Datacenter GPU Power Architect

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 139 days ago $116,000–$189,750 / year
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At a glance

AI generated

TL;DR

Join NVIDIA’s Applied Power Architecture team as a Datacenter GPU Power Architect to contribute to cutting-edge GPU development for AI, HPC, Automotive, GeForce, and Mobile sectors. You will develop power estimation models and tools for datacenters like NVIDIA DGX/HGX, explore early GPU architecture with an emphasis on energy efficiency, and deploy machine learning techniques to create accurate performance and power models of GPUs, CPUs, and platforms. Your role involves analyzing workload characteristics at the datacenter scale to drive hardware and software improvements, and modeling high-speed interconnects. Ideal candidates have a MSEE/MSCE or equivalent experience with 2+ years in power/performance optimization, knowledge of low-power design techniques, proficiency in Python and data analysis tools like Pandas and NumPy, and familiarity with modern processor performance monitors.

Skills

Python Pandas NumPy PyTorch GPU HPC AI DVFS Multi-VT Clock gating Power gating Dynamic Voltage-Frequency Scaling Performance monitors Simulators Datacenter Machine learning High speed interconnects High-density interconnects

What you'll do

  • Contribute to power estimation models and tools for NVIDIA's GPU products.
  • Explore early GPU & system architecture focusing on energy efficiency and TCO improvements.
  • Conduct performance vs power analysis and track ASIC milestones for future products.
  • Develop highly accurate power and performance models using machine learning techniques.
  • Analyze workload characteristics for GenAI/HPC at datacenter scale to drive HW/SW features.

What we're looking for

  • MSEE/MSCE or equivalent experience with 2+ years in power/performance estimation.
  • Expertise in energy-efficient chip design fundamentals and low-power techniques.
  • Knowledge of GPU architecture, system-SW performance/power modeling.
  • Proficiency in Python and data analysis tools like Pandas, NumPy, PyTorch.
  • Familiarity with modern processor performance monitors/simulators.

Market check

Salary context

This $116,000–$189,750 range sits above 14% of similar postings on FindRole.

Peer median band

$166,050–$250,700

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$175,750–$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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