As a Senior Energy Modeling Engineer on NVIDIA’s Architecture Energy Modeling Team, you will work closely with cross-functional teams including Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to develop advanced energy modeling techniques for next-generation GPUs, CPUs, and Tegra SOCs. Your daily tasks include defining tools and methodologies for data generation from post-layout netlists, developing infrastructure for high correlation accuracy in power models, integrating these models with performance tools, and mining pre- and post-silicon performance data to identify bottlenecks and provide feedback to design teams. You will also experiment with machine learning techniques to predict energy consumption and improve chip efficiency, enabling efficient storage and retrieval of data from databases while facilitating easy visualization through platforms like PowerBI and OpenSearch. This role requires a strong background in Electrical or Computer Engineering, proficiency in Python and C++, and knowledge of VLSI, digital design, and power/energy concepts, with experience in machine learning being advantageous.
Skills
Python
C++
PowerBI
OpenSearch
VLSI
digital design
computer architecture
machine learning
AI
statistical modeling
database
CI/CD
What you'll do
Define and implement tools for generating data from post-layout netlists for power analytical models.
Develop infrastructure to sanitize metrics in power models to ensure high correlation accuracy.
Integrate power models with performance tools using efficient methodologies and tools.
Identify limitations of existing flows and tools to accelerate model delivery processes.
Analyze pre- and post-silicon performance data to identify bottlenecks and provide feedback for improvements.
What we're looking for
MS or PhD in Electrical/Computer Engineering or equivalent experience.
Strong coding skills in Python and C++.
Proficiency in VLSI, digital design, and computer architecture concepts.
Understanding of power and energy consumption estimation techniques.
Knowledge of chip design process from RTL to tape-out.
Experience with machine learning and statistical modeling (preferred).
Desire to apply quantitative methods for improving energy efficiency.
Market check
Salary context
This
$116,000–$189,750
range sits above
42%
of similar postings on FindRole.
Peer median band
$122,500–$198,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$133,375–$197,125
Middle half of comparable postings.
Based on 239 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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.