About The Position

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. 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.

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 (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.

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.
  • 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.

Benefits

  • You will also be eligible for equity and benefits.
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