Power Methodology and Modeling Engineer - New College Grad 2026

About the role

As a member of the Architecture Energy Modeling Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us understand energy usage in graphics and AI workloads and make improvements in architecture, design, and power management.

Responsibilities

• Define and implement tools and methodologies for efficient data generation from post layout netlists to feed into data movement power analytical model.
• Develop tools and infrastructure to sanitize each metric in the model to achieve high correlation accuracy.
• Define and implement tools and methodologies for efficient integration of power models with performance tools.
• Identify runtime and memory limitations of existing flows and tools to speed up model delivery process.
• Mine data from pre- and post-silicon performance runs to find important data paths and bottlenecks.
• Give feedback to design teams and improve power efficiency.
• Work with floorplan, performance, verification and emulation methodology and infrastructure development teams to integrate data movement power models.
• Experiment with various ML techniques to answer what-if design questions and set proper power/energy targets for next generation chips.
• Enable efficient storage and retrieval of data from database.
• Enable easy visualization of data using platforms such as PowerBI, OpenSearch.

Requirements

Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering or equivalent experience.

Strong coding skills, preferably in Python, C++.

Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.

Understanding of VLSI, digital design, and computer architecture concepts.

Basic understanding of fundamental concepts of power and energy consumption, estimation, and low power design.

Basic understanding of chip design process from RTL design to tape-out.

Background in machine learning, AI, and/or statistical modeling is a plus.

Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.

Qualifications

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $116,000 - $189,750 for Level 2, and $136,000 - $218,500 for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 9, 2026.

This posting is for an existing vacancy.