About Huawei: Huawei Ireland Research Centre provides cutting-edge technologies and solutions through research and innovation, supporting a wide range of businesses for Huawei at global scale, including Artificial Intelligence, Cloud reliability and Infrastructure efficiency. Huawei Consumer BG continues to focus on intelligence and interaction and devote efforts to developing the intelligent solutions of the future, to bring about tremendous improvements to the user experience. About the Role: Huawei Ireland Research Centre is seeking a Research Scientist in the domain of NLP, LLM, and AI in general. In this role, you will be working alongside other research scientists for conducting cutting edge research and development in the area of AI and NLP for solving the most complex challenges in cloud services and user experience management. You will be working on LLMs and their application on real-life problems for error-correction, recommendation and chatbot solutions. Responsibilities: Work with business experts and scientists to build LLM models for application oriented NLP problems to drive business growth and commercial impact. Develop research problems to advance state of the art techniques. Prototype models to quantify and demonstrate the impact of input changes; seek optimal results through optimization techniques. Dataset acquisition and model evaluation and iteration to showcase its value. Development of small-scale software prototypes based on AI technologies, and benchmark alternative solutions. Work closely with Domain Experts, Data Engineers, and AI researchers. End-to-end AI solution development for related products. Publish paper in related conferences, and file patents as required. Qualifications: Advanced education degree (Ph.D. preferred) in Mathematics, Statistics, Computer Science, or related fields. Strong knowledge in LLM and NLP domain (AI/ML in general). Prior research publications in related areas. Strong coding skills (e.g. Python, pyTorch, etc.) Excellent problem solving ability. Good verbal and written communication skills. #J-18808-Ljbffr
About the job We’re looking for an exceptional technical leader to define, implement, and champion the adoption of next-generation Reliability KPIs across Huawei Cloud. In this high-impact role, you'll have the opportunity to shape how we measure and incentivize engineering efforts around reliability, ensuring a clear alignment between customer experience and cloud system performance. This position requires not only deep technical expertise in cloud reliability but also the ability to influence senior leadership (at the SVP and CTO level) and drive large-scale organizational change. If you're passionate about aligning cloud infrastructure with business objectives through data-driven decision-making, this is the challenge you've been waiting for. The Cloud Reliability Lab at the Huawei Ireland Research center has a mission to bring world-class reliability to Huawei Cloud by solving cross-functional problems that span hardware, software, networking, monitoring, and operations. We have teams working in all these areas with a diverse mix of people including industry veterans, academic researchers, and Ph.D. student interns. In your role, you will collaborate with the local research teams, other European research centers, and other engineering teams spread across the globe. Responsibilities Lead the definition and evolution of Reliability KPIs across all Huawei Cloud services, ensuring they correlate with real-world customer experiences and organizational objectives. Guide the evolution of existing observability platforms in Huawei Cloud to balance the trade-offs between observability coverage, system performance, and operational cost. Build scalable solutions for high availability in observability systems themselves. Integrate Critical User Journeys (CUJs) into observability systems to ensure the reliability of the most critical customer-facing workflows. Evolve incident management practices to have a stronger alignment with Reliability KPIs, driving improvements in the incident response processes. Work cross-functionally with engineering, product, and operations teams to ensure observability and reliability best practices are embedded throughout the software lifecycle, from development to production. Drive large-scale organizational change to improve reliability culture across all engineering teams. Requirements 10+ years of experience in cloud infrastructure, with 5+ years in architect or leadership roles. Proven expertise in architecting and defining Reliability KPIs in hyperscale cloud environments, ensuring they map directly to business outcomes (customer experience, service uptime, cost optimization). Deep understanding of distributed systems development, maintenance, debugging, and the trade-offs involved in building observability solutions at scale. Experience in driving organizational change around observability, reliability practices, and incident management. Exceptional communication skills, with the ability to align teams around a shared vision for cloud reliability and observability, while also influencing senior leaders to prioritize reliability in business and operational decision-making. Optional: Familiarity with the open-source observability tooling ecosystem (Prometheus, Grafana, Thanos, Clickhouse, OpenTelemetry, etc.) #J-18808-Ljbffr
