Power Methodology and Modeling Engineer - New College Grad 2025

1 Week ago • All levels • Research & Development • $108,000 PA - $212,750 PA

Job Summary

Job Description

As a Power Methodology and Modeling Engineer at NVIDIA, you'll collaborate with various engineering teams to develop and implement energy modeling techniques for next-generation GPUs, CPUs, and SoCs. Responsibilities include defining and implementing tools for efficient data generation and integration with performance tools, identifying and resolving runtime limitations, mining data from silicon runs to improve power efficiency, experimenting with ML techniques for what-if analyses, and enabling efficient data storage and visualization. You'll work with post-layout netlists, power analytical models, and performance tools to optimize energy consumption in graphics and AI workloads. This role requires strong coding skills (Python, C++), a solid understanding of VLSI, digital design, and power management principles, and experience with data analysis and visualization tools.
Must have:
  • Strong Python/C++ coding skills
  • VLSI, digital design understanding
  • Power/energy consumption knowledge
  • Data analysis and visualization
  • Algorithm analysis skills
Good to have:
  • Machine learning experience
  • Statistical modeling expertise
  • Experience with PowerBI, OpenSearch
Perks:
  • Equity
  • Benefits

Job Details

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.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!

What you'll be doing:

  • 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 limitation of existing flows and tools to speedup 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. 

What we need to see:

  • Pursuing or recently completed a BS, 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.

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.

The base salary range is 108,000 USD - 212,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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