ShopFully · Italy

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 a Senior Software Engineer to join our Audience Platform team within Ad Products. In this role, you will own and extend the high-throughput, low-latency backend systems, event-driven architectures, and distributed data pipelines powering 1P, 2P, and 3P audience data for Flipp and Shopfully. We are looking for a high-autonomy senior contributor who doesn't just write code, but owns production services end-to-end, drives system design decisions, scales core tables running into tens of billions of rows, and leverages cutting-edge AI tools to maximize engineering throughput. If you are passionate about backend engineering, low-latency architectures, data at scale, and ad-tech innovation, this role is for you!   WHAT YOU WILL DO 🏄 Own & Extend the Audience Platform: Architect, build, and scale core backend systems including the Audience API, Audience Kafka Topics, User Profile API, Audience Management UI, and 2P/3P data ingestion infrastructure.   Drive Integrations & Data Pipelines: Build and maintain high-volume activation platform integrations (e.g., DV360, Braze, TTD) and collaborate on Databricks segmentation pipelines and core data tables running into tens of billions of rows.   Ensure High Performance & Observability: Design and operate low-latency, high-throughput microservices using Go, gRPC/Protobuf, and REST+OpenAPI, maintaining end-to-end service observability and APM via Datadog and Datadog OnCall.   Support ML & AI Workstreams : Partner with Machine Learning Engineers and Data Scientists to support models (IAB Segmentation Model, Retailer/Category Affinity Segments) and integrate AI-assisted development practices (e.g., Cursor, Claude Code) into day-to-day engineering workflows.   Privacy & Compliance: Plan and execute technical initiatives with strict adherence to data regulatory laws (GDPR, CCPA, consent management).   Technical Leadership & Execution: Lead large-scale, cross-functional engineering initiatives from design to execution, contributing directly to team and company OKRs (including driving $7M+ in targeting revenue).   Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Managers, Data Engineers, and cross-departmental stakeholders (Ad Supply, Ad Demand, Programmatic, Marketing Science).   WHAT YOU WILL NEED 🪄 5+ years of backend/distributed systems engineering experience, ideally in Go (the team's primary language for high-throughput, low-latency services).   Production experience with Kafka-based event-driven architecture (Confluent Kafka).   Hands-on experience with Python or Scala, and strong SQL skills.   Proven track record of owning a production service end-to-end, including on-call rotation.   Comfort with distributed data pipelines at scale and experience designing/operating gRPC/Protobuf and REST+OpenAPI services.   Container orchestration & Cloud fluency: Experience with AWS and Kubernetes (EKS).   Active use of AI coding agents (e.g., Cursor, Claude Code) to increase personal development throughput.   High autonomy in ambiguity and ability to communicate technical designs clearly to both technical and non-technical stakeholders.   Fluent in English with ability to provide overlap availability into North American hours (9am to 12pm EST).   👉 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! NICE TO HAVE  🎆 Ad-tech, programmatic advertising, or activation platform experience.   Privacy engineering background (GDPR, CCPA, consent systems).   Familiarity with Databricks-specific tooling.   Experience deploying ML systems or working closely with ML pipelines. SALARY RANGE ⚖️ : €50,000 – €70,000 fixed gross salary per year.   LOCATION 🌐   While we have offices in Milan , Barcelona and Sofia , you can benefit from our flexible hybrid model, empowering you to work where you’re most effective in Europe. Full remote available from Europe.   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.

