Graduate ML Hardware Power and Performance Engineer
Core
Develop technology to drive next-generation mobile devices, consumer products, and intelligent systems by analyzing and optimizing hardware performance and power efficiency for ML and Neural Network hardware.
Role type
Graduate Hardware Power and Performance Engineer
Builds
Next-generation Arm IP for mobile devices, consumer products, and intelligent systems
Domain
Semiconductor hardware design, Machine Learning, Artificial Intelligence
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, Synthesis, Place & Route, Static timing analysis, Machine Learning fundamentals
Preferred skills
Hardware description languages (SystemVerilog, VHDL), AI workflow agents building
Technologies
Arm IP, Python, SystemVerilog, VHDL
Responsibilities
Collaborate with design, verification, and implementation engineers; Develop scripts and tools to automate analysis; Characterize workloads and investigate performance bottlenecks; Examine architectural choices impact on power, performance, and area.
Seniority
Graduate, entry-level IC
