# Power Modeling Engineer

**Company**: NVIDIA
**Location**: Shanghai, China
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Architecture-Energy-Modeling-Engineer_JR2028478?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_18d009c9-e4d

## Description

We are seeking a Power Modeling Engineer to join our Power Modeling, Methodology, and Analysis Team at NVIDIA. You will be responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. This involves building energy models that integrate into architectural simulators, RTL simulation, and emulation platforms.

Key responsibilities include:

- Developing techniques to model, analyze, and reduce the power consumption of NVIDIA GPUs

- Collaborating with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next-generation GPUs and Tegra SOCs

- Contributing to gaining early insight into the energy consumption of graphics and artificial intelligence workloads, and influencing architectural, design, and power management improvements

Responsibilities:

- Work with architects and performance architects to develop an energy-efficient GPU

- Develop methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques

- Develop methodologies to improve the accuracy of energy models under various constraints, such as process, timing, floorplan, and layout

- Correlate the predicted energy from models created at different stages of the design cycle, with the goal of bridging early estimates to silicon

- Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators

- Work with architects to fix the identified energy inefficiencies

- Work with performance, verification, and emulation methodology and infrastructure development teams to integrate energy models into their platforms

- Prototype new architectural features, create an energy model, and analyze the system impact

Requirements:

- MS degree with 3+ years of experience in related fields or equivalent experience

- Strong coding skills, preferably in Python, C++

- Background in machine learning, AI, and/or statistical modeling

- Interest in computer architecture and energy-efficient GPU designs

- Familiarity with Verilog and ASIC design principles is a plus

- Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities

- Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products

- Good verbal/written English and interpersonal skills

## Skills

### Required
- Python
- C++
- machine learning
- AI
- statistical modeling
- computer architecture
- ASIC design

### Nice to have
- Verilog

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Architecture-Energy-Modeling-Engineer_JR2028478?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)