Leonardo · Roma - Via Laurentina, Italy

Job Description: Leonardo SpA 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. P rotagonista 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 Cyber & Security Solutions , stiamo ricercando un/a Data Engineer da inserire in una delle nostre sedi di Roma Laurentina, Genova Fiumara, Chieti Scalo e Firenze Campi Bisenzio. La persona si occuperà delle seguenti attività: Progettare le architetture per la gestione del dato Progettare e realizzare le pipeline MLOPS Progettare e realizzare agenti AI per il supporto alle decisioni in ambito cyber Titolo di studio: Laurea Magistrale in Ingegneria Informatica Seniority: Expert: richiesta esperienza di 3-5 anni. Conoscenze e competenze tecniche e informatiche: Conoscenza della suite Apache per la gestione dei dati Conoscenza delle architetture cloud per i dati sia private che pubbliche Conoscenza dei sistemi di virtualizzazione e contenerizzazione Conoscenza dei concetti e dei sistemi MLOPS Conoscenze evolute nell'addestramento e deploy di sistemi di AI Competenze comportamentali: Flessibilità e proattività; Capacità di Public Speaking; Problem solving e gestione di complessità; Team working e stakeholder management; Conoscenze linguistiche: Richiesta la conoscenza fluente della lingua inglese. Altro Disponibilità a trasferte di breve durata; Certificazioni project management (PMP, Agile/Scrum) sono titoli preferenziali; Certificazioni in ambito system engineering o solution architect sono titoli preferenziali; Background tecnico in cyber security è preferito; Certificazioni in cybersecurity (Security+) sono un plus; La conoscenza dei prodotti aziendali è un plus. 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: Expert Primary Location: IT - Roma - Via Laurentina Additional Locations: IT - Chieti Scalo, IT - Firenze - Campi Bisenzio, IT - Genova - Fiumara Contract Type: Permanent Total Base Pay Range: 36k-59k Hybrid Working: Hybrid

STMicroelectronics · SG

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.

Leonardo · Darmstadt - Europahaus, Germany

Job Description: What you will focus on As a member of our team, you’ll have the opportunity to be involved in various aspects of designing, developing, and implementing innovative security solutions. Depending on project needs, this could include areas like Zero Trust, AI/ML applications in threat detection and response, Cloud Security, Quantum Cryptography, and building out Security Operations Centers (SOC). You may engage in activities such as threat modeling, conducting security risk analyses, and setting security requirements for complex systems. You could also contribute to developing and optimizing SOC processes, and work on operational concepts for security infrastructures. Security analysis, incident management, threat monitoring, and system response might also be part of your journey with us, as well as supporting certification and accreditation processes, or implementing DevSecOps and GitOps frameworks. There’s plenty of room for collaboration with system engineers to foster a comprehensive security approach throughout system lifecycles. You might also assist with policy development and implementation, and work alongside interdisciplinary teams to uphold security standards and regulations. This role offers a flexible pathway to engage with a wide array of security-related projects, adapting to where your skills and interests align most. Who you are We welcome applicants with experience in any combination of these areas, even if not all skills are covered Degree in Computer Science, Engineering, or a related field a focus on cybersecurity is a plus. Some experience in security engineering, covering both theoretical and hands-on work Practical experience in developing security solutions and architectures, with an emphasis on IT security infrastructures and systems. Familiarity with industry-standard security frameworks and regulations (e.g., ISO 27001, NIST). Knowledge and experience in Risk Management methodologies and tools. Background in designing, implementing, and/or operating Security Operations Centers (SOC), with hands-on experience using SOC tools (e.g., SIEM, SOAR, Asset Management, Ticket Management) and supporting security processes. Proficiency in conducting system security analyses and translating security requirements into system designs. Team-oriented, responsible, with strong problem-solving skills. Capable to perform trade-off analyses of available tools(COTS) to decide fit for the purpose Additional Desirable Skills: Understanding of the Space Domain, including applications, protocols, CCSDS standards, and ECSS standards. Experience in performing RAMS (Reliability, Availability, Maintainability, Safety) analysis. Programming experience in Python and Java Cybersecurity certifications (SSCP, CISSP, etc.) or equivalent training would be a plus Seniority: Junior Primary Location: DE - Darmstadt - Europahaus Contract Type: Hybrid Working: Hybrid