Location : Dublin, Ireland About Huawei Huawei’s products and services are available in more than 170 countries and are used by a third of the world’s population. Huawei Consumer Business Group (CBG) is one of Huawei’s three business units and covers smartphones, PCs and tablets, wearables and cloud services, etc. Huawei Mobile Services (HMS) is part of CBG and develops new cloud services offered free of charge to Huawei mobile device users. HMS ecosystem is now the third largest ecosystem in the world with more than 96,000 global apps integrated with HMS Core. HMS Apps continues to launch globally, with content apps such as HUAWEI Music, HUAWEI Video, HUAWEI Themes, HUAWEI Reader and HUAWEI Game Center taking centre stage in various countries and regions. About the IRC Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and global information and communications technology (ICT) solutions provider. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts focusing on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects. About the Team We are a multidisciplinary team combining expertise in computer science, mathematics, and economics, all united by a shared passion for advancing the field of recommender systems. With a dynamic, enthusiastic, and can-do attitude, we tackle every challenge with creativity and energy. We pride ourselves on a collaborative, multicultural environment, where improvement and innovation are at the core of everything we do. About the Job As a Machine Learning Engineer, you will play a key role in developing and deploying product features, tasks, and models. Your primary responsibility will be to ensure the smooth operation of production pipelines, utilizing internal tools effectively. You will also be expected to offer suggestions and optimize the production workflow. Additionally, you will support the development of complex algorithms and models using large, real-world datasets to drive the success of the project. You will regularly collaborate with Huawei Headquarters to stay updated with state-of-the-art advancements and ensure global version consistency. Responsibilities Ensure the continuous operation and stability of production pipelines, troubleshooting issues and optimizing workflow efficiency. Develop, maintain, and optimize deep learning-based recommender system models for various use cases, such as click-through rate (CTR) prediction. Collaborate with data scientists to transform data science prototypes into production-ready solutions, perform statistical analyses, and assess the online performance of these models in large-scale environments. Continuously interpret model performance and recommend adjustments to improve prediction accuracy, scalability, and overall business impact. Building, maintaining, and optimizing training-ready features from raw data to improve model training performance. Work cross-functionally with multiple teams to enhance the overall performance of the advertising recommender framework, ensuring alignment with the latest advancements and business needs. Requirements PhD/Master's degree in a quantitative discipline (e.g., Computer Science, Information Systems, Mathematics, Statistics, Physics, and Bioinformatics) Experience applying advanced Machine Learning and Artificial Intelligence techniques to real-world and large-scale problems is highly preferable. Solid foundation in Machine Learning, with a deep understanding of the underlying algorithms, theories, and mathematical principles. Strong programming skills in Python and SQL, with applied experience in Deep Learning frameworks such as Keras, TensorFlow, and PyTorch. Programming skill in Java is a plus. Experience and knowledge in Hadoop, Spark, and Hive are preferred. Work experience in Online Advertising, Search Engines, or Recommender Systems is preferred. Chinese speaking is a plus to ease your communications with Huawei Headquarters. #J-18808-Ljbffr
Ireland/Dublin - Technology Consumer Cloud Service Dept Position Responsibilities Overview The cloud provides flexible and low-cost IT resources across the Internet. As more cloud providers seek to drive greater business outcomes and the environments of the cloud become more complicated, it is evident that the era of intelligent cloud has arrived. Recent advancements in Machine Learning and AI such as deep learning hold the promise for solving some of the most complex challenges in cloud management. Proactive anomaly detection, dynamic and intelligent resource allocation, intelligent fault diagnosis, and network demand prediction are among the challenging problems in this space. The Huawei Ireland Research Centre is starting a new research team that will focus on researching and developing AI algorithms for solving these complex challenges leveraging the recent advancements in AI. This position expects a strong AI background with deep algorithmic knowledge in areas such as anomaly detection, reinforcement learning, and supervised and unsupervised learning algorithms. The team will have access to large real datasets collected from Huawei devices across Europe and will utilize Big Data processing infrastructure as needed (e.g., GPUs, Spark Clusters). The Ireland-based research team will work closely with the Huawei Consumer Business Group (CBG) at Headquarters, which covers smartphones, PCs, tablets, wearables, mobile broadband devices, family devices, and device cloud services. CBG is the second largest smartphone manufacturer in the world, dedicated to delivering the latest technologies to consumers and sharing the happiness of technological advances with more people globally. Location: Dublin Key Responsibilities Design, develop, and maintain scalable and high-performance backend