Datacenter GPU Power Architect — Equity & Perf/Watt

NVIDIA; Santa Clara (CA); On-site; USD 116,000 - 219,000; Full time

Benefits offered by this job

Equity compensation

Job summary

NVIDIA is seeking a Datacenter GPU Power Architect in California to advance power and performance modeling for our data center GPUs and DGX/HGX platforms. You will model workloads, explore energy-efficient architectures, and apply ML techniques to improve Perf/Watt across GPUs, CPUs, and interconnects.

Ideal candidates bring a MSEE/MSCE and 2+ years in power/performance estimation, with Python and data tools proficiency.

Qualifications

• 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 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

• Contribute to power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX based datacenters.
• Explore early GPU and system architecture focusing on energy efficiency and TCO improvements at GPU and Datacenter level.
• Assist with Performance vs Power Analysis and track ASIC milestones for future NVIDIA products.
• Deploy machine learning techniques to develop accurate power and performance models for GPUs, CPUs, Switches, and platforms.
• Understand workload characteristics for GenAI/HPC workloads at Datacenter Scale to drive HW/SW features for Perf@Watt improvements.
• Model cutting-edge technologies like high speed and high-density interconnects.

Skills

Power/Perf Estimation

Python

Pandas

NumPy

PyTorch

Education

MSEE/MSCE or equivalent

Tools

Performance Monitors

Simulators

Job description

NVIDIA is seeking a Datacenter GPU Power Architect in California to advance power and performance modeling for our data center GPUs and DGX/HGX platforms. You will model workloads, explore energy-efficient architectures, and apply ML techniques to improve Perf/Watt across GPUs, CPUs, and interconnects.

Ideal candidates bring a MSEE/MSCE and 2+ years in power/performance estimation, with Python and data tools proficiency.