Qualcomm CPU Architecture and Performance Engineer - Hsinchu, Taiwan in Taiwan
Company:Qualcomm Semiconductor Limited
Job Area:Engineering Group, Engineering Group > ASICS Engineering
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. The main responsibility of this position is to improve performance and power/area efficiency of world-class microprocessor for mobile and portable computers. The potential areas to work include: Function and performance model development Performance projection and competitive analysis Performance bottleneck analysis Benchmark and workload characterization Performance, Power, and Area trade-offs study CPU and Machine Learning architecture/micro-architecture research Minimum Qualifications Master's, Electrical Engineering, Computer Engineering or Computer Science, emphasizing on computer architecture or artificial intelligence/machine learning Good knowledge on in-order/out-of-order CPU microarchitecture, and/or machine learning framework, algorithm, and architecture Proficient in C/C++ and scripting programming Good communicator in verbal and writing in English Preferred Qualifications Doctorate, Electrical Engineering, Computer Engineering or Computer Science, emphasizing on computer architecture or artificial intelligence/machine learning, or Master's, Computer Engineering or Computer Science, with 5+ years of related industry experience Hands-on experience with microarchitecture modeling and simulator development Deep knowledge on in-order/out-of-order CPU microarchitecture Experience in benchmark workload characterization and/or performance bottleneck analysis Familiar with ARMv8 architecture Familiarity with computing software, including operating systems, hypervisors, drivers, etc.
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