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 Digital Engineering & Sustainability siamo alla ricerca di un/una Sofware Engineer per il nostro sito di Pomigliano d'Arco (NA). Attività principali: Manutenzione e supporto dei Proprietary tool di Ingegneria; Manutenzione ordinaria sui Proprietary Tool di Ingegneria per supporto attività relativi a: Gestione delle non conformità velivolo e Richieste di deroga in ambito sperimentale; Gestione dei difetti su velivoli di serie; Valutazione fornitori; Catalogo Formativo di Ingegneria; Processi di nome e deleghe per l’Ingegneria Bugfix e supporto ordinario all’operatività dei Proprietary Tool di Ingegneria. Implementazione e sviluppo di nuove funzionalità; Titolo di studio: Laurea triennale in Ingegneria Informatica o Aeronautica o Aerospaziale o Meccanica Livello di esperienza richiesto: Expert Competenze tecniche: Esperienza in ambito sviluppo SW come full stack developer con le seguenti hard skill: Conoscenza dei Ambienti/Linguaggi/Framework di seguito elencati: Classic ASP; SQL / SQL Server; Python – Django, Flask; Java – Spring, Hibernate; Javascript - JQuery; HTML - Bootstrap; Design Pattern; Docker; Conoscenze ed esperienze nel campo della programmazione ad oggetti; Conoscenze ed esperienze nell’utilizzo di REST API; Conoscenze ed esperienze nell’utilizzo di Design Pattern; Conoscenza di gestione SO Linux; Gradita esperienza con Machine Learning; Gradita conoscenza del tool Redmine. Competenze comportamentali: Persona proattiva, con buone doti organizzative e capacità di lavorare in autonomia relativamente agli aspetti di competenza, con attitudine al lavoro in team, e capacità di interfacciarsi con altre figure aziendali. È fondamentale l’attitudine all’apprendimento on the job dei tool attualmente in uso da Ingegneria. Conoscenze linguistiche: Buona conoscenza dell’inglese 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:

Musixmatch · Bologna, IT

ABOUT MUSIXMATCH: Musixmatch is the leading music metadata company, featuring the world’s largest lyrics catalog and a community of over 80M contributors. Musixmatch is the trusted global  partner of companies like Spotify, Apple, Amazon Music, Meta, Google, MTV, Shazam, Vevo, Tidal, Snapchat and has a partnership with more than 100,000 music publishers including Sony/ Music Publishing, Universal Music Publishing, Warner/Chappell, Kobalt, BMG Rights, and the Harry Fox Agency. We are a bunch of creatives who care about our work and what we do.  We believe that participation and collaboration are key to getting things done well.  We are looking for tech-savvy people who are eager to learn in a fast-paced environment, who have an international outlook on life, and who love taking on new challenges. Position: We are looking for a Backend & Cloud Infrastructure Intern to join our team. This role is ideal for someone who wants hands-on experience building real backend services and working with modern cloud infrastructure. You’ll contribute directly to live systems, APIs, and integrations, learning how production environments actually work.   This is an extracurricular internship (tirocinio extracurriculare) lasting 6 months, with a monthly reimbursement of €800.   Responsibilities: Build and maintain RESTful APIs using Python and FastAPI Design backend services with attention to performance, scalability, and clean structure Work with PostgreSQL and Redis for data storage, caching, and session management Integrate AWS services such as S3 and SES using boto3 Contribute to authentication and authorization flows (OAuth 2.0, JWT) Support AI-related backend features using Amazon Bedrock APIs Collaborate with frontend developers to ensure smooth API integration Work within a CI/CD pipeline and infrastructure managed via Terraform Debug, test, and improve existing backend services Requirements: Good knowledge of Python Basic understanding of APIs and web development concepts Familiarity with databases (SQL or NoSQL) Interest in cloud technologies (AWS is a plus) Understanding of Git and collaborative development workflows Problem-solving mindset and willingness to learn Ability to work in English

