AI GPU Power Architect - New College Grad 2026

We 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)