Leonardo · Varese - Cascina Costa, 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 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. Area di inserimento La risorsa sarà inserita all’interno della funzione Contract Management, contribuendo alle iniziative di trasformazione digitale della funzione, con particolare riferimento ad attività di Demand Management, AI automation, sviluppo del nuovo Contract Lifecycle Management system – CLM e integrazione tra strumenti AI / CLM / SAP. Missione del ruolo La risorsa supporterà la funzione Contract Management nella raccolta, analisi e formalizzazione delle esigenze di business relative all’implementazione di nuove soluzioni tecnologiche e software. Opererà come punto di raccordo tra gli utenti interni della funzione Contract Management e le funzioni Digital Solutions e Big Data, contribuendo alla traduzione delle necessità operative e di processo in requisiti funzionali e tecnici, nonché al supporto delle fasi di implementazione, testing e gestione delle eventuali criticità in esercizio. Principali attività La risorsa supporterà il team nelle seguenti attività: • raccolta e analisi delle esigenze espresse dalle diverse unità organizzative della funzione Contract Management; • supporto alla strutturazione e formalizzazione della domanda interna in ambito Demand Management; • mappatura dei processi e identificazione di possibili aree di efficientamento, automazione o digitalizzazione; • traduzione delle esigenze di business in requisiti funzionali da condividere con le funzioni Digital Solutions e Big Data; •supporto alla definizione delle specifiche funzionali e tecniche per l’implementazione di soluzioni software, AI-based automation, CLM e integrazioni con sistemi aziendali; • partecipazione a incontri di allineamento con stakeholder interni, utenti finali e funzioni tecnologiche; • supporto operativo durante le fasi di configurazione, implementazione e testing delle soluzioni; • raccolta, analisi e tracciamento dei feedback degli utenti finali; • supporto nella gestione di problematiche, richieste di chiarimento o segnalazioni emerse nella fase di esercizio; • predisposizione di documentazione, report, minute, presentazioni e materiali di supporto al progetto. Requisiti richiesti Il/la candidato/a ideale è laureando/a o neolaureato/a in una delle seguenti aree: • Ingegneria Gestionale/Informatica; • Informatica; • Data Science • Intelligenza Artificiale; • discipline affini. Sono richiesti: • interesse per progetti di trasformazione digitale, process automation e strumenti AI; • capacità di analisi, sintesi e formalizzazione di requisiti; • buona padronanza del pacchetto Microsoft Office, in particolare Excel e PowerPoint; • buona conoscenza della lingua inglese; • attitudine al lavoro in team e al confronto con interlocutori di diverse funzioni aziendali; • precisione, approccio metodico e capacità di organizzare informazioni complesse. Costituiscono titolo preferenziale: • conoscenza base di strumenti CLM, ERP o sistemi gestionali aziendali; • familiarità con SAP; • conoscenza base di Power BI o strumenti di data visualization; • interesse per AI, workflow automation, process mining o digital transformation; • precedenti esperienze progettuali, anche universitarie, in ambito business analysis o process improvement. Competenze che la risorsa svilupperà Durante lo stage, la risorsa potrà sviluppare competenze in: • Demand Management; • Business Analysis; • raccolta e formalizzazione dei requisiti; • Contract Management digital transformation; • AI automation applicata ai processi aziendali; • implementazione di sistemi CLM; • integrazione tra processi di business e soluzioni tecnologiche; • testing funzionale e user acceptance testing; • gestione del rapporto tra business owner e funzioni digitali. Profilo personale Completano il profilo: • capacità di ascolto e comprensione delle esigenze degli utenti interni; • orientamento alla soluzione; • approccio strutturato e pragmatico; • capacità di lavorare su attività operative mantenendo visione di processo; • curiosità verso l’innovazione tecnologica e l’applicazione dell’AI ai processi aziendali; • buone capacità comunicative e relazionali. Seniority: Primary Location: IT - Varese - Cascina Costa Additional Locations: Contract Type: Hybrid Working:

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. Mission * Au sein de l’organisation Global Quality and Reliability, le/la VIE contribuera aux initiatives digitales et IA visant à améliorer les processus qualité, l’efficacité opérationnelle et la prise de décision. La mission portera sur l’identification d’opportunités, le support au déploiement de solutions assistées par l’IA, l’analyse des données qualité et la contribution à l’amélioration continue des processus qualité transverses. * Durée : 24 mois * Site : Agrate Principales responsabilités * Contribuer à l’analyse des besoins métier et qualité afin d’identifier des cas d’usage IA et data à forte valeur ajoutée. * Participer au déploiement de solutions digitales et IA dans les opérations qualité. * Contribuer au développement, aux tests et à l’amélioration d’assistants IA, de tableaux de bord et d’outils digitaux. * Collaborer avec des équipes transverses pour soutenir l’exécution et le suivi des projets. * Aider au suivi des KPIs, à la préparation des reportings et au pilotage de la performance des initiatives digitales. * Soutenir le déploiement du changement et l’adoption des nouveaux outils et solutions par les utilisateurs. * Participer aux activités d’amélioration continue à partir des retours utilisateurs et des enseignements tirés. * Appuyer des programmes opérationnels tels que le Jeopardy Lot List, en garantissant le suivi, la cohérence et la fiabilité des données. Compétences requises * Diplôme d’ingénieur, en data science, informatique ou domaine équivalent. * Solides capacités d’analyse et de résolution de problèmes. * Intérêt pour l’IA, le machine learning, l’analyse de données ou les outils digitaux. * Bonne compréhension du suivi des KPIs et du reporting. * Capacité à travailler avec plusieurs parties prenantes de manière structurée et collaborative. * Bonnes qualités de communication et esprit d’équipe. * Capacité à apprendre rapidement et à évoluer dans un environnement multiculturel. Version en Anglais: Mission As part of the Global Quality and Reliability organization, the VIE will support digital and AI initiatives aimed at improving quality processes, operational efficiency, and decision-making. The mission will focus on identifying opportunities, supporting the deployment of AI-enabled solutions, analyzing quality data, and contributing to continuous improvement across transversal quality processes. Main Responsibilities * Support the analysis of business and quality needs to identify high-value AI and data use cases. * Assist in the deployment of digital and AI solutions within quality operations. * Contribute to the development, testing, and improvement of AI assistants, dashboards, and digital tools. * Collaborate with cross-functional teams to support project execution and follow-up. * Help monitor KPIs, prepare reports, and track performance of digital initiatives. * Support change deployment and user adoption of new tools and solutions. * Participate in continuous improvement activities based on user feedback and lessons learned. * Assist with operational programs such as the Jeopardy Lot List, ensuring follow-up, consistency, and data reliability. Required Skills * Degree in engineering, data science, computer science, or a related field. * Strong analytical and problem-solving skills. * Interest in AI, machine learning, data analysis, or digital tools. * Good understanding of KPI tracking and reporting. * Ability to work with multiple stakeholders in a structured and collaborative way. * Good communication skills and a strong team spirit. * Ability to learn quickly and adapt in a multicultural environment. 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 a Business Development Representative for our North American Mid-Market team, you are the primary engine behind Docebo’s rapid global expansion! You’ll act as a strategic consultant, helping massive organizations transform their training from a mundane "checkbox" into a competitive superpower through world-class AI innovation. By establishing trust with high-level stakeholders, you won't just be filling a pipeline—you’ll be the first person to show these companies a better way for their employees to grow and thrive. 🗓️ THE DAY-TO-DAY - Strategize the Hunt: Identify and map out key stakeholders within our Ideal Customer Profile (ICP) to ensure we are engaging with the organizations that will benefit most from Docebo. - Craft the Narrative: Leverage and create high-impact, compelling messaging that cuts through the noise and sparks genuine curiosity about the future of learning. - Master the Outreach: Connect with potential clients via outbound calling, using active listening and rapport-building to turn cold introductions into warm opportunities. - Elevate the Experience: Provide a world-class first impression for inbound prospects, acting as a knowledgeable guide to how Docebo can help their teams excel. - Architect Your Success: Manage your calendar with precision, dedicating time to high-value activities that ensure you hit your goals and fuel the Docebo growth engine. - Drive the Impact: Focus relentlessly on pipeline generation, growing both the business and your own professional career as you contribute to our global mission. ⚡ YOUR SUPERPOWERS - Command the Conversation: You have the elite ability to qualify prospects, plan your approach, and maintain control of high-level business discussions. - Fuel the Fire: You are a self-motivated, results-oriented "go-getter" who thrives on hitting targets and exceeding expectations. - Communicate with Clarity: You possess exceptional communication and problem-solving skills, allowing you to explain complex AI solutions with ease. - Maintain the "Glass-Half-Full": You bring an infectious, positive energy to the team and approach every challenge with a solution-oriented mindset. - Think Outside the Box: You use your creativity and hustle to find unique ways to get in front of the right people and establish immediate credibility. 🌟 BONUS POINTS - Sales Veteran: You have 1+ years of experience in Inside Sales, a Call Center environment, or a Demand Generation/Marketing function. - Customer-Facing Pro: You’ve spent a year or more in Retail, Hospitality, or another high-touch customer service role. - Mid-Market Expertise: You have previous experience navigating the complexities of Mid-Market-level BDR or Sales cycles. 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.

