Projects & Virtual Engineering siamo alla ricerca di un/una Autonomy Expert per il nostro sito di Torino. Attività principali: La risorsa dovrà essere in grado di svolgere le attività di competenza dell’unità Special Projects & Virtual Engineering nell’ambito dell’ufficio Autonomy ed in particolare collaborare nella definizione, implementazione, governance della roadmap di Autonomy nonché nel coordinamento dei progetti speciali associati. Titolo di studio: Laurea magistrale in Ingegneria Informatica, Aerospaziale, Elettronica, Automazione o affine. Livello di esperienza richiesto: Senior – esperienza consolidata (> 5 anni) nello sviluppo di sistemi autonomi Competenze tecniche: Conoscenze di mission autonomy, route planning, obstacle avoidance e autonomia cooperative; Intelligenza Artificiale e Machine Learning: conoscenza degli algoritmi per la navigazione autonoma ed il processo decisionale in tempo reale. Conoscenze di image processing e computer vision sono considerate un plus; Solida conoscenza di algoritmi di controllo ed automazione, sensor fusion, navigazione e software real time; Competenza approfondite sulla sensoristica e la loro integrazione a bordo; Comprensione della meccanica del volo; Esperienza pratica in modellazione, simulazione e validazione di sistemi complessi; Nozioni di cybersecurity aeronautica; Conoscenza delle normative nazionali ed internazionali applicabili a UAS/UAV; Conoscenza dell’analisi del rischio in relazione all’aeronavigabilità in modalità di guida autonoma. Competenze comportamentali: Persona proattiva, con spiccata propensione all’innovazione, con buone doti organizzative e capacità di lavorare in autonomia relativamente agli aspetti di competenza, con attitudine al lavoro in team multidisciplinari, anche multi-nazionali, e capacità di interfacciarsi con altre figure aziendali. Conoscenze linguistiche: Ottima conoscenza dell’inglese Conoscenze Informatiche: Ottima conoscenza suite MS Office; Ottima conoscenza di Python; Conoscenza dei linguaggi di programmazione C/C++; Conoscenza Mathworks. Altro : Disponibilità a trasferte sia brevi che di media durata sia su territorio nazionale che all’estero. Seniority: Expert Primary Location: IT - Torino - C.so Francia Contract Type: Permanent Total Base Pay Range: €32.731,92 - €43.000 Hybrid Working: Hybrid

    Posted 1 month agoView details
  • Leonardo · Varese - Cascina Costa, Italy
    seniorfull time10001+
    Aerospace & Defenseenglish

