Architecture Energy Modeling Engineering Intern - 2027
Core
Develop energy models for NVIDIA GPUs and Tegra SOCs to analyze and reduce power consumption across architectural, RTL, and emulation platforms.
Role type
Intern, IC energy modeling engineer
Builds
Energy-efficient GPU architectures and power management methodologies
Domain
Semiconductor / Computer Architecture / Power Efficiency
Deliverable
production ML models
Required skills
Python, C++, Machine Learning, Statistical Modeling, Algorithm Analysis, Verilog, ASIC Design Principles
Preferred skills
Computer Architecture, Energy-Efficient GPU Design, Quantitative Analytics
Technologies
Python, C++, Verilog, ML frameworks
Responsibilities
Develop methodologies to select and run workloads for training energy models; Improve accuracy of energy models under process, timing, and layout constraints; Correlate predicted energy from models with silicon results; Prototype new architectural features and analyze system impact; Debug energy inefficiencies in workloads run on silicon and simulators; Integrate energy models into architectural simulators and emulation platforms.
