Architecture Energy Modeling Engineer - New College Grad 2026

Details

NVIDIA is looking for an Architecture Energy Modeling Engineer to join the Power Modeling, Methodology and Analysis Team. The team researches, develops, and deploys methodologies and energy models that integrate into architectural simulators, RTL simulation, emulation, and silicon platforms. The role focuses on developing machine learning–based power models to analyze and reduce power consumption of NVIDIA GPUs and related SoCs, and on influencing architectural, design, and power-management improvements.

Responsibilities

• Collaborate with architects, ASIC designers, low-power engineers, performance engineers, software engineers, and physical design teams to develop energy-efficient GPUs and SoCs.
• Identify key design features and representative workloads for building ML-based unit power/energy models.
• Develop and own methodologies and workflows to train models using machine learning and/or statistical techniques.
• Improve accuracy of trained models by experimenting with different model representations, objective functions, and learning algorithms.
• Develop methodologies to accurately estimate data-movement power/energy.
• Correlate predicted energy from models built at different design stages to bridge early estimates to silicon.
• Integrate power/energy models into performance infrastructure to enable combined reporting of performance and power across workloads.
• Develop tools to debug energy inefficiencies observed on silicon, RTL, and architectural simulators; identify and suggest fixes.
• Prototype new architectural features, build energy models for them, and analyze system impact.
• Participate in studies to improve GPU performance-per-watt.

Requirements

• Pursuing or recently completed an MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
• Strong coding skills, preferably in Python and C++.
• Background in machine learning, AI, and/or statistical modeling.
• Background in computer architecture and an interest in energy-efficient GPU designs.
• Familiarity with Verilog and ASIC design principles is a plus.
• Ability to formulate and analyze algorithms and comment on runtime and memory complexities.
• Basic understanding of fundamental concepts of energy consumption, estimation, and low-power design.
• Desire to apply quantitative decision-making and analytics to improve product energy efficiency.
• Good verbal and written communication and interpersonal skills.

Benefits

• Base salary range (location- and level-dependent):
  • Level 2: 108,000 USD - 184,000 USD
  • Level 3: 136,000 USD - 212,750 USD
• Eligible for equity and company benefits.
• Applications accepted at least until August 22, 2025.
• NVIDIA is an equal opportunity employer and committed to diversity and inclusion.