    Job Description: Leonardo is an international industrial group and one of the world's leading companies in the Aerospace, Defence, and Security sectors, delivering multi-domain technological capabilities in the fields of Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security, and Space. With more than 60,000 employees worldwide, the company has a strong industrial presence in Italy, the United Kingdom, Poland, and the United States, and operates in 150 countries through subsidiaries, joint ventures, and equity investments. A key player in major strategic programs at the global level, Leonardo is a technology and industrial partner to governments, defence administrations, institutions, and businesses. Within the T&I area we are looking for an AI Specialist (Expert-Senior Level) for our Cascina Costa (VA) office. Role Purpose: To lead and provide expertise in the areas of computer vision and time series analysis, agentic AI and the whole AI spectrum. The role ensures the design and implementation of cutting-edge models that align with company objectives and integrates seamlessly into broader product ecosystems. Key Accountabilities: Model Development & Implementation: Design, develop, and implement state-of-the-art computer vision and time series analysis models, maintaining the highest standards of accuracy and efficiency. Integration & Deployment: Ensure that the developed models are optimized and ready for deployment in various environments, particularly on edge devices. Innovation & Knowledge Upkeep: Stay updated with the latest methodologies in machine learning, AI, and data science to keep the company at the forefront of technological advancements. Main Activities: Designing and testing AI models and AI Agents in real world and challenging conditions. Participate on European founded projects. Collaborating with cross-functional teams to understand needs and integrate AI based solutions. Ensuring scalability, robustness, and efficiency of models for deployment. Continual learning and application of the latest in the field to our operational challenges. Requirements Qualifications: - Master’s degree in Computer Science, Data Science, AI, Mathematics, Physics, Robotics or related fields. Ph.D is a plus. Level of Experience: - Expert-Senior level with [4-10 years] of professional experience in AI. - Proven track record of leading or mentoring junior team members will be a plus. Technical Skills: - Proficiency in computer vision, time series analysis and AI. - Demonstrable expertise in edge devices deployment. - Python Libraries: Pytorch, ONNX, TensorRT. - Experience in C, C++, Rust, Go is a plus. - Experience in LaTeX is a plus. - Experience in MLOps is a plus. - Version control Git (mandatory). - Experience with Docker/Singularity. - Knowledge of the aeronautical world and deployment on aeronautical systems are considered a strong plus. - Experience in Optimization and Operational Research is a plus. Languages : - English: Full professional proficiency - Italian will be a plus Soft Skills: - Strong mentorship and leadership qualities. - Excellent communication and collaboration abilities. - Proactive problem-solving approach. - Adaptability to evolving technologies and methodologies. WHAT WE OFFER Engagement, recognition of skills, and a strong focus on people's well-being and safety are the cornerstones of our corporate culture. Every day, we are committed to fostering an inclusive and stimulating work environment by actively promoting the principles of inclusion, equity, and diversity enhancement. Our reference collective labor agreement is the National Collective Labor Agreement (CCNL) for the Private Metalworking Industry and Plant Installation Sector. • Working arrangement: Hybrid • Employment category: White-collar employee • Contract type: Permanent contract • 13th-month salary • Performance bonus linked to business results • Welfare vouchers worth €250 per year • Ongoing training and professional development opportunities, including both technical and soft skills • Well-being: We place the economic, physical, social, and psychological well-being of our people first, offering a variety of solutions tailored to their needs. The company reserves the right to assess the appropriate employment level and compensation package based on objective criteria emerging during the selection process and in line with the seniority of the selected candidate and the position itself, in accordance with the principles of fairness, transparency, and equal opportunities established by applicable legislation. THE SELECTION PROCESS We look forward to receiving your application: please submit your CV within three weeks of the job posting date. How does the selection process work? Following the application collection phase, the CVs that best match the required qualifications will be evaluated and shortlisted. Selected candidates will take part in an introductory interview with the Human Resources team, focusing on motivation and aptitude, followed by an in-depth technical interview with the relevant Business function. At the end of the process, all candidates will receive feedback, regardless of whether the outcome is positive or negative. Seniority: Expert Primary Location: IT - Varese - Cascina Costa Contract Type: Permanent Total Base Pay Range: RAL 35.110,40 - 54.723,48 Hybrid Working: Hybrid

    Posted 1 month agoView details
  • STMicroelectronics · SG
    seniorfull time10001+
    Semiconductorsenglish

    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 The role involves designing, developing, and implementing cutting-edge models and solutions across a range of quantitative and AI disciplines, including machine learning, optimization, neural networks, and agentic AI * Design, develop, and implement advanced models in machine learning, optimization, neural networks, and AI domains such as computer vision. * Partner with business stakeholders to understand requirements, define problem statements, and translate them into effective data science solutions. * Analyze large and complex datasets to uncover trends, generate insights, and support data-driven decision-making using statistical techniques. * Develop proof-of-concepts, prototypes, and scalable solutions that clearly demonstrate business value. * Provide thought leadership in data science and AI, promoting best practices and innovative approaches across projects. * Prepare and review technical design documentation, ensuring clarity, quality, and alignment with architecture standards. * Contribute to innovation initiatives, including intellectual property development and potential patent submissions. * Collaborate with global teams on cross-site data science projects, fostering strong teamwork and knowledge sharing. * Support local technical leadership in Singapore by ensuring effective project execution and timely delivery. YOUR SKILLS & EXPERIENCES * Proven experience in developing and deploying machine learning models and AI solutions in a production or business environment. * Strong knowledge of statistical methods, data analysis, and predictive modeling techniques. * Proficiency in programming languages such as Python and familiarity with relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Experience working with large-scale datasets, data processing tools, and cloud platforms is an advantage. * Hands-on experience with AI domains such as GenAI, optimization, or deep learning is preferred. * Solid understanding of data engineering concepts, data pipelines, and model deployment practices is a plus. * Strong problem-solving skills with the ability to translate business needs into technical solutions. * Excellent communication skills, with the ability to present complex insights clearly to both technical and non-technical stakeholders. * Ability to work effectively in cross-functional and global teams. Preferred Qualifications * Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Work experience involving machine learning, computer vision, generative AI, data analytics, or predictive modeling in the domain of Product Test Engineering/Semiconductor Manufacturing * Exposure to cloud platforms, data engineering concepts, databases, or model deployment practices. * Experience with data visualization tools such as Power BI, Tibco Spotfire, or Python visualization libraries. * Familiarity with AI domains such as deep learning, computer vision, optimization, or large language models (LLMs). 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.

