Architecture Energy Modeling Engineer - New College Grad 2026

What you'll do

• Build and improve ML or statistical energy models, including models for data movement, and correlate predictions across design stages with silicon results.
• Integrate energy models into performance infrastructure and develop tools to investigate and address energy inefficiencies across workloads and platforms.
• Collaborate on GPU architecture and design studies, prototype features, and assess their energy and performance impact.

What they ask for

• Pursuing or recently completed an MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
• Strong coding skills; Python and C++ are preferred.
• Background in machine learning, AI, and/or statistical modeling.
• Background in computer architecture and interest in energy-efficient GPU designs.

Nice to have

• Familiarity with Verilog and ASIC design principles.
• Ability to analyze algorithms’ runtime and memory complexity.

Pay

116,000 USD - 189,750 USD (base salary); 136,000 USD - 218,500 USD (base salary)

Tools

Python, C++, Verilog

AI focus

Develop machine-learning-based power and energy models to analyze and reduce power consumption of NVIDIA GPUs.