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 a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide. THE DAY-TO-DAY 🛠️ - Architect the Future: Define long-term architectural standards and design resilient systems, leveraging our modern stack—including serverless services, Node.js (TypeScript), Golang, PHP, Angular, React, and AWS cloud infrastructure—to maximize performance and developer velocity. - Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes. - Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions. - Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output. - Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams. - Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results. - Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility. YOUR SUPERPOWERS ⚡ - SaaS Mastery: 10–12+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex SaaS products end-to-end. - Language & Tech Agility: Experience working with multi-language backends and frameworks—our stack uses PHP, Node.js, Golang, Angular, React, and serverless technology—and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency. - AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output. - Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing. - DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices. - Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs. - Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority. BONUS POINTS 🎯 - Diverse Tech Expertise: Hands-on experience with modern backend or frontend languages (Node.js, TypeScript, Go, Angular, React Native) that add versatility to our multi-tech ecosystem. - Advanced Academic Background: A Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related field (or equivalent practical experience). 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 deep-dive technical and architectural assessment to explore your approach to system design, AI leverage, and problem-solving. - Step 4: A final panel interview focusing on cross-functional collaboration, product strategy alignment, and leadership. 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.

Leonardo · Edinburgh, United Kingdom

Job Description: Your Impact An exciting opportunity has arisen for a Risk Analyst to join the Risk Function Team and support the continued development and delivery of Leonardo’s Enterprise Risk Management framework across the Electronics Division. This role offers an excellent opportunity for someone with existing risk and analytical experience to further develop their capability within a complex, highly regulated and strategically important environment. The role reports into the Enterprise Risk Manager and is to be based at Edinburgh, although we will consider other locations including Luton and Newcastle, with travel to other Leonardo UK sites and occasional travel to Italy as required. The successful candidate will work closely with Process and Risk Owners and functional teams to support the identification, assessment and management of both threats and opportunities across the business. The role will involve facilitating and supporting risk discussions and workshops, maintaining risk information within the corporate risk management system, and helping ensure mitigation actions are appropriately tracked and evidenced through to completion. A key aspect of the role is supporting the delivery of insightful risk reporting that enables informed decision making. We are looking for someone with strong analytical capability who can interpret data, identify trends, develop predictive analytics using AI and present information clearly for a range of stakeholders. Experience developing dashboards and reporting in Power BI would be highly advantageous, particularly the ability to translate complex information into visually engaging outputs. The role will also support quantitative risk analysis activity, including interpretation of Monte Carlo analysis and S-Curves. Candidates should therefore be comfortable working with data and able to apply a logical and structured approach to analysis and problem solving. Strong stakeholder engagement skills are essential. The successful candidate will need to communicate confidently with colleagues across all levels of the business, building effective working relationships and supporting the continued promotion of a positive and proactive risk culture across Leonardo. This position would suit someone who is organised, commercially aware and keen to continue building a career within enterprise risk management, while contributing to the ongoing maturity and effectiveness of risk management across the business. What You'll Bring Deep understanding of Risk Management frameworks and corporate governance principles Previous experience within Enterprise Risk Management, Project Risk, or a related governance environment Experience facilitating or supporting risk workshops, interviews, or risk review activities Strong analytical and problem-solving capability Experience using Power BI and/or advanced Excel to develop dashboards, reporting or data visualisations and familiarity with SQL, Python or Talend is highly advantageous. Strong communication and stakeholder engagement skills, including the ability to collaborate confidently with senior stakeholders Strong organisational skills with the ability to manage competing priorities effectively High competency across Microsoft Office applications Ability to work collaboratively within a team environment while also operating independently when required Right to work in the UK and willingness to travel occasionally to other Leonardo sites You’ll need to be eligible for SC clearance – while you don’t need to have it yet, you should meet the requirements to obtain it (usually 5 years’ continuous UK residency and the ability to pass background checks). We’ll guide you through the process if you’re successful. Additional experience as follows would be welcomed but is not essential Bachelors’ or Master degree in Finance, Economics, Mathematics or similar STEM subject is beneficial or be working towards qualifications in Risk Management, Project Management, or related disciplines Previous experience within Aerospace, Defence, Engineering, Manufacturing or Technology sectors Experience working within a large, complex, or highly regulated organisation Knowledge or experience of audit, assurance, or compliance-related processes Experience working with enterprise risk management systems or governance tools Exposure to Monte Carlo analysis, S-Curves, or quantitative risk analysis techniques Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! #LI-KA1 #LI-hybrid Primary Location: GB - Edinburgh Additional Locations: GB - Luton - Cap. Green 300 Contract Type: Permanent Hybrid Working: Hybrid

STMicroelectronics · SG

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. THE ROLE You will develop AI-enabled solutions and digital automation tools to improve pricing validation, BOS management, SAP data accuracy; PRPO processing efficiency, and GRN compliance in GOBM. This role provides hands-on exposure to SAP-related business processes, procurement operations, data analytics, artificial intelligence, and workflow automation. Project 1: Leverage AI to validate new‑device prices against MQ/MPI/BOS. Activities: Develop an AI solution to compare MQ, MPI, BOS and SAP pricing data to identify pricing discrepancies, missing information, and setup errors. Project 2: BOS-SAP Automated Price Reconciliation Activities: Develop an automated tool to perform weekly BOS versus SAP price checks and detect price inconsistencies, missing material codes, and service codes. Support corrective action tracking and reporting. Project 3: AI-Enabled non-production PO GRN Process Automation Activities: Develop AI-enabled workflows to automate non-production PRPO activities and validate supplier emails, invoices, and supporting documents for GRN triggering, reducing manual effort and improving process efficiency. REQUIRE SKILLS & EXPERIENCES * Currently pursuing a degree in Computer Science, Information Technology, Data Science, Information Systems, Software Engineering, or Business Analytics. * Basic programming knowledge in Python, SQL, or other scripting languages. * Knowledge of Microsoft Access, Microsoft Power BI, Power Automate, Excel, or similar automation tools. * Familiarity with Data Analytics, Generative AI applications. * Knowledge of SAP, ERP systems is a plus. * Strong analytical and problem-solving skills. * Able to handle large datasets and identify data inconsistencies. * Good communication and stakeholder engagement skills. WHAT YOU WILL GAIN * Practical exposure to SAP and procurement processes * Experience in AI, automation, and data-driven problem solving * Opportunity to work on real business challenges and process improvement initiative. ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.

Leonardo · Torino - Caselle Sud, 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 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

Leonardo · Torino - C.so Francia, 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 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