GPU Performance Verification Engineer, Senior Staff

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. Responsible for pre-silicon performance analysis and closure on state of art GPU design using trending graphic/compute/AI benchmarks. Work closely with design/arch/model teams on GPU pipeline bottleneck analysis and propose hw/sw optimizations to improve PPA. Contribute to pre-silicon execution with additional benchmark functional coverage. Virtual GPU bring-up using hardware accelerated emulation system to enable other sw/hw teams on pre-silicon functional execution. Analysis of performance and architectural bottlenecks in the GPU designs Work with GPU Design and Architecture Teams to understand concepts and performance bottlenecks in GPU. Implement data analytics using Python. HW-SW co-verification, simulation, simulation-acceleration, emulation, benchmark analysis, big-data analytics are all tools in our verification toolbox you will use on a daily basis. Skills and experience we would love to see GPU pipeline, System Verilog, Python, C/C++ skills required RTL design experience and/or very strong SoC architecture background Experience working with System Level Architecture Teams to understand Performance Requirements and Bottlenecks Experience with analyzing performance issues in Software and Hardware Data analysis using Python and Data Visualization