systems and APIs for research projects. Collaborate with team members, such as frontend developers and product managers, to define and implement features and improvements. Write clean, efficient, and well-documented code that is easy to maintain and scale. Ensure the security, performance, and reliability of backend services. Troubleshoot and debug issues in production and development environments. Continuously optimize backend systems to handle increased traffic and provide a seamless user experience. Stay updated with the latest technologies and contribute to the overall improvement of backend systems. Position Requirements Skills & Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. At least 2 years of backend development experience with proficiency in Python. Strong communication skills and the ability to work in a collaborative team environment. Good understanding of backend development principles, algorithms, and data structures. Familiarity with machine learning and large language models. Experience with relational databases (e.g., MySQL, PostgreSQL) and GraphDB databases (e.g., NebulaGraph, Redis). Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes). Proficient in designing and building RESTful APIs and microservices. Experience with version control systems such as Git. Strong problem-solving skills and attention to detail. Experience in AIOps is a great plus. Notice: Applicants must be eligible to work in Europe, HUAWEI CANNOT currently sponsor any work permit applications. #J-18808-Ljbffr
We are looking for a talented Graphics Research & Developer for an exciting opportunity in our Game Rendering Lab in Dublin. The candidate will take part in researching and co-developing new, scalable and novel solutions to improve performance of mobile games and mobile GPU rendering algorithms on Huawei’s Harmony OS. A major focus of this work is on providing solutions to scalability issues our partners in the gaming industry are facing right now and researching algorithms that will enable future developments to run exciting graphics beyond the current capabilities on our devices. You will work within an international and fast-paced team of expert researchers and engineers, working on deeply technical problems in direct collaboration with product teams in China, partners and customers using our devices for deployment. Responsibilities: Research, prototype and develop product-ready mobile graphics algorithms for existing performance issues identified in games, and prototype new developments identified from current trends. Design, implement, analyse and deploy computer graphics algorithms for mobile games, enhance performance and battery life of Huawei products. Identify key developments and trends in mobile computer graphics research from SIGGRAPH, Eurographics, EGSR, JCGT, i3D and many others, and propose new solutions to key issues in game engine graphics related fields to advance to current state-of-the-art. Propose solutions to challenges (technical-) artists face in production and drive novel improvements. Devise a technical implementation plan based on these proposals and take responsibility for ensuring that it is successful and converted into production. Maintain communication with academia and industry partners with a focus on analysing potential benefits to product goals from collaboration. Qualifications: A strong passion for Computer Graphics and drive to deliver easy-to-use, hard-to-break rendering solutions for artists at scale. BSc., MSc. or PhD in Computer Science, Computer Graphics or Video Game Development. Strong understanding of computer graphics fundamentals (Shading, Rasterization, Culling etc.). Strong understanding in mobile CPU and GPU graphics optimization. Solid experience with HLSL/GLSL, Vulkan/GLES3. Excellent C++ coding skills with 3+ years of experience in software engineering. Hands-on experience with Unity, Unreal 4/5, Godot or other game engines used for mobile games and relevant debugging tools such as RenderDoc, Pix, NVIDIA NSight or similar. Excellence in communicating results and drawing actionable insights. Collaborative and team working skills, good at communicating with the larger open-source community. Additional Skills: Prior involvement in game engine development (Unity, Lumberyard, Unreal 4/5 or in-house engines) is a heavy plus. Experience with data-oriented design and ECS is a plus. Ability to translate research paper ideas into working code and solve complex problems while considering end-user requirements. Metal and/or DX12 experience is a plus. Prior experience with graphics development on Android or iOS is a heavy plus. ONLY CANDIDATES WHO MAY LIVE AND WORK IN EUROPE WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION. DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED. #J-18808-Ljbffr