    Posted 2 months agoView details
  • ShopFully · Italy; Spain
    senior201-500
    Retail Mediaenglish

    We are the platform turning browsing into shopping . We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases. In 2024, Shopfully joined forces with the North American company Flipp , creating a global leader in the sector. Together, we reach 400 million households and serve over 1,000 top retailers and brands across 27 markets, including Europe, Canada, the USA, Latin America, and Australia. Ready to  spark your growth with us? WHO WE LOOK FOR 🦄 We are looking for an AI Architect, Finance, who will join our Strategic Transformation team.  The AI Architect, Finance, is a senior individual contributor and the principal technical designer of AI-driven solutions across the Finance organization. Reporting to the Director, Strategic Transformation, this role will partner closely with the finance organization (FP&A, Accounting, Treasury, and adjacent business teams) to translate complex finance problems into pragmatic, production-grade technical solutions with a strong emphasis on agentic AI, intelligent automation, and machine learning for forecasting and planning. This is an execution-first role focused on prototyping, building, and launching production-grade solutions that deliver measurable impact for Finance. Beyond direct execution, the AI Architect will help influence technical direction, define architectural standards, and establish new ways of working across the organization. As part of our global hiring process, we kindly ask that resumes/CVs be submitted in English, as it’s our primary business language across teams and regions.    WHAT YOU WILL DO  🏄 Agentic AI & Intelligent Automation Architect and build agentic AI systems that automate finance workflows, including close, consolidations, variance analysis, management reporting, and ad-hoc analytical requests. Design multi-agent orchestration systems (planner, retriever, executor, reviewer) with appropriate guardrails, evaluations, and human-in-the-loop checkpoints. Identify high-leverage automation opportunities across the finance value chain and translate them into clear architectural blueprints, prototypes, and production roadmaps. Define standards for prompt engineering, tool integration, RAG, memory, and agent observability to ensure consistency and reliability across solutions. Partner with Engineering, IT, and Security to productionize agents — addressing identity, access, secrets management, audit logging, and change control. AI/ML for FP&A & Forecasting Design and implement machine learning models for revenue, expense, cash flow, and driver-based forecasting, scenario modeling, and anomaly detection. Lead the evolution from traditional, spreadsheet-driven forecasting toward predictive and probabilistic approaches, including time-series, hierarchical, and causal modeling techniques. Embed AI-generated insights and narratives into the FP&A planning cycle, partnering with FP&A leaders to ensure outputs are interpretable, trusted, and actionable. Establish backtesting, model monitoring, drift detection, and performance benchmarks so that models remain accurate and credible over time. Champion experimentation: define hypotheses, run controlled pilots, and measure impact on forecast accuracy, cycle time, and decision quality. Technical Leadership & Influence Serve as the senior-most AI technical voice within Finance, setting technical direction, reviewing designs, and raising the bar on engineering quality across initiatives. Provide hands-on prototyping and reference implementations that de-risk new ideas and accelerate delivery for partner teams. Mentor and uplift finance analysts, FP&A partners, and adjacent engineering teams on AI and ML concepts, patterns, and responsible use. Represent Finance in cross-functional AI governance forums, contributing to enterprise AI strategy, standards, and reusable platform capabilities. Responsible AI, Governance & Risk Establish and enforce responsible AI practices for Finance — including model risk management, bias and fairness reviews, explainability, and human oversight. Define evaluation frameworks and acceptance criteria for AI outputs used in financial decisions and reporting contexts. Maintain a clear inventory of finance AI use cases, models, and agents, with documented owners, data lineage, controls, and review cadence. Stay ahead of evolving AI regulation and external standards relevant to financial services and corporate finance, and translate them into practical internal guidelines. Innovation & Continuous Learning Maintain deep, current expertise in foundation models, agent frameworks, ML tooling, and the rapidly evolving finance AI ecosystem. Run structured pilots and proofs-of-concept to evaluate emerging capabilities and translate promising results into a defensible production roadmap. Curate a portfolio of high-impact AI use cases for Finance, balancing quick wins with foundational, longer-horizon investments.   WHAT YOU WILL NEED 🪄 10+ years of progressive experience in AI/ML, software engineering, or applied data science, including significant time as a senior IC, principal, or staff-level architect. Demonstrated experience designing and shipping production AI systems — ideally including agentic AI, LLM-based applications, and ML for forecasting or planning use cases. Deep, hands-on expertise with modern AI tooling: foundation models and APIs, agent frameworks, RAG patterns, vector stores, orchestration tools, and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, statsmodels, Prophet, or equivalents). Strong software engineering fundamentals — Python, APIs, version control, testing, CI/CD, cloud platforms (AWS, Azure, or GCP), and modern data stacks. Solid working knowledge of finance and FP&A concepts: budgeting, forecasting, variance analysis, driver-based planning, management reporting, and the systems that support them (ERP, EPM/CPM, data warehouse, BI). Experience working with or building on top of finance-relevant data — general ledger, sub-ledgers, headcount, sales pipeline, and operational drivers — with a strong appreciation for data quality and lineage. Working understanding of responsible AI, model risk management, security, privacy, and audit considerations relevant to enterprise finance.   👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you!   LOCATION 🌐   While we have offices in Milan and Madrid, you can benefit from our flexible hybrid model, empowering you to work where you're most effective.   WHAT YOU WILL FIND AT SHOPFULLY 🤗 🌎 An opportunity to thrive in a rapidly scaling multinational company 🕶️ A vibrant, informal, and inclusive work environment 🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work 📚 Access to learning opportunities and regular feedback sessions 🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups 🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks 💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are 🧰 Benefit from additional country-specific advantages based on local contracts and practices   WHO WE ARE 💜  We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.   TO FEEL AT HOME 🛋️ IN SHOPFULLY YOU NEED 🎯 Progress Over Perfection : We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results. Clarity Through Transparency : We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better. Learn Loudly : We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition. Challenge with Empathy : We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust. Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset. If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found  here. * Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

    Posted 2 months agoView details
  • Leonardo · Napoli - Pomigliano, Italy
    midfull time10001+
    Aerospace & Defenseitalian

    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 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 dell'Area Structure Technology siamo alla ricerca di un/una Aeronautical Structural Virtual Engineer per il nostro sito di Pomigliano d'Arco (NA). Attività principali: Modellazione virtuale e simulazione FEM di strutture aeronautiche (parti primarie, assemblaggi e installazioni), incluse analisi non lineari e analisi specifiche per materiali compositi Analisi dei requisiti di aeronavigabilità e di prestazione strutturale, con sviluppo e applicazione di metodologie di analisi degli stress. Definizione e supporto ai programmi di test strutturali, inclusi piano prove, supporto al laboratorio e valutazione dei risultati per la calibrazione e validazione dei modelli e dei metodi Applicazione e personalizzazione di tecniche di intelligenza artificiale e machine learning a supporto delle attività di simulazione e analisi Simulazione di processi di Additive Manufacturing con approcci di generative design e ottimizzazione Redazione della documentazione tecnica (modelli FEM, note di stress, requisiti e valutazioni di test, matrici di conformità, descrizione dei metodi e linee guida di simulazione) e collaborazione con progettazione, produzione, laboratorio e stakeholder nazionali e internazionali Titolo di Studio: Laurea Magistrale in Ingegneria Aeronautica/Ingegneria Meccanica Livello di Esperienza Richiesto: 1-3 Anni di Esperienza Competenze Tecniche: Conoscenza di strumenti FEM quali Patran, Nastran, Apex e HyperMesh Conoscenza di analisi lineari e non lineari Conoscenza delle analisi di fatica e damage tolerance Esperienza nella modellazione CAD in ambito aerospaziale Conoscenza di automazione delle analisi e scripting (ad es. Python per pre/post-processing) Competenze Comportamentali: Capacità di problem solving Buone capacità comunicative e di interfaccia con diversi stakeholder Attitudine al lavoro di squadra Capacità di lavorare sotto pressione Flessibilità e capacità di adattamento Proattività Conoscenze Linguistiche: Buona conoscenza della lingua inglese scritta e parlata (B2) Conoscenze Informatiche: Conoscenza del pacchetto Office Altro: Disponibilità a trasferte 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 - Napoli - Pomigliano Additional Locations: Contract Type: Permanent Hybrid Working:

    Posted 3 months agoView details