Senior Architecture Energy Modeling Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 136,000 - 265,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team. You will develop ML-based power models to analyze and reduce power consumption of NVIDIA GPUs, collaborating with architects, designers and performance engineers to build energy-efficient designs.

You should have strong Python and C++ skills, a background in ML/AI, and a solid understanding of computer architecture.

Qualifications

• MS or PhD in Electrical/Computer Engineering or Computer Science.
• Strong scripting and programming skills in Python and C++.
• Background in machine learning, AI, or statistical modeling.

Responsibilities

• Develop machine learning based power models to analyze and reduce GPU power usage.
• Work with architects, designers, and performance engineers on energy-efficient GPUs.
• Develop and own methodologies to train models using ML and/or statistics.
• Improve model accuracy with different representations and algorithms.
• Estimate data movement power/energy across design stages and bridge to silicon.
• Integrate power models into performance and power reporting platforms.
• Develop tools to debug energy inefficiencies in workloads on silicon/RTL.
• Prototype new architectural features and build energy models for them.
• Suggest studies to improve GPU perf/Watt.

Skills

Python

C++

ML/AI

Computer Architecture

Verilog

Education

MS/PhD in Electrical Engineering, Computer Engineering or Computer Science

Job description

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.

We are now looking for a Senior Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team! Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms.

Key responsibilities

include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs.

What you'll be doing:

• Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
• Identify key design features and workloads for building Machine Learning based unit power/energy models.
• Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
• Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
• Develop methodologies to estimate data movement power/energy accurately.
• Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
• Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
• Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators.
• Identify and suggest solutions to fix the energy inefficiencies.
• Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
• Identify, suggest, and/or participate in studies for improving GPU perf/watt.

What we need to see:

• MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.
• 5+ years experience.
• Strong coding skills, preferably in Python, C++.
• Background in machine learning, AI, and/or statistical modeling.
• Background in computer architecture and 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 their runtime and memory complexities.
• Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
• Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
• Good verbal/written communication and interpersonal skills.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 25, 2026.

We have some of the most forward-thinking and hardworking people in the world working for us.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.