דלג לתוכן הראשי

Computing Network & System Architecture Group Leader

Technology
חברה בתחום הייטק / חומרה / תוכנה / סייבר
חיפה, ישראללפני חודש
משרה מלאה

תיאור המשרה

Required Computing Network & System Architecture Group LeaderIn this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.Responsibilities:You will perform a wide range of duties including:Architecture Innovation:Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.Technical breakthroughs in networking and cluster routing algorithm:Analyzes computing cluster network performance and leads the development of computing cluster network technologiesResearch and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsetsResponsible for the research of data center network technologies, and guide network topology design and routing algorithm developmentGroup leadership:Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutionsManage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goalFoster a collaborative and innovative work environmentProvide technical guidance and support to team membersCollaborate closely with cross-functional teams internationally, including hardware, software, and ucode design teams, to ensure alignment of architectural decisions with product and platform common objectivesInitiate and supervise collaborations with top academic researchers in Israel and abroadStay up to date with emerging technologies and industry trends in AI, HPC and big data industriesדרישות: At least 10 years of hands-on experience in system architecture design, or equivalent research experienceDemonstrated experience in leading R&D teamFamiliarity with high-performance computing cluster services and system architectures, such as AI, HPC and big data.In-depth understanding of computer networks, communication libraries, and design of AI or HPC cluster networksKey qualifications you hold include:Ability to work in a team environment; actively seek out resolution to issues with the team and work co-operatively to build a coherent system; Team-working and excellent inter-personal communication skills.High level of self-reliance and an autonomous target-oriented work style, can do attitude, eager to learn new things and ready to think outside the boxAbility to work on a schedule, even for un-schedule-able issues such as inventivenessExperience with network system of AI, HPC or big data clusterDemonstrated capability in several items from the list below:o Deep understanding of computer network protocol and network topology of computing clustero Familiarity with communication library, such as OpenMPI/NCCLo Extensive experience in leading the network architecture design of computing clustero Experience with implementing routing algorithmo Familiarity with network specifications of CPU/Network Processing Unit/ Neural Processing Unit/Switch chipFluent in written and spoken EnglishAdvantage:You hold a Doctors degree or above in the field of computer science, electrical and electronic engineering or in a similar background in Research & DevelopmentPublications in reputed jou המשרה מיועדת לנשים ולגברים כאחד.

Keywords
Open MPIHPCCCluster analysisBig dataData cluster

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