We are looking for a talented Graphics Research & Developer for an exciting opportunity in our Game Rendering Lab in Dublin. The candidate will take part in researching and co-developing new, scalable and novel solutions to improve performance of mobile games and mobile GPU rendering algorithms on Huawei’s Harmony OS. A major focus of this work is on providing solutions to scalability issues our partners in the gaming industry are facing right now and researching algorithms that will enable future developments to run exciting graphics beyond the current capabilities on our devices. You will work within an international and fast-paced team of expert researchers and engineers, working on deeply technical problems in direct collaboration with product teams in China, partners and customers using our devices for deployment. Responsibilities: Research, prototype and develop product-ready mobile graphics algorithms for existing performance issues identified in games, and prototype new developments identified from current trends. Design, implement, analyse and deploy computer graphics algorithms for mobile games, enhance performance and battery life of Huawei products. Identify key developments and trends in mobile computer graphics research from SIGGRAPH, Eurographics, EGSR, JCGT, i3D and many others, and propose new solutions to key issues in game engine graphics related fields to advance to current state-of-the-art. Propose solutions to challenges (technical-) artists face in production and drive novel improvements. Devise a technical implementation plan based on these proposals and take responsibility for ensuring that it is successful and converted into production. Maintain communication with academia and industry partners with a focus on analysing potential benefits to product goals from collaboration. Qualifications: A strong passion for Computer Graphics and drive to deliver easy-to-use, hard-to-break rendering solutions for artists at scale. BSc., MSc. or PhD in Computer Science, Computer Graphics or Video Game Development. Strong understanding of computer graphics fundamentals (Shading, Rasterization, Culling etc.). Strong understanding in mobile CPU and GPU graphics optimization. Solid experience with HLSL/GLSL, Vulkan/GLES3. Excellent C++ coding skills with 3+ years of experience in software engineering. Hands-on experience with Unity, Unreal 4/5, Godot or other game engines used for mobile games and relevant debugging tools such as RenderDoc, Pix, NVIDIA NSight or similar. Excellence in communicating results and drawing actionable insights. Collaborative and team working skills, good at communicating with the larger open-source community. Additional Skills: Prior involvement in game engine development (Unity, Lumberyard, Unreal 4/5 or in-house engines) is a heavy plus. Experience with data-oriented design and ECS is a plus. Ability to translate research paper ideas into working code and solve complex problems while considering end-user requirements. Metal and/or DX12 experience is a plus. Prior experience with graphics development on Android or iOS is a heavy plus. #J-18808-Ljbffr
About Huawei Huawei’s products and services are available in more than 170 countries and are used by a third of the world’s population. Huawei Consumer Business Group (CBG) is one of Huawei’s three business units and covers smartphones, PC and tablets, wearables and cloud services, etc. Huawei Mobile Services (HMS) is part of CBG and it develops new cloud services that are offered free of charge to Huawei mobile device users. HMS ecosystem is now the third largest ecosystem in the world. As of September 2020, 96,000 global apps have integrated with HMS Core. HMS Apps continues to launch globally, with content apps such as HUAWEI Music, HUAWEI Video, HUAWEI Themes, HUAWEI Reader and HUAWEI Game Center taking center stage in various countries and regions. About the IRC Huawei Ireland Research Centre (IRC) mission is to position Huawei as a recognized technology leader and a global provider of information and communications technology (ICT) solutions. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts with focus on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects. Responsibilities: In charge of the whole procurement process for category-based supplier selection (mainly responsible for General procurement, Admin procurement and Production procurement), lead the bidding, negotiation and price comparison strategies; Manage and coach the procurement team to understand the core value of procurement, cost effective negotiation skills and the risks of procurement contract clauses; Negotiate prices with vendors to obtain the best price for products or services; Coordinate with other departments to ensure all purchases meet the company’s needs; Determine which vendors are most qualified to meet the company’s needs for products or services; Provide management reports and key performance data and monitor cost savings on a monthly basis; Coordinate with the legal department to draft contracts with suppliers; Build, maintain and manage supplier relationships and keep up good communications; Report on achievement of targets, new work plans and identify any potential risks for the company on a regular basis; Answer all invoices and payment inquiries from suppliers, also monitor the payment progress. Requirements: Bachelor degree in supply chain management, business management or related field. Higher qualification is a plus; 5 to 10 years’ experience. At least 2-3 years purchasing experience in telecommunication company or other global company; Good English speaking, reading, and writing skills, and Mandarin is a plus; Good knowledge of purchasing, negotiation, commercial understanding and cost breakdown; Excellent time management skills and ability to multi-task and prioritize work; Attention to detail and problem-solving skills; Strong organizational and planning skills in a fast-paced environment; Proficiency in MS Office Suites including MS Word, Excel, and Outlook; Strong work ethic and desire to achieve excellence; Work from Office (Dublin) 5 days per week. #J-18808-Ljbffr