STMicroelectronics · Napoli, 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.. Role We are looking for a Digital Verification Engineer – SoC to join our MDRF-RFOC-DVCC Digital Verification team in Naples, dedicated to the digital verification of complex SoC/IP for automotive / industrial applications. The selected candidate will work on SystemVerilog UVM testbenches, firmware / drivers in C, and Python scripts for automation, contributing to the entire verification cycle: from strategy definition to environment creation, up to coverage analysis and debug. Within the team we also use AI-assisted tools and methodologies to accelerate development, debug, and results analysis, and we expect the candidate to be curious and interested in leveraging these technologies in day-to-day activities. Main Responsibilities * Define, in collaboration with architects and designers, the verification strategy at IP and/or SoC level. * Develop and maintain UVM testbenches in SystemVerilog (environment, agent, sequencer, driver, monitor, scoreboard). * Write and integrate C tests for subsystem and SoC verification in simulation and/or emulation environments. * Develop Python scripts (and, when needed, bash/Tcl/Perl) for: * regression automation, * post-processing of results, * coverage analysis and report generation. * Perform functional debug of failing test cases, interacting with the design (RTL) team and system architects. * Run and debug gate-level simulations with SDF back-annotation, analyzing timing-related issues and collaborating with design and implementation teams to identify and resolve problems. * Analyze and manage functional coverage and code coverage, proposing new tests or testbench improvements to meet quality targets. * Use AI-assisted tools and workflows for: * generation and review of testbench code and scripts, * log analysis, * debug acceleration. * Contribute to the continuous improvement of verification flows (methodologies, common libraries, guidelines, best practices). * Produce clear and structured documentation for: * verification specifications, * testbench architecture, * test plans, * key results. Technical Requirements Mandatory (must-have) * Degree in Electronic Engineering, Computer Engineering/Science, Physics with an electronics focus, or related disciplines. * Solid knowledge of digital verification of integrated circuits (RTL concepts, testbench, stimuli, checkers, coverage). * Hands-on experience with SystemVerilog and UVM methodology: * development of UVM components (sequencer, driver, monitor, scoreboard), * environment configuration, * sequence and virtual sequence management. * Good command of the C language for verification-oriented test/firmware driver development. * Experience with Python for scripting and automation. * Good knowledge and practical use of the Unix/Linux environment (shell, file system, batch jobs, compilation, basic scripting). * Familiarity with major digital simulators (e.g. Cadence Xcelium, Synopsys VCS, Siemens Questa). * Basic knowledge of version control flows (Git, SVN, DesignSync). * Good command of written and spoken English. * 5-8 years of experience in the role Desirable (nice-to-have) * Experience with SoC/IP verification (AMBA/AXI/APB/AHB buses, memory interfaces, peripherals, interrupt controllers, DMA, etc.). * Basic knowledge of machine learning / AI and use of AI tools for: * code generation, * log analysis, * test and scenario creation. * Knowledge of formal verification techniques (e.g. property checking, assertion-based verification) and familiarity with formal tools. * Experience in ISO 26262 environments. * Knowledge of other scripting languages (bash, Tcl, Perl) and related EDA tools (lint, CDC, STA) is a plus. Personal Skills * Analytical mindset and strong problem-solving attitude. * Attention to detail and strong product quality orientation. * Ability to work in cross-functional teams (design, architecture, emulation, firmware). * Proactivity in proposing flow improvements and automation. * Willingness to learn new technologies, particularly AI tools and methodologies applied to engineering. * Good communication and technical documentation skills. 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

