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Nvidia Datacenter GPU Power Architect - New College Grad 
United States, California 
436385058

24.06.2024

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 a MSEE/MSCE, or equivalent experience related to Power / Performance estimation and optimization techniques.

  • 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 .