GPU Power Architect - New College Grad 2026

NVIDIA • Austin, TX

1d

About The Position

NVIDIA is seeking a Datacenter GPU Power Architect - New College Grad. The company is a world leader in energy-efficient high-performance products, continuously investing in research and development for hyper-efficient GPU and SOC architectures. NVIDIA innovates to deliver exceptional Perf/Watt solutions across various sectors including AI, HPC, Automotive, GeForce, and Mobile products. This role is within NVIDIA's Applied Power Architecture team, focusing on developing state-of-the-art GPUs. NVIDIA is recognized as a desirable employer, leading in Artificial Intelligence, High-Performance Computing, and Visualization with groundbreaking developments. The company pioneered accelerated computing, and its AI infrastructure powers global intelligence, transforming every industry.

Requirements

• 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, 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.

Nice To Haves

• Understanding of GPU processors

Responsibilities

• 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.
• Helping with 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 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.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees