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 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 * Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 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 or R, 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. * Prior experience contributing to innovation initiatives, research, or intellectual property development is a plus. ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.

STMicroelectronics · Bouskoura, MA

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 Develop and test machine learning models for predictive analytics and data-driven optimization tasks. * Collect, clean, and analyze business data to generate insights and interactive dashboards for decision-making. * Develop and test machine learning models for predictive analytics and data-driven optimization tasks. * Assist in building introductory computer vision solutions using Python, OpenCV, and deep learning frameworks. * Participate in data pipeline development, preprocessing workflows, and model performance evaluation. * Collaborate with the technical team on research, experimentation, and deployment of AI and analytics solutions. YOUR SKILLS & EXPERIENCES * Master's student * Speciality : Big Data or Data science. * Extensive knowledge of Python, C, Machine Learning and UML. * Good level of English * ____________________________________ ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.

STMicroelectronics · Agrate Brianza, IT

LA NOSTRA STORIA Noi di ST crediamo nel potere della tecnologia di guidare l’innovazione e avere un impatto positivo sulle persone, sulle imprese e sulla società. Siamo un'azienda globale di semiconduttori e la nostra tecnologia avanzata e i nostri chip costituiscono la parte nascosta del mondo in cui viviamo oggi. Entrando in ST farai parte di un'azienda di oltre 115 nazionalità e presente in 40 paesi, con oltre 50.000 creatori di tecnologia in tutto il mondo! Lo sviluppo di tecnologie richiede più del solo talento: siamo infatti alla ricerca di persone straordinarie che comprendano la collaborazione e il rispetto. Persone con passione e il desiderio di rompere lo status quo, guidare l'innovazione e sbloccare il proprio potenziale. Intraprendi un viaggio con noi, dove puoi innovare per un futuro che vogliamo rendere più intelligente e più verde, in modo responsabile e sostenibile. La nostra tecnologia inizia con te.. We are looking for a resource to join the team to support the development of new features of an internal tool able to perform very fast thermal simulations of IC packages. The scope is to faster assess the thermal impact of board details. Main activities: * Introduction of detailed board model in TRAC (ST internal tool) * Validation of the models vs Flotherm, through comparison of thermal simulations results, analysis of deviations, and model optimization. * Creation of a simulation results database for different package families, in order to evaluate the impact of the board on the ThetaJA thermal metric. * Development of a regression model, possibly with machine learning techniques, to accelerate the estimation of the board's thermal impact without having to run full simulations each time. Required skills: * Degree in Computer Science or Electronic Engineering (or equivalent qualification). * Good knowledge of Excel for data management and analysis. * Good knowledge of Matlab for data processing and development of basic regression models. * Good command of the English language, both written and spoken. * Good analytical and problem-solving skills. * Attention to detail and precision in data handling. * Ability to work proactively in a team and communicate results and progress clearly. ST è orgogliosa di essere una delle 17 aziende certificate come Top Employer Globale 2025 e la prima e unica azienda di semiconduttori a raggiungere questa distinzione. ST è stata riconosciuta in questa classifica grazie al suo approccio di miglioramento continuo e si distingue particolarmente nelle aree di etica e integrità, scopo e valori, organizzazione e cambiamento, strategia aziendale e performance. In ST, ci impegniamo a promuovere un ambiente di lavoro diversificato e inclusivo, e abbiamo tolleranza zero per la discriminazione. Miriamo a reclutare e mantenere una forza lavoro diversificata che rifletta le società intorno a noi. Ci sforziamo per l'equità nello sviluppo della carriera, nelle opportunità di carriera e nella remunerazione equa. Incoraggiamo i candidati che potrebbero non soddisfare tutti i requisiti a presentare domanda, poiché apprezziamo le prospettive diverse e offriamo opportunità di crescita e apprendimento. La diversità, l'equità e l'inclusione (DEI) sono intrecciate nella nostra cultura aziendale. La nostra visione DEI è: "In ST, puoi essere la versione autentica di te stesso". Per saperne di più visita il sito: st.com/careers

ShopFully · Italy; Spain

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.

Leonardo · Napoli - Pomigliano, 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 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:

STMicroelectronics · Greater Noida, IN

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

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 1. You design and build agentic AI–driven expert systems that enable predictive and autonomous decision making in manufacturing. 2. Develop agent based and multiagent AI systems that can plan, decide, and act on behalf of operators, equipment, or production lines. 3. Design reasoning and decision policies that leverage rules, optimization, and learning to handle complex, real time manufacturing scenarios (e.g. dispatching, scheduling, routing, quality control). 4. Use simulation and digital twins to model production flows, equipment behavior, and system constraints, and to safely test and refine agent strategies before deployment. 5. Integrate predictive models (e.g. for demand, machine health, cycle time, yield) into expert systems to support proactive and prescriptive decisions. 6. Collaborate closely with process owners, planners, and equipment engineers to translate operational knowledge into rules, heuristics, and agent objectives. 7. Evaluate agentic AI solutions using KPIs such as throughput, WIP, cycle time, OEE, and cost, and iteratively improve performance. 8. Document architecture, algorithms, experiments, and support presentations, publications, and IP creation related to expert and agentic AI systems. YOUR SKILLS & EXPERIENCES 1. Bachelor or master’s in computer science, AI, Data Science, Operations Research, Industrial/Electrical Engineering, or similar. 2. Strong foundation in AI and machine learning, with exposure to at least one of: 1. Reinforcement learning / multiagent RL 2. Planning and decision making under uncertainty 3. Rule based or knowledge-based systems 3. Experience with Python and AI/ML ecosystems (e.g. PyTorch, TensorFlow, scikitlearn, RL libraries). 4. Familiarity with simulation and modeling of manufacturing or logistics systems (e.g. discrete event simulation, agent-based simulation, digital twins). 5. Understanding of operations research / optimization (e.g. scheduling, routing, resource allocation) is a strong plus. 6. Comfortable working with real operational and equipment data, including cleaning, feature engineering, and validation. 7. Strong analytical and conceptual skills, able to formalize complex shopfloor logic into rules, constraints, and agent objectives. 8. Collaborative, curious, and proactive, able to work with cross functional teams and incorporate domain expert feedback into AI systems. 9. English business proficiency, both written and spoken, for documentation, stakeholder discussions, and technical presentations. 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.

