# GPU Power Architect - New College Grad 2026

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/GPU-Power-Architect---New-College-Grad-2026_JR2017169?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_96a3aa87-50e

## Description

We are looking for a Datacenter GPU Power Architect - New College Grad! NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures.

You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX. Your responsibilities will include:

- Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.

- Performance vs Power Analysis for NVIDIA future product lineup.

- Deploying machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.

- Understanding workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.

- Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.

To be successful in this role, you will need:

- Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience.

- Knowledge of energy efficient chip design fundamentals and related tradeoffs.

- Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).

- Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.

- Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.

- Familiarity with performance monitors/simulators used in modern processor architectures.

You will also be eligible for equity and benefits.

## Skills

### Required
- Electrical Engineering
- Computer Engineering
- energy efficient chip design
- low power design techniques
- Python
- Pandas
- NumPy
- PyTorch

### Nice to have
- GPU architecture
- performance/power modeling
- machine 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/GPU-Power-Architect---New-College-Grad-2026_JR2017169?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)