Job Title
Senior Architecture Energy Modeling Engineer
Role Summary
The Senior Architecture Energy Modeling Engineer role at NVIDIA focuses on developing methodologies to enhance energy efficiency for NVIDIA's products, specifically in GPU design. This position involves collaboration with various engineering teams to analyze and improve power consumption through Machine Learning-based models.
Experience Level
Senior; requires 6+ years of experience in relevant fields or a PhD.
Responsibilities
The key responsibilities of this role include:
- Collaborating with architects and engineers to create energy-efficient GPUs.
- Identifying design features for Machine Learning-based power models.
- Developing methodologies to train models using ML and statistical techniques.
- Enhancing model accuracy through innovative representations and algorithms.
- Estimating data movement energy accurately.
- Correlating energy predictions from various design stages.
- Integrating power models into performance platforms for comprehensive reporting.
- Debugging energy inefficiencies in workloads on various simulators.
- Prototyping new features and analyzing their system impact.
- Participating in studies to improve GPU performance per watt.
Requirements
Ideal candidates should meet the following requirements:
- MS or equivalent experience with proven experience or PhD in related fields.
- 6+ years of relevant experience.
- Strong coding skills in Python and C++.
- Background in machine learning, AI, or statistical modeling.
- Understanding of computer architecture with a focus on energy efficiency.
- Familiarity with Verilog and ASIC principles is advantageous.
- Capability to analyze algorithms regarding runtime and memory complexities.
- Basic knowledge of energy consumption and low-power design concepts.
- Strong communication and interpersonal skills.
Education Requirements
MS or PhD in a related field, or equivalent experience is required.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.

Date Posted: 2026-04-09