Arduino · Turin, IT

## Company: Qualcomm Europe, Inc. Italy Branch Office ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Arduino’s mission is to help people enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world have been using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more. We are looking for a talented Edge AI Engineer to design and evolve the software layers that power Arduino’s high-performance Linux platforms. We believe in hiring collaborative smart people who are excited to push boundaries. You will join an inclusive team of technology specialists passionate about bringing Machine Learning to the Edge, focusing on the integration of AI models and the development of robust, containerized model pipelines for Linux-based embedded platforms. ### ## What we offer: * A challenging career path in a rapidly growing company with modern vision and talented teams. * A competitive salary that values people skills and experience. * A young and inspiring work environment that encourages diversity and cultural exchange. * Individual growth objectives with a dedicated budget for learning/training. * Flexible working hours and working locations, we value work-life balance! * A meaningful work opportunity in a mission-driven company committed to empower people around the world. ## ## And if you live near one of our offices… * Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!). * Seasonal celebrations, happy hours and everyday drinks and snacks at the office. * Sunny rooftop lunch breaks and hamacas for relaxation and concentration. ### ## What you'll work on: As a part of a team of talented engineers, you will: * Design and develop containerized AI model runners and execution environments for high-performance Linux embedded platforms. * Build Python-based libraries and frameworks to simplify the integration of complex AI inference engines for the Arduino community. * Optimize ML model deployment pipelines, ensuring efficient resource utilization on constrained hardware. * Collaborate with Software Architects to define technical solutions using the latest software development technologies and infrastructure. * Guarantee consistency, efficiency and high quality to the Arduino codebase ensuring automated testing coverage and performing code reviews. * Deliver value through a strong collaborative approach working in a cross-functional team, contributing finding creative solutions to enhance Arduino applications and tools. ### Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. ## What you’ll bring: * BS/MS in Computer Science, Artificial Intelligence, or other technical related fields. * 5+ years of software development work experience. * Strong experience in Python development, specifically for creating production-grade libraries and tooling. * Deep knowledge of Containerization (and Docker) within the context of Linux systems. * Familiarity with AI Inference Engines (TensorFlow Lite, ONNX Runtime, …), local LLM frameworks (Ollama, llama.cpp, …) and model optimization techniques (quantization, pruning, fine tuning, …). * High motivation and interest in pushing the boundaries of current technologies. * Deep understanding of performance optimization and hardware-software interaction. ### ## Bonus Points: * Experience in developing C and C++ applications for embedded environments. * Knowledge of MLOps practices and model deployment lifecycle. * Experience with Kubernetes (k3s/k8s) and cloud-to-edge orchestration. * Experience in the IoT field or with IoT protocols (MQTT, gRPC). * Knowledge of Arduino or similar electronics. If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyways. If we feel you don’t fit for this job we may have something else for you! *References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

STMicroelectronics · Crolles, FR

Chez STMicroelectronics, nous sommes convaincus que la technologie est un moteur d’innovation et a un impact positif pour les entreprises, les personnes et la société. En tant qu’acteur mondial des semiconducteurs, nos technologies de pointe et nos composants électroniques sont invisibles mais au cœur du monde d’aujourd’hui. Rejoindre ST, c’est intégrer une entreprise internationale riche de plus de 115 nationalités, présente dans 40 pays, et rassemblant plus de 50 000 talents passionnés et engagés, tous unis par la volonté de créer et d’inventer la technologie de demain. Innover demande bien plus que des compétences techniques : cela nécessite des personnes inspirantes, qui savent collaborer avec respect et enthousiasme. Des collaborateurs animés par la passion, prêts à remettre en question le statu quo, à faire avancer l’innovation et à révéler leur plein potentiel. Venez vivre cette aventure avec nous et contribuez à construire un futur plus intelligent et plus durable, en alliant responsabilité et innovation. Notre technologie commence avec vous. A propos de vos missions * Vous serez intégré au sein de l'organisation “Global Technology R&D, Technology and Design Platform” en collaboration avec les equipes qui délivrent l'environnement de design pour les groupes produits et les equipes de validation Silicium qui development et mesurent sur silicium les technologies les plus avancées utilisées au sein de STMicroelectronics. * Vous devrez analyser des données issues de mesures sur silicium soit de véhicules de validation interne et/ou mesurées sur des systèmes sur puce (SoC) de groupe produit. * Le development de modèle idéalement basé sur des principes d'intelligence artificielle (Machine Learning) pour analyser ces données et le nombre minimal d'echantillon pour assurer que ce modèle est valide. * Le but étant d'assurer une mise à jour de l'environement de design (modèle du transistor, marge de design, … ) pour optimiser la performance, la puissance et la surface des plateformes de conceptions. A propos de vous * Diplôme d'ingenieur ou equivalent en électronique ou physique des composants. Idéalement en logique CMOS et comportement des transistors * Competence de base en langage informatique simple (python, tcl, …) * Connaissance en Machine learning ou autres techniques d'intelligence artificielle pour traitement de données massive. * Travail d'equipe, communication, autonomie 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.