Leonardo · Roma - Via Tiburtina, 965, Italy

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

Leonardo · Edinburgh, United Kingdom

Job Description: Salary Range: £53,000 - £65,000 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. Your impact Are you passionate about turning complex data into powerful business decisions? Join our team and help shape the future of data-driven decision-making by delivering advanced analytics, predictive modelling, and business intelligence solutions that influence strategic and operational outcomes across the organisation. This role offers the opportunity to work with diverse stakeholders, modern analytics technologies, and large-scale datasets to unlock valuable insights and drive measurable business impact. What you will do as a Data Scientist You will play a key role in transforming data into actionable intelligence, helping the business identify opportunities, mitigate risks, and make informed decisions. Key responsibilities include: Developing and implementing predictive models and machine learning algorithms to support strategic and operational decision-making. Analysing large volumes of structured and unstructured data to identify trends, risks, and opportunities. Validating, monitoring, and optimising analytical models to ensure accuracy, reliability, and business value. Collaborating with stakeholders across product, operations, technology, and business functions to shape and deliver data-driven solutions. Designing, building, and maintaining interactive dashboards and automated reporting solutions. Extracting, transforming, and integrating data from multiple sources while ensuring data quality and integrity. Translating business challenges into analytical approaches, selecting the appropriate methodologies, tools, and techniques. Delivering descriptive, diagnostic, and predictive analysis to support management and business decision-making. Applying data science and analytics best practices, including documentation, governance, and reproducibility. What you'll bring We're looking for a data professional with strong technical and analytical expertise who can transform complex datasets into meaningful business outcomes. Essential skills and experience: Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik. Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration, and data quality management. Experience working with large, complex structured and unstructured datasets. Knowledge of statistical analysis techniques and their application to real-world business problems. Understanding of data architecture principles and the processes required to support effective data delivery and reporting. Proven ability to translate business requirements into analytical solutions and actionable insights. Experience creating dashboards, self-service reporting, and visualisations that support decision-making. Desirable: Experience with data governance, model management, and analytics best practices. Professional certifications in data management, analytics, business intelligence, or related disciplines (e.g. DAMA International or equivalent). This is an excellent opportunity to use advanced analytics and data science techniques to influence business strategy, improve operational performance, and deliver meaningful outcomes across the organisation. 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 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! Primary Location: GB - Edinburgh Additional Locations: GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Luton - Cap. Green 300, GB - Newcastle, GB - Southampton Contract Type: Permanent Hybrid Working: Hybrid

STMicroelectronics · Agrate Brianza, IT

OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world. Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential. Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you. ABOUT THE PROJECT Intercom systems are used in environments where communication must remain clear even in the presence of strong and dynamic background noise. In many practical use cases, the noise is non-stationary and can vary rapidly over time, making its suppression particularly challenging. Recent approaches combining digital signal processing (DSP) and machine learning have shown strong potential for improving noise cancellation performance. However, there is still room to explore more effective methods, especially for dynamic and real-world intercom scenarios. In this internship, the student will work within an R&D team on the research and development of noise cancellation solutions for intercom applications. The objective is to investigate and compare DSP-based and AI-based approaches, with the goal of improving speech clarity and robustness in challenging acoustic conditions. YOUR ROLE * You contribute to the research and development of a noise cancellation solution for intercom applications. * You take part in exploring and evaluating different DSP and machine learning strategies for removing dynamic background noise from speech signals. * You contribute to the implementation of experiments in Python and MATLAB, including data processing, algorithm development, training, validation, and performance analysis. * You help assess the behavior of the proposed methods on realistic intercom scenarios and support the identification of the most promising technical directions for further development. YOUR SKILLS & EXPERIENCES * The candidate is currently pursuing, or has recently completed, a Master’s degree in Signal Processing, Computer Science, Computer Engineering, Electronic Engineering, or a related technical field * Strong programming skills in Python * Good experience with PyTorch or another major machine learning framework * Good knowledge of MATLAB * In-depth knowledge of digital signal processing * Good understanding of deep learning fundamentals * Strong interest in audio processing, speech enhancement, and noise cancellation * Experience working with audio signals 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 · Agrate Brianza, IT

