Senior Memory Architect at Micron Technology defining next - generation 3D stacked memory architectures. Leading architectural decisions and engaging with customers and partners to shape memory technology.
About the role
- Datacenter GPU Power Architect developing innovative GPUs for AI and HPC. Focus on power estimation models, machine learning techniques, and energy efficiency improvements.
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.
- 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.
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.
Benefits
- equity
- benefits
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