Location : Pisa, Italy / (direct contract / consultant)Position OverviewThe Pisa Research Center is Huawei's cutting-edge R&D hub for automotive intelligence, dedicated to developing next-generation AI-powered intelligent driving and in-vehicle experiences.We are seeking a technical visionary with pioneering contributions and outstanding influence in the AI systems domain to lead our international R&D team. As a recognized authority in this field, you will spearhead breakthrough AI foundation technologies, solve the industry's most challenging technical problems, and establish new standards for automotive AI computing platforms.Core ResponsibilitiesAI Inference System Strategy - Lead the architecture planning and technology roadmap for edge AI inference systems, driving industry technical direction and supporting Huawei's leadership in automotive AILarge Model Deployment Architecture - Tackle key technical challenges for large AI model deployment in resource-constrained environments, solving inference efficiency and performance challenges in automotive scenariosAI System Reliability Research - Develop automotive-grade AI system reliability and security frameworks, establish automotive AI system safety standards, and support critical intelligent driving applicationsHeterogeneous Computing Optimization - Create AI acceleration architectures for various computing platforms including Ascend and Kunpeng, breakthrough performance bottlenecks, and achieve competitive advantagesAI Foundation Software Ecosystem - Plan AI foundation software technology roadmaps and ecosystem development, build open innovation platforms, and form long-term technical competitive advantagesProfessional RequirementsMaster's degree or higher in Computer Science, Artificial Intelligence, or related fields5+ years of professional experience in AI system architecture or system optimizationProficiency in C / C++ or Python programming languagesExperience in AI foundation software development, such as edge inference engines, model optimization, quantization, or compiler optimizationFamiliarity with mainstream deep learning frameworks (TensorFlow / PyTorch) and edge inference frameworksPractical experience in AI edge inference engine development and optimizationKnowledge of heterogeneous computing (CPU / NPU / GPU) environments for AI acceleration optimizationUnderstanding of automotive electronics architecture and intelligent cockpit / autonomous driving system requirementsPreferred QualificationsPhD in Computer Science, Artificial Intelligence, or related fieldsIdeally 10+ years of in-depth professional experience in AI system architecture or system optimizationPublications in top-tier conferences (such as NeurIPS, ICLR, OSDI, ASPLOS) or technological patentsParticipation in the development of renowned AI frameworks or inference enginesContributions in AI compiler optimization, neural network acceleration, or model compressionIn-depth research in AI inference reliability, security, or privacy protectionOutstanding technical leadership skills with ability to guide technical teams toward significant breakthroughsExperience working in large multinational companiesAt Huawei, we offer globally competitive compensation packages, abundant technical resources, and the unique opportunity to shape the future of automotive AI computing. Join us to become a driving force in the revolution of automotive AI technology.What We OfferWe offer you an exciting professional career in one of the leading and fastest growing multinational telecommunication companies, challenging work and a competitive salary package. Personal development is ensured through many training opportunities in Western Europe and abroad.Privacy StatementWe therefore commit to protecting your privacy following the local legal data privacy legislation. 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 (If you have any queries in regards to Huawei WEU Data Privacy please feel free to contact our WEU Data Protection Officer by clicking here (Huawei is an Equal Opportunity Employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or any other legally protected status. All qualified applicants will receive consideration for employment without regard to these characteristics. We are committed to creating an inclusive and diverse workplaceJ-18808-Ljbffr
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