Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with chip industry.
3 years of experience in machine learning or Tensor Processing Unit (TPU).
Experience in cooperating with cross teams in chip design cycles from pre-silicon to post-silicon and workload analysis on the devices.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience in one or more related areas in on-device machine learning, Dynamic and Voltage and Frequency Scaling (DVFS) governor, scheduler, performance and power analysis, Graphics Processing Unit (GPU), Central Processing Unit (CPU).
Experience in automation programming (e.g., Python, Shell script etc.).
Experience in model break-down, pin-point bottleneck, and comparison with different platforms.
Experience in operator offloading implementation from Central Processing Unit (CPU) to Tensor Processing Unit (TPU) or Graphics Processing Unit (GPU).