Senior Data Engineer

Contractors Needed For AI ResearchThe AI Platform team at the Huawei Research America is seeking contractors to conduct fundamental and applied research in intelligent data analytics, hardware/co-processor acceleration, large scale platform optimization, cloud-based AI framework, service-oriented intelligence, and distributed computing systems. We are interested in all components of a large scale Big Data Analytics system and AI Platforms, including but not limited to machine learning algorithms, large scale data analysis frameworks, architectural acceleration, performance optimization on multicore/GPU/FPGA, open source big data ecosystems, big data visualization, etc. We are leading researchers and engineers from worldwide to create adaptive and high performance big data and AI engines for real applications, such as financial fraud detection, anomaly detection in security control, acceleration in telecommunication networks, user-behavior modeling, etc. This position enables one to work with team members with backgrounds in analytics and systems, distributed systems, business intelligence, parallel architecture, etc., as well as collaborating with academic partners in universities. We encourage researchers actively creating software/systems to solve real-world problems, and contributing to high-quality open-source communities, and actively publishing papers. We are recruiting senior data scientist/engineers with multi-disciplinary backgrounds to contribute to the growth of the company and the success of our society.Responsibilities:Design, develop and improve acceleration techniques for heterogeneous platformsWork with team members providing technical leadershipImplement and benchmark large scale AI algorithms over xPU/FPGAImprove performance of our adaptive engine on various platformsProvide technical guidance to your fellow team membersPreferred Technical and Professional Experience:3+ years experience in development on FPGA/ASIC/GPU2+ years experience in distributed/parallel computing environment1+ years experience in machine learning or data analyticsExperience in Big Data frameworks, database server development is a plusBasic knowledge in linear algebra, deep learning, statisticsRequired Education: MS or Doctorate Degree