Вакансия: Cloud, Big Data, Neural Networks redundancy elimination – Senior Researcher (Saint Petersburg)

Город, регион, страна: Санкт-Петербург, Россия (населённый пункт) места работы.

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Компания: HUAWEI (организация, фирма, ИП);

Логотип (бренд, торговая марка, эмблема) компании (организации, фирмы, ИП):

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Дополнительное описание вакансии:
HW research center in Russia is looking for talents to join Cloud, Big Data, Neural Networks redundancy elimination competence team in Saint Petersburg. Primary focus of the team is to provide competitive solutions for the best customer satisfaction with various current and future products of HW. Successful candidates will conduct R&D and collaborate with R&D, marketing/sales/field/product teams in Russia and abroad in areas of Cloud, Big Data, Neural Networks redundancy elimination, as well as with teams in joint areas. Responsibilities: Analyze current and future market trends, synthesize requirements in areas of Cloud, Big Data, Neural Networks and joint areas for data redundancy elimination algorithms to be implemented in HW products Implement algorithms proof-of-concept for HW product requirements in areas of Cloud, Big Data, Neural Networks and joint areas for data redundancy elimination algorithms, prepare documentation and presentations for algorithms design and implementation, productize the algorithms Improve quality and performance of SW in current HW products for the best customer satisfaction in areas of data redundancy elimination Produce patents, submit publications for journals and conferences of high impact factor. Qualifications preferred, at least two required: Winner of ACM, Math competitions PhD/Master in Computer Science, Math, Physics etc Submitted patent applications, granted patents Being technical leader or architect in at least three research and/or productized SW projects Working abroad or in international SW projects Proven experience with Agile (full cycle) practices of SW development Measurable achievements in SW quality and/or performance improvements as compared to baseline, open source, or competing products Practical experience, or contribution to open source. Qualifications required: Abilities to analyze competing products, business cases and technologies, market trends. Preferable areas: Storage (Compute or Network is a plus), Cloud, Big Data, Neural Networks, data compression/ deduplication; Ability to synthesize requirements in fuzzily defined projects, e.g. based on informal input from sales/marketing/product teams; Abilities to stay focused on a project under minimal or no supervision and be flexible in changing environments; R&D, SW development experience. Preferable areas: Storage, Cloud, Big Data, Neural Networks, compression, deduplication algorithms; Proven ability to deliver and maintain product quality code in C/C++; Good non-verbal communication and interpersonal skills to work smoothly in diverse, inclusive and distributed teams; Good verbal, written communication skills in Russian and English languages. Our Conditions We are 129th from top500Fortune world companies We are the global No. 1 telecom solution provider serving 45 of the world's top 50 operators. Double digit % growth in revenues every year since 2006, now we reach almost $60 billion We invest in engineering and innovation a lot, about 80,000+ from our 170,000 global employees work in product and solution R&D across the globe, in 2015 invested nearly $8 billion in R&D As we have several contracting methods we can find the balance with you, between engineering work, your research activity at university or academy, and your private life. Compensation we offer is above of Russian average market level. For employees with good performance we offer additionally rate allowance that makes our compensation competitive on global market. Annual bonus for high performers up to ? from annual fixed salary. Time-based Unit Plan (TUP) is a profit-sharing and bonus plan. In 5 years TUP can become the most significant part of total cash compensation.

Вакансия № 4-1274203 относится к сфере деятельности: "Наука, образование" » "Инженерные науки".

Вы можете перейти к просмотру актуальных предложений работы выбранного населенного пункта с учетом сферы деятельности вакансии № 4-1274203: "Наука, образование в населенном пункте текущего места труда" » "Инженерные науки в населенном пункте текущего места труда".

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