Jobs · Art & Creative · Texas

Senior Datacenter GPU Power Architect

NVIDIA AI · Santa Clara, TX · Today
Art & CreativeFull-time

About the role

We are looking for a Senior Datacenter GPU Power Architect to join NVIDIA’s Applied Power Architecture team. You will develop state-of-the-art GPUs powering AI, HPC, Automotive, GeForce, and Mobile products, focusing on energy efficiency and performance per watt across a wide range of sectors and verticals.

Responsibilities

  • Conceive flows, methodologies, and KPIs; build power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX-based datacenters.
  • Perform early GPU and system architecture exploration with a focus on energy efficiency and TCO improvements at both GPU and datacenter levels.
  • 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 GPUs, CPUs, switches, and platforms.
  • Analyze workload characteristics for GenAI/HPC workloads at datacenter scale to drive new hardware and software features for performance-per-watt improvements.
  • Conduct pre-silicon thermal analysis for next-gen GPUs, including designing thermal use cases, power maps for thermal simulations, and driving thermal mitigation architectural features.
  • Model and analyze cutting-edge technologies like chiplets and high-speed, high-density interconnects.
  • Collaborate with cross-functional teams including architects, designers, VLSI, software, management, and marketing to influence the product roadmap.

Requirements

  • MSEE/MSCE, preferably PhD, or equivalent experience related to power and performance estimation and optimization techniques.
  • 8+ years of relevant experience.
  • Strong knowledge of energy-efficient chip and 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).
  • Deep understanding of processors (GPU experience is a plus), servers, and system-software architectures, including their performance and power modeling techniques.
  • Familiarity with Python and silicon data analysis.
  • Experience with performance monitors and simulators used in modern processor architectures.
  • Strong interpersonal and organizational skills, with a desire to work as a great teammate.

Pay

Base salary ranges: 184,000 USD – 287,500 USD for Level 4, and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits.

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