Lexroom · Milan, Italy

At Lexroom.ai http://Lexroom.ai, we set the bar for legal AI—clear, fast, and built for trust. In just a few years, what began as an idea has become a reliable platform adopted by thousands of legal professionals across Europe. Our mission is clear: make the law faster, clearer, and more reliable, giving lawyers, law firms, and companies the time and confidence to focus on what truly matters. We’re growing fast, backed by top-tier investors and a world-class team committed to rigor, clarity, and impact. Today, Lexroom is a trusted partner, shaping the evolution of legal AI with the same rigor and precision that define our product. WHY LEXROOM.AI http://Lexroom.ai? - Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe. - Work with the Best: Collaborate with exceptional minds driven by competence, curiosity, and ambition. - Deliver Meaningful Results: Your contribution will empower legal professionals to make faster, clearer, and more reliable decisions worldwide. At Lexroom.ai http://Lexroom.ai, we leave buzzwords behind. Here, you’ll build something that lasts: a trusted platform, a strong reputation, a new standard for the legal world. WHAT YOU'LL DO - Design and build agent-driven and RAG-based AI systems to solve complex legal tasks with precision and efficiency. - Fine-tune and post-train LLMs using cutting-edge supervised and reinforcement learning techniques to raise response quality. - Develop and optimize large-scale search pipelines for LLM-powered agents. - Implement and refine NLP algorithms to extract, structure, and validate information from legal documents. - Run end-to-end evaluations to pinpoint bottlenecks, measure performance, and guide continuous improvements. - Work closely with legal experts to design evaluation protocols and build reliable, domain-specific datasets that strengthen every layer of the stack. - Maintain technical excellence by following established best practices, coding standards, and rigorous code-review processes. WHAT YOU’LL BRING - Proven expertise in building and managing robust ML pipelines. - Strong Python skills with hands-on experience in LLM research and deep learning systems. - Knowledge of search technologies such as full-text search, vector databases, or other large-scale retrieval systems. - Collaborative mindset and readiness to work with legal experts, researchers, and engineers to keep improving the product. - Familiarity with MLOps and integrating ML models into production backends (a strong plus). - Up-to-date with LLM innovation, ideally with experience in pre-training or deploying large-scale models in real-world scenarios. WHAT SETS US APART An Exceptional Team. At Lexroom.ai http://Lexroom.ai, you’ll work alongside top talent in tech and legal AI. Our focused teams operate with purpose and autonomy, so every contribution delivers visible results. You’ll collaborate with people who pair innovation with rigor, curiosity with discipline, ambition with depth. Growth that Matters. We hire exceptional people to make a difference—and we give them space to lead. As we scale, your work will shape the future of legal technology and set new standards for the field. Impact is defined by vision and execution, not by age or title. If you’re ready to take responsibility, you’ll find real opportunities to grow and lead high-stakes projects. Rewarding Your Contribution. We value excellence and share success: - Annual Salary Range: €45,000 – €100,000 - Equity Package: Align your growth with the company’s long-term success. BENEFITS THAT MATTER - Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Milan HQ. - Health Coverage: Comprehensive insurance to keep you secure and focused. - Meal Vouchers: Daily support for your lunch breaks. - Performance Bonuses: Rewards directly tied to measurable results. - Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas. **At Lexroom.ai http://Lexroom.ai, ambition meets discipline and purpose. We’re not just building a product—we’re setting a new standard for the legal world. If you’re ready to contribute to something lasting and meaningful, we’d love to hear from you.**

NeN · San Francisco, United States

Be one of the founding engineers at Nen, shaping the AI layer that powers automation across enterprise desktop environments at scale. The role - Build and extend a multi-model agent loop across leading AI providers - Benchmark models across cost, latency, and reliability — and own the framework for doing so continuously - Improve agent reliability through better perception, grounding, and structured context - Instrument traces and build the data foundation for future fine-tuning - Shape the Python workflow SDK so improvements are transparent to users Requirements - Hands-on experience building with LLMs in production - Strong Python; comfortable working across SDK, API, and model integration layers - Experience evaluating and benchmarking models with structured evals, not just vibes - Familiarity with agent architectures, tool use, and multi-step reasoning loops - Curiosity about the computer-use model landscape and how it's evolving fast

STMicroelectronics · SG

OUR STORY At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today. When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+, diverse and dedicated creators & makers of technology around the world! Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential. YOUR ROLE * Lead development of test strategy, test plan, and characterization plan for NPI product development * Collaborate actively with DFT team for DFT implementation * Define engineering and production test hardware, including wafer sort probe cards and final test loadboards * Develop test scenario files for test pattern simulation and generation * Manage 1st silicon bring-up, wafer sort, and final test program development, validation, data analysis, and reporting * Conduct product IP characterization, analyze results, prepare reports, and review with designers * Develop reliability, failure analysis, and characterization test programs * Work closely with designers, DFT engineers, and application engineers in Europe and Asia * Drive yield improvement, test time reduction, customer return analysis, and test solution platform migration YOUR SKILLS & EXPERIENCES * Degree in Electronics Engineering or related field * Minimum 5 years of experience in NPI test development * Proficient in test software development: C/C++, Perl, Python, Java * Good understanding of semiconductor front-end and back-end manufacturing processes * Experience with automated test equipment: T2000, 93000 EXAScale, Ultraflex+ * Knowledge of DFT, Scan, Memory BIST, NVM, mixed-signal testing, and microcontroller theory is a plus * Excellent communication and interpersonal skills * Detail-oriented and able to work effectively in multicultural/international teams * Strong analytical and problem-solving skills * Self-motivated, able to work independently under pressure to meet deadlines * Quick learner eager to grow hardware and software development skills * Familiar with statistical process control, data management, semiconductor yield analysis * Experienced with STDF software tools (Yield Explorer, Galaxy, Optimal Test) and Microsoft Office Working at ST means innovating for a future that we want to make smarter, greener, in a responsible and sustainable way. Our technology starts with you. Join us and start the future! To discover more, visit st.com/careers

Veliu · Milan, Italy

TRANSFORMING CIRCULAR ECONOMY EMBRACE OUR MISSION Circularity for everyone! We are on a mission to help people recover the value embedded in their pre-owned goods, transforming them into currency, and enabling brands to sell more sustainably. We’ve built a unique AI-powered, product-centric platform that connects retailers, consumers, and professional used-goods buyers. As we scale rapidly across Europe, we’re raising the bar for sustainability in one of the largest markets worldwide. LIVE BY OUR CULTURE We foster autonomy within our team, driven by our mission and the belief that 'culture eats strategy for breakfast.' In our view, agile management, long-term planning, and a deductive approach often fall short—only execution and tangible results truly matter. We believe in shared ownership of the company and learning through experimentation. JOIN OUR TEAM We are highly focussed on people and work relentlessly to put the best possible team together. Veliuers have worked in some of the best startups worldwide: Senso, Palantir, Reddit, Meta, Scalapay, Sibill, ScaleAi, Satispay and more! We secured our 4m USD pre-seed round in July 2025 and we have giga office in Milan (Italy). ROLE In this role, you'll be seen by the team as the go-to person for most of our data pipelines and data science/ML projects. This isn't a research-focused position — the workflows you build will be used in real-life, production applications that directly impact our users and partners. Your work will play a key role in powering our platform and driving meaningful results across the board. CORE RESPONSIBILITIES - Data Engineering: - Design, build, and maintain scalable data pipelines to collect, clean, and transform large volumes of structured and unstructured data. - Collaborate with the engineering team to develop efficient data storage solutions (e.g., data lakes, warehouses) and ensure smooth data flow for AI, data science and analytics use cases. - Data Science & AI/ML: - Develop, train, and deploy AI/ML models for prediction, recommendation, and optimization tasks, with a focus on Pricing, Risk Management and Catalog Management. - Continuously experiment and validate model performance, ensuring robustness and scalability in real-world applications. - Work on applied AI techniques such as natural language processing (NLP) or computer vision to enhance company products and services. SKILLS WE ARE LOOKING FOR - Experience with programming languages and tools (e.g., Python, SQL, Spark, Pandas, Polars) - Proficiency in data science and machine learning techniques (e.g., regression, classification, clustering, time series forecasting). - Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Spacy). - Passion for AI applications in fintech, sustainability, and the circular economy. - Nice to have: - Experience with cloud environment (e.g., AWS/GCP/Azure), cloud computing and ETL. - Experience with data visualization tools (e.g., Plotly, Seaborn) - Proficiency with version control (e.g., Git)