Senior/Principal Researcher in Large Scale Systems and Applications

ppHuawei’s vision is to enrich lives through communication and intelligent innovation. /p pAs a global leader in information and communications technology (ICT), Huawei drives innovation in artificial intelligence, cloud computing, and smart device technologies. Through its Carrier, Enterprise, and Consumer business groups, the company delivers advanced Network Infrastructure, Cloud and AI Platforms, and industry-leading devices. /p pHuawei supports 45 of the world’s top 50 telecom operators and serves one-third of the global population, with operations in over 170 countries and a workforce of more than 200,000 employees. /p pHuawei Technologies Switzerland AG contributes to this innovation through cutting-edge research, with offices in Zurich and Lausanne focusing on High-Performance Computing, Computer Architecture, Computer Vision, Robotics, Artificial Intelligence, Neuromorphic Computing, Wireless Technologies, Networking, and related fields. /p pWe are a unique team of innovative, diverse individuals who have come together from multiple backgrounds to create advanced Computing Architectures for wireless and AI systems. The people who work here are generalists, and we complement each other. /p pOur primary mission is driving new fundamental research and innovation to achieve breakthroughs in future computing systems. /p pThe passion for exploring uncharted territory makes us thrive. /p h3Responsibilities /h3 ul liConduct research on future large-scale systems with an emphasis on applications and their performance in relation to memory systems and interconnects. /li liWork with product teams in both hardware and software to identify key workloads and bottlenecks and propose optimizations and features to improve performance, utilization, and efficiency. /li liIdentify opportunities for hardware/software co-design to accelerate modern workloads such as recommender systems, databases, AI, and cloud workloads. /li liImplement proof-of-concept prototypes and evaluate them on production-scale testbeds. /li liPrepare whitepapers and academic publications. /li /ul h3Minimum Requirements /h3 ul liPhD in computer science, computer engineering, or electrical engineering /li liDeep knowledge of modern enterprise applications such as recommender systems, serverless systems, and databases running on modern hardware /li liKnowledge of memory and networking systems (e.g., coherence protocols, virtual memory, page-table management, NUMA, CXL, RDMA) /li liAbility to develop and bring up applications and test on real systems /li liExperience with performance analysis and toolchains /li liAbility to evaluate existing literature to implement and expand existing state-of-the-art solutions /li liPapers in top-tier conferences or journals in relevant areas /li /ul h3Preferred requirements /h3 ul liExperience with operating systems (Linux kernel) /li liExperience with hardware virtualization /li liFamiliarity with emerging memory architectures, memory pooling, and disaggregation /li liHands-on experience in deployed cloud/enterprise systems /li liPractical knowledge in system-level simulation of enterprise workloads /li /ul h3Why join us /h3 ul liCollaborate with world-class scientists and engineers in an open, curiosity-driven environment; /li liAccess to state-of-the-art technology and tools; /li liOpportunities for professional growth and development; /li liCompetitive salary, and a high quality of life in Zurich, at the center of Europe; /li liLast but certainly not least: be part of innovative projects that make a difference. /li /ul /p #J-18808-Ljbffr