AI GPU Power Architect - New College Grad 2026

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 100,000 - 190,000; Full time

Job summary

NVIDIA Corporation is hiring an AI GPU Power Architect for new graduates in Santa Clara. You will contribute to power estimation models and tools for GPUs and systems, focusing on energy efficiency and total cost of ownership at GPU and datacenter scales.

You will deploy machine learning techniques to build accurate power/performance models across GPUs, CPUs, switches, and platforms, shaping future AI, HPC, automotive, and consumer devices.

Qualifications

• Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience.
• Strong understanding of Computer Architecture and Digital Logic Design/VLSI Design.
• Proficiency with Python and data analysis packages like Pandas, NumPy, PyTorch.

Responsibilities

• Contribute to power estimation models and tools for GPU products and systems (e.g., NVIDIA DGX).
• Perform early GPU and system architecture exploration focused on energy efficiency and TCO improvements at GPU and datacenter level.
• Use ML techniques to develop accurate power and performance models for GPUs, CPUs, switches, and platforms.

Skills

Python

Pandas

NumPy

PyTorch

Education

Bachelors in Electrical/Computer Engineering

Masters in Electrical/Computer Engineering

Job description

## AI GPU Power Architect - New College Grad 2026Apply: US, CA, Santa Clara: Full time: Posted Yesterday: JR2017169We are looking for a AI 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. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products.**What you'll be doing:*** You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.* Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.* You will help with Performance vs Power Analysis for NVIDIA future product lineup.* Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.* Understand the 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.**What we need to see:*** Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience* Strong understanding of Computer Architecture and Digital Logic Design/VLSI Design.* Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.* Knowledge of energy efficient chip design fundamentals and related tradeoffs. Ex: low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS)NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 14, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.