below marketmost similar roles pay hereabove market
This role pays less than
62%
of similar roles. Most pay
$168,500–$233,400
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$201k
for comparable roles.
Based on 240 similar postings.
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Power Analysis and Optimization Engineer joins the team to improve energy efficiency for GPUs and Tegra SoCs. This role involves analyzing full-chip and unit-level power using RTL and gate-level tools to drive architectural improvements. You will develop power-aware models and productionize flows using machine learning, reinforcement learning, and large language models for anomaly detection and design-space exploration. Key responsibilities include training LLMs to interpret power data, prototyping architectural features in Verilog, and automating pipelines using Python, Perl, and C++. You will collaborate with cross-functional teams to root-cause power bugs and optimize energy consumption across various workloads. The work focuses on applying data-driven AI models to power architecture, specifically addressing the challenges of scaling AI and graphics workloads in accelerated computing.
Silicon Power and Thermal Controllers
Firmware
DVFS
Power Characterization
Performance Analysis
Digital Design
Circuit Analysis
CPU/GPU/SoC Architecture
PTPX
data-analysis
Statistics
AI Productivity Tools
Validation
ATE
ASIC Power Analysis
SOC Power Modeling
Python
Verilog
System Verilog
Machine Learning
GenAI
LLM
RTL
Physical Design
Computer Architecture
Signal Processing
Silicon Power Measurement
Low Power Design
Automation