NVIDIA · 17 hours ago
Senior Datacenter GPU Power Architect
Austin, TX
Full-time
Onsite
Senior Level
$168K/yr - $264K/yr
5+ years expNVIDIA is a world leader in providing energy-efficient high-performance products, and they are seeking a Senior Datacenter GPU Power Architect to join their Applied Power Architecture team. The role involves developing power estimation models for GPU products, setting power targets for projects, and collaborating with cross-functional teams to influence product roadmaps.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Qualification
Required
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-15
2026-01-14
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