Datacenter GPU Power Architect jobs in United States
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NVIDIA · 6 hours ago

Datacenter GPU Power Architect

positionSanta Clara, CA
timeFull-time
remoteOnsite
seniorityEntry, Mid Level
money$108K/yr - $213K/yr
date2+ years exp

NVIDIA is a world leader in energy-efficient high-performance products, seeking a Datacenter GPU Power Architect to join their Applied Power Architecture team. The role involves developing power estimation models, analyzing performance vs power, and innovating for energy efficiency in GPU and datacenter architectures.

Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

You will be contributing to power estimation models and 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 help with Performance vs Power Analysis, track ASIC milestones for impactful NVIDIA future product lineup
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 (multi-GPU) to drive new HW/SW features for Perf@Watt improvements
Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects

Qualification

Power/Performance estimationEnergy efficient chip designPythonLow power design techniquesPerformance modeling techniquesData analysis packagesPerformance monitors/simulators

Required

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 Dynamic Voltage-Frequency Scaling (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

Benefits

Equity
Benefits

Company

NVIDIA

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NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
dateFounded in 1993
location
Santa Clara, California, USA
people-size10001+ employees
web-link
https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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