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

STMicroelectronics · Muar, MY

OUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world. Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential. Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you. YOUR ROLE Implementing and monitoring and improving operations security infrastructure to protect systems, networks, machines and applications from cyber threats. Perform vulnerability assessments and penetration testing and simulation. Develop and maintain security policies, standards and procedures. Conduct security risk assessments and compliance audits. Automate security monitoring and incident response processes. Design and develop automation system for manufacturing equipment. Document automation processes and standards. Maintain automation tools and equipment in good condition. Develop and deploy AI and machine learning solutions to resolve manufacturing problems. Develop AI-powered automation solutions to improve operation efficiency. Evaluate emerging AI technologies and deploy suitable solutions for operations. Collaborate with manufacturing data scientist (MDS) group and equipment engineering & automation department (EEA) and maintenance engineers to deliver AI solutions for operations. Oversee and supervise all maintenance, PM and AM activities at assembly manufacturing and ensure all equipment running at their best performance standard. To define and improve Work Instructions for PM and AM activities. Managing the machine performance (OEE, MTBI, MTBF) and unscheduled down time (TUD). Coach, train and develop Technicians and Manufacturing Specialists to meet current and future business requirements. Improving equipment up time OEE, MTBI and MTBF. Ensure all maintenance staff adhere to safety policy and procedures. Oversee spare parts stocks for Preventive Maintenance and unscheduled downtime. Looking for new ways/tools/parts to improve productivity and cost. Driving and Managing improvement and automation projects related to equipment and tooling. YOUR SKILLS & EXPERIENCES Bachelor’s Degree in Engineering fields in Mechanical, Electrical, Electronics, E&E, or Mechatronics. Bachelor’s Degrees in Computer Science, Cybersecurity or related field. Minimum 2 years working experience in maintenance related fields. Fresh graduate is also encouraged to apply. Ability to work in a dynamic and fast-paced environment. Excellent leadership and management skills. Excellent problem-solving skill. Excellent communication, interpersonal skills and decision making. Knowledge in schematic diagram, pneumatics, PLC, equipment FMEA, RCM will be added advantage. ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.

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

Leonardo · London - Whitehall, United Kingdom

Job Description: Salary Range: £40,000 – £71,400 basic with a 12.5% uplift 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. Your impact Our Central London team is looking for talented and enthusiastic analysts to perform weapon system assessments for our UK Ministry of Defence (MOD) customer. The role will suit either recent STEM graduates, postgraduates, or those with relevant industry experience of systems engineering who wish to apply their abilities in a technical analysis and systems assessment environment. You will help ensure that MOD’s weapon assessments are robust and delivered in a timely manner to UK Defence partners and front-line forces. This is intended as a fulltime position, but we would consider part time working of 4 days per week. This is primarily an on-site role with some possibility for hybrid working. Customer Integration: You will be a member of a weapons project team within our larger Defence Analytics Group working in Central London. The group is integrated into a joint unit with government employees, members of the armed forces, and other contractors. The Challenge: To conduct analysis to assess the performance and capability of weapon systems. Complex problems are solved through the application of scientific methods, physical principles, data analytics, and AI and Machine Learning to intractable data sets. This process may involve new techniques and their encapsulation in improved tools. Collaboration: You will be working in close liaison with teams within the UK and partner nations, with the opportunity to contribute, influence, challenge and improve joint ways of working and knowledge. Breadth: You will be working in an environment where both the complexity and capabilities of the systems are continually evolving throughout the world. What you’ll do as a Defence Analytics Engineer: Conduct analysis through the application of physical principles to real world problems. This will be facilitated through the suite of in-house software tools and the development of ad-hoc software, primarily in Python. Production of reports and presentations of your work and presentation of them to local MOD customers and the wider community both within the UK and partner nations. Provide ad hoc advice and support to MOD customers, often at short notice. Use your developing experience and knowledge to propose and implement improvements to tools and processes. In conjunction with the project team conduct regular liaison with both MOD and the wider customer base to keep them informed of recent developments and to determine future analysis requirements. Seek co-operative and collaborative approaches with our UK and multi-national partners, identifying best practice. Travel for technical exchanges with our partners, in the UK and abroad. What you’ll bring A good understanding of scientific methods and their use through the application of fundamental physical principles. A degree in a STEM subject and strong numerical and analytical skills, with the ability to apply these to real world problems. Good Interpersonal skills to facilitate collaborative and effective working within an inter-disciplinary team. Ability to problem solve and self-steer, work to deadlines as necessary, sometimes at short notice. Ability to communicate, both in writing and verbally, with audiences of differing technical backgrounds and seniority. Although not essential, an appreciation of aerospace technologies, such as aerodynamics, propulsion, guidance & control, weapon systems and sensors would be an advantage. Experience of Python, C# and AI/ML would be a distinct advantage. This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. 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) will apply, this will include meeting the eligibility requirements for The Security Check (SC) and 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 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! Primary Location: GB - London - Whitehall Contract Type: Permanent Hybrid Working: Onsite

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.

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.