As an Sr. Architecture Energy Modeling Engineer at NVIDIA, you will join a team dedicated to enhancing the energy efficiency of NVIDIA’s GPUs, CPUs, and Tegra SOCs by developing advanced machine learning-based power models. Your daily tasks will involve collaborating with architects, ASIC design engineers, and performance teams to create methodologies for training accurate power consumption models using ML techniques. You will also work on integrating these models into architectural simulators and RTL simulations to predict energy usage early in the design cycle, enabling informed decisions that improve both performance and efficiency. Essential skills include proficiency in Python or C++, expertise in machine learning and statistical modeling, knowledge of computer architecture, and familiarity with Verilog and ASIC principles. Your contributions will be pivotal in optimizing NVIDIA’s next-generation products for superior energy efficiency.
Skills
Python
C++
Machine Learning
AI
Statistical Modeling
Computer Architecture
Verilog
ASIC Design Principles
Algorithm Analysis
Energy Consumption Estimation
Low Power Design
CI/CD
What you'll do
Develop machine learning-based unit power/energy models for NVIDIA GPUs.
Own methodologies and workflows to train power models using ML techniques.
Improve model accuracy by refining representations, objective functions, and algorithms.
Estimate data movement power/energy accurately across design stages.
Integrate power/energy models into performance platforms for combined reporting.
Debug energy inefficiencies in workloads run on silicon, RTL, and simulators.
What we're looking for
6+ years of experience in machine learning, AI, or statistical modeling.
Strong coding skills in Python and C++ required.
Background in computer architecture with focus on energy-efficient GPU designs.
Familiarity with Verilog and ASIC design principles preferred.
Ability to develop and improve ML-based power models for NVIDIA GPUs.
Experience in integrating power/energy models into performance platforms.
Good verbal/written communication skills and strong interpersonal abilities.
Market check
Salary context
This
$168,000–$264,500
range sits above
77%
of similar postings on FindRole.
Peer median band
$136,425–$213,925
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$216,250
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.