Location : Dublin, Ireland About Huawei Huawei’s products and services are available in more than 170 countries and are used by a third of the world’s population. Huawei Consumer Business Group (CBG) is one of Huawei’s three business units and covers smartphones, PCs and tablets, wearables and cloud services. Huawei Mobile Services (HMS) is part of CBG and develops new cloud services offered free of charge to Huawei mobile device users. HMS ecosystem is now the third largest ecosystem in the world with more than 96,000 global apps integrated with HMS Core. HMS Apps continues to launch globally, with content apps such as HUAWEI Music, HUAWEI Video, HUAWEI Themes, HUAWEI Reader and HUAWEI Game Center taking centre stage in various countries and regions. About the IRC Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and global information and communications technology (ICT) solutions provider. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts focusing on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects. About Huawei Petal Ads Petal Ads is a smart marketing platform for Huawei devices. It provides marketing and traffic monetization services for advertisers and publishers worldwide to help them achieve business growth and improve brand value. It does this by leveraging Huawei's "1+8+N" all-scenario ecosystem, Huawei apps' marketing capabilities, massive premium third-party traffic, and powerful ad technologies. By now, Petal Ads has cooperated with advertisers spanning 200+ industries, while more than 60,000 apps with more than 730 million monthly active users worldwide have integrated Ads Kit. About the Role In this role, you will contribute to impactful projects, explore innovative approaches to building recommender systems, and apply cutting-edge technologies to deliver the most relevant items to users. Key Responsibilities Design and implement recommender system algorithms, ensuring they meet the business and user needs Conduct literature reviews and stay up to date with the state-of-the-art in recommender system research Acquire and prepare datasets for model training and evaluation Develop practical and innovative models for real-world applications Evaluate models, iterate on them, and enhance their performance Produce technical documentation, research papers, or patent applications as needed Navigate project ambiguities and effectively communicate with internal teams and stakeholders Build demonstration systems to showcase model effectiveness Requirements Proven experience in recommender systems development Strong programming skills in Python, R, C, or C++ Passion for data science, machine learning, and AI technologies Research experience, or a PhD, in Computer Science, Mathematics, or Statistics Ability to work independently, with good project management skills Track record of publications in top-tier conferences or journals ONLY CANDIDATES WHO MAY LIVE AND WORK IN IRELAND WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION. DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED. Privacy Statement Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received. http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html #J-18808-Ljbffr
About the job : At Huawei Cloud, we're revolutionising the way cloud systems operate. We're seeking a Senior Architect to join our cutting-edge AIOps team in Dublin. In this role, you'll spearhead the research and development of advanced solutions for observability, incident response, system optimisation, and fault prediction for planet-scale cloud infrastructure. Your expertise will be crucial in building an AI platform that pushes the boundaries of autonomous cloud operations. The Cloud Reliability Lab at the Huawei Ireland Research Centre has a mission to bring world-class reliability to Huawei Cloud by solving cross-functional problems that span Hardware, Software, Networking, Monitoring and Operations. We have teams working in all these areas with a diverse mix of people including industry veterans, academic researchers, and Ph.D. student interns. In your role, you will collaborate with the local research teams, other European research centers, and other engineering teams spread across the globe. Responsibilities: Technical Leadership: Lead the long-term technical roadmap for Huawei Cloud's management plane systems. Apply cutting-edge AI techniques to improve detection, diagnosis, optimisation and prediction capabilities. Product Management: Drive Cloud AIOps product strategy and feature prioritisation with the goal of customer adoption. Transition R&D breakthroughs into shippable products. Cross-Functional Collaboration: Lead local Dublin team and build partnerships across Applied Research and Product teams. Manage relationships with key partners in Huawei's HQ. Problem Solving & Innovation: Leverage expert knowledge in reliability/performance of cloud systems to solve problems at scale. Lead the design and architecture of AIOps systems for Huawei Cloud. Requirements: PhD or Master's degree in Computer Science, Applied Mathematics, Operations Research, Statistics or similar field. 10+ years of experience in DevOps, SRE, or adjacent domains, with at least 5 years focused on cloud infra architecture. Experience in applying cutting-edge analytics and optimisation techniques to large-scale distributed systems gained at a public cloud provider. Hands-on technical contributions in areas such as anomaly detection, fault localisation, root cause analysis, observability data insight generation etc. Exceptional communication skills with a track record of influencing senior stakeholders. Optional: Publications in academic journals, conference papers, or patents. #J-18808-Ljbffr
