Datacenter GPU Power Architect

What You'll Be Doing

• Contribute to power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX based datacenters.
• Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
• Perform Performance vs Power Analysis and track ASIC milestones for impactful 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

• MSEE/MSCE, or equivalent experience with 2+ years of 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.