Graduate ML Hardware Power and Performance Engineer
Core
Develop technology to drive next-generation mobile devices and intelligent systems by analyzing and optimizing hardware performance and power efficiency for ML and Neural Network workloads.
Role type
Graduate Hardware Power and Performance Engineer
Builds
Next-generation Arm IP for mobile devices and consumer products
Domain
Semiconductor hardware design and Machine Learning
Deliverable
production ML models
Required skills
Hardware performance analysis, Power consumption optimization, Workload characterization, Scripting (Python), Digital hardware understanding, Computer architecture knowledge, Low-power build concepts, Physical implementation knowledge, Static timing analysis, Machine Learning fundamentals
Preferred skills
Hardware description languages (SystemVerilog, VHDL), AI workflow agents, Place & Route, Synthesis
