GPU Power Architect - New College Grad 2026

Nvidia

Actively hiring
Santa Clara, US Posted 28 days ago $100,000–$166,750 / 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 - New College Grad to contribute to cutting-edge GPU products like NVIDIA DGX. You will develop power estimation models, explore early GPU architecture with a focus on energy efficiency, and analyze performance versus power for future product lines. Utilize machine learning techniques to create accurate power and performance models of GPUs, CPUs, switches, and platforms while understanding workload characteristics at datacenter scale to drive hardware and software improvements. Ideal candidates have a background in Electrical or Computer Engineering, knowledge of low-power design techniques, proficiency with Python and data analysis tools like Pandas and NumPy, and familiarity with modern processor architectures. This role involves working on groundbreaking developments in AI, HPC, and visualization, focusing on delivering exceptional performance per watt solutions.

Skills

Python Pandas NumPy PyTorch GPU HPC AI Datacenter Machine_Learning CI/CD DVFS Multi_VT Clock_gating Power_gating High_speed_Interconnects Dynamic_Voltage_Frequency_Scaling

What you'll do

  • Contribute to power estimation models and tools for NVIDIA GPU products.
  • Explore early GPU & System Architecture focusing on energy efficiency improvements.
  • Perