Senior Datacenter GPU Power Architect

Details

We are looking for a Senior Datacenter GPU Power Architect. 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.

Responsibilities

• You will be responsible for conceiving flows/methodologies/KPIs and building the power estimation models/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.
• You will set power targets for future projects, track ASIC milestones and drive Performance vs Power Analysis to enable impactful product roadmap decisions.
• 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 to drive new HW/SW features for Perf@Watt improvements.
• Pre-silicon thermal analysis for next-gen GPUs including design of thermal usecases, power map for thermal simulations, and driving thermal mitigation architectural features.
• Modeling & analysis of cutting-edge technologies like chiplets, high speed & high-density interconnects.
• You will be working with cross-functional teams including Architects, Designers, VLSI, Software, Management and Marketing teams to influence product roadmap.

Requirements

• MSEE/MSCE, preferably PhD, or equivalent experience related to Power / Performance estimation and optimization techniques.
• 5+ years of experience
• Strong knowledge of energy efficient chip/system 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).
• Deeper understanding of processors (GPU is a plus), servers, and system-SW architectures, and their performance/power modeling techniques.
• Familiarity with Python and Si data analysis
• Familiarity with performance monitors/simulators used in modern processor architectures.
• Strong interpersonal and organizational skills and the ability & desire to work as a great teammate.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!