Напиши текст вакансии для должности "Graph Computing Research Engineer". Название компании: "HUAWEI". Расположение: Москва. График работы: Полный день. Опыт работы: Нет опыта. Ключевые навыки: 'Research', 'Graph Computing', 'Graph processing system optimization and acceleration', 'Graph representation learning algorithms', 'Graph Learning', 'Graph Mining', 'Graph Analytics', 'Graph Embedding', 'Graph Neural Networks', 'Graph Algorithms', 'Graph Processing', 'ML', 'DL', 'Machine Learning', 'Deep Learning'

Huawei Moscow Research Center Welcome to join our Graph Computing Group. The main responsibility of this group is to conduct research and development on cutting edge graph computing software and algorithm technologies, including but not limited to graph computing and learning framework, graph processing system optimization and acceleration, graph representation learning algorithms (e.g. graph embedding and graph neural networks). Key Responsibilities (at least one item for one position)    Research on distributed graph computing and learning framework key technologies and industry best practices, develop next generation graph processing framework, and new graph learning framework Research and develop new algorithms for graph learning, graph analytics and mining Work with other teams for an integrated solution Patent and publication     Required Qualifications     PhD degree in Computer science, Math, Physics, etc. OR Master/Bachelor degree with rich R&amp;D experiences in related topics Enthusiasm in building future graph computing technologies and new graph algorithms Skilled in at least one of the programming languages: Python, C++/C, Java, Scala etc. Ability to do scientific/engineering research both as a team member and as a single player, and quick self-leaning ability     Absolutely necessary skills (at least one item)    Deep knowledge and experience of at least one programming language and compiler, in particular domain specific language Deep knowledge and experience of machine/deep learning algorithms, or big data algorithms, in particular graph analytics or graph learning algorithms Deep knowledge and experience of parallel and distributed computing Deep knowledge and experience of computing system design and optimization, in particular hybrid or heterogeneous (such as CPU-GPU) computing architecture Deep knowledge and experience of high performance computing     Important skills that will be considered as a plus    International competition award winner Fluent English, excellent communication and leadership skills Ability to work in an international, diversified, cross-domain team environment The willingness and ability to travel are required     What we offer     Work with cutting-edge technologies &amp; challenging tasks in highly qualified international team Opportunity to collaborate with world academic organizations, participate in top international conferences (we also conduct own meetups and conferences, and develop professional communities) Opportunity to contribute to real products used by millions of people Competitive compensation + bonus Medical insurance with dental coverage Corporate discounts Non-working activities (running club, chess tournaments and many more)   Location    m. Smolenskaya, Moscow, Russia  Driving future technologies with focus on customer satisfaction is one of our missions Welcome to join us!  Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to sound operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in telecom and enterprise networks, devices, and cloud technology and services. Our ICT solutions, products, and services are used in more than 170 countries and regions, serving over one-third of the world&#39;s population. With 180,000 employees, Huawei is committed to enabling the future information society, and building a Better Connected World. At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. Our R&amp;D Institutes do research in mathematics, algorithms, software tools, in fundamental theory of math, physics, chemistry, biology, geometry, logic, thermodynamics, bionics, etc.