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Computing and Storage Engineer

更新时间:2018-10-02

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职位描述

Join the pioneering team of China's first hardware open source project, the Scorpio project, and become the leader in computing and storage technologies in the cloud computing, and the designer of the next generation of computer architecture. Be responsible for the design, development and optimization of Baidu's server computing system, storage system, high performance computing system and high-speed interconnected system. Your responsibilities will include but not be limited to: - Responsible for developing computing systems, storage systems, and high-speed interconnect architectures that match very large-scale distributed platforms - Responsible for developing quantitative performance analysis methods and platforms, software and hardware integration system architecture design - Responsible for the development of self-developed SSD, high-performance storage array, high-performance distributed shared file system - Responsible for cross-platform application migration and performance optimization of different chip architectures such as X86, ARM, OpenPower

职位要求

- Proficient in more than 1 languages, such as C/C++/Python/Shell/PHP/JAVA in Linux environment, and strong programming skills Or master the hardware electronic design, and be proficient in using at least one EDA tool - BS in Computer Science, Architecture, Software Engineering, Communication Engineering, Network, or equivalent. - It is best to have a spirit of exploration and strong hands-on ability. - Strong learning ability and knowledge transfer ability Added item: - Ability to demonstrate in-depth understanding of computer architecture, familiar with compiler theory, and optimization experience in assembly level. - Experience developing storage devices such as SSD and XPOINT - Experience developing and optimizing Linux kernel or related - Experience developing ARM, GPU FPGA - Experience developing board level hardware project - Familiar with distributed computing and storage technologies, such as HADOOP, SPARK



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