Senior Architecture Energy Modeling Engineer

Nvidia

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Santa Clara, CAAustin, TX
Salary: $168,000–$264,500 / yr
Posted: 154 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k

This role $216k

$136k most similar roles pay here $278k

This role pays more than 68% of similar roles. Most pay $165,937–$235,100 — the shaded band above. At the midpoint, this role pays about $216k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Architecture Energy Modeling Engineer

Role Posting Log in to save

As a Senior Architecture Energy Modeling Engineer on the Power Modeling, Methodology and Analysis Team, you will develop energy-efficient GPUs, CPUs, and Tegra SOCs by building machine learning based power models to analyze and reduce consumption. You will collaborate with architects, ASIC design engineers, and performance engineers to create methodologies for training models using machine learning or statistical techniques while improving accuracy through various algorithms. Your daily work involves estimating data movement power, correlating predictions across the design cycle, and integrating models into architectural simulators, RTL simulation, and silicon platforms. To succeed, you must possess strong coding skills in Python and C++, a background in machine learning, AI, and computer architecture, and an understanding of Verilog and ASIC design principles. You will ultimately identify energy inefficiencies and prototype new features to improve performance per watt for graphics and artificial intelligence workloads.

Skills

Machine Learning Python C++ Computer Architecture ASIC Design Verilog Statistical Modeling RTL Simulation Power Modeling GPU Design Low Power Design

What you'll do

Develop Machine Learning based power models to analyze and reduce GPU power consumption.
Create methodologies and workflows to train energy models using ML and statistical techniques.
Improve model accuracy by experimenting with different representations, objective functions, and learning algorithms.
Develop methodologies to accurately estimate the power and energy costs of data movement.
Correlate predicted energy from early design stages with actual silicon measurements.
Integrate power and energy models into performance infrastructure for combined reporting across various workloads.
Build tools to debug and resolve energy inefficiencies observed in silicon, RTL, and architectural simulators.
Prototype new architectural features and analyze their impact on system energy efficiency.

What we're looking for

MS degree (or equivalent experience) or a PhD in related fields.
6+ years of professional experience.
Strong coding skills, preferably in Python and C++.
Background in machine learning, AI, and/or statistical modeling.
Background in computer architecture and interest in energy-efficient GPU designs.
Ability to formulate and analyze algorithms while considering runtime and memory complexities.
Basic understanding of energy consumption concepts, estimation, and low power design.
Familiarity with Verilog and ASIC design principles is a plus.

Similar roles

Senior Architecture Energy Modeling Engineer

Nvidia

Santa Clara, CA 21 days ago $136,000–$218,500

Machine Learning Python C++ Computer Architecture ASIC Design Verilog Statistical Modeling RTL Simulation Power Modeling Energy Modeling Silicon Platforms GPU Design Low Power Design

5+ yrs exp

Save

Architecture Energy Modeling Engineer

Nvidia

Santa Clara, CA 21 days ago $116,000–$189,750

Machine Learning Python C++ Computer Architecture ASIC Design Verilog Statistical Modeling RTL Simulation Power Modeling Silicon Platforms Low Power Design GPU Design Tegra SoC

Save

Senior Accelerated Computing Architect

Nvidia

Santa Clara, CA 127 days ago $184,000–$287,500

CUDA OpenCL C C++ Python MPI NVSHMEM OpenSHMEM IPC Benchmarking Profiling Linear Algebra Numerical Methods High Performance Computing Machine Learning AI

6+ yrs exp

Save

Senior Accelerated Computing Architect

Nvidia

Santa Clara, CA 150 days ago $184,000–$287,500

CUDA OpenCL C C++ Python MPI NVSHMEM OpenSHMEM IPC Linear Algebra Numerical Methods Software-Hardware Co-design Data Structures Algorithms

6+ yrs exp

Save

Power Methodology and Modeling Engineer

Nvidia

Austin, TX 129 days ago $116,000–$189,750

Python C++ Machine Learning VLSI Digital Design Computer Architecture PowerBI OpenSearch Statistical Modeling Post-silicon Emulation RTL Design

Save

Senior Power Analysis and Optimization Engineer

Nvidia

Santa Clara, CA +1 112 days ago $136,000–$218,500

Power Analysis Machine Learning Reinforcement Learning LLMs Python C++ Perl Verilog ASIC Design RTL PowerArtist PrimePower EDA Data Analytics design‑space exploration

5+ yrs exp

Save