Join NVIDIA's Architecture Energy Modeling Team as an experienced professional with a strong background in VLSI, digital design, and computer architecture to study and implement energy modeling techniques for next-generation GPUs, CPUs, and Tegra SOCs. Your daily tasks will include defining tools and methodologies for data generation from post-layout netlists, developing infrastructure for high correlation accuracy, integrating power models with performance tools, identifying limitations in existing flows, mining performance data, collaborating with various design teams, experimenting with ML techniques to answer design questions, enabling efficient storage and retrieval of data, and visualizing data using platforms like PowerBI. Proficiency in Python and C++, along with a deep understanding of power consumption and low-power design principles, is essential, as is experience with machine learning and statistical modeling to enhance the energy efficiency of NVIDIA's products.
Skills
Python
C++
PowerBI
OpenSearch
ML
AI
SQL
VLSI
Digital_design
Computer_architecture
Low_power_design
RTL_design
Tape-out
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 with 5+ years of experience in VLSI, digital design, and computer architecture.
Strong coding skills in Python and C++.
Expertise in power and energy consumption concepts and low-power design techniques.
Understanding of chip design process from RTL to tape-out.
Experience formulating and analyzing algorithms for runtime and memory efficiency.
Background in machine learning or statistical modeling preferred.
Market check
Salary context
This
$136,000–$218,500
range sits above
60%
of similar postings on FindRole.
Peer median band
$130,000–$203,720
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$134,325–$207,093
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.
Us, Ca, Santa Clara, US15 days ago
$168,000–$264,500
Python
AI
ML
EDA
LLMs
Data Science
Power Modeling
Transistor Device Physics
System-Level Optimization
Silicon Validation
HW-SW Co-Design
CPU/GPU/SoC Architecture
Codesign Engineering
Post-Silicon Bring-Up
Frequency and Power Characterization