# GPU Power Features Architect

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Power-Architect---New-College-Grad-2027_JR2027718?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d73b4f1e-050

## Description

We are seeking a GPU Power Features Architect to join our team at NVIDIA.

You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.

Responsibilities:

- Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.

- Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.

- Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

Requirements:

- Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)

- Knowledge of performance simulators/monitors and Low Power architectures/techniques.

- Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch.

- Experience with lab setup and measurement using equipment such as scope/DAQ

Preferred qualifications:

- A master’s degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning.

- Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist.

Benefits:

- Base salary range: 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3

- Equity and benefits

## Skills

### Required
- Python
- TensorFlow
- Pandas
- NumPy
- PyTorch
- Electrical Engineering
- Computer Engineering
- Low Power Architecture

### Nice to have
- Design Compiler
- PTPX
- Power Artist
- power modeling
- deep learning

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Power-Architect---New-College-Grad-2027_JR2027718?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)