Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience in the hardware industry or equivalent research.
Experience with low-power dynamic and leakage, power estimation, data analytics and profiling.
Experience in flow automation (e.g., Python, C, C++, Gemini).
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.
Knowledge of CPU microarchitecture and system level design.
Knowledge of power management concepts, including retention, Dynamic Voltage and Frequency Scaling (DVFS).
Knowledge of CPU benchmarking, performance analysis and engaged study.