Senior Datacenter GPU Power Architect

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.

What you'll be doing:

• 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.​

What we need to see:

• 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!