Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with microprocessor architecture, microarchitecture, performance, and design.
Experience with performance modeling, analysis, correlation, and workload characterization.
Experience with CPU architecture (e.g., CPU block).
Experience with C/C++ and scripting languages.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on Computer Architecture, or a related field.
Experience leading CPU/Machine Learning microarchitecture exploration, performance model development, performance analysis, performance correlation, and workload characterization.
Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86).
Knowledge of system software components, such as Linux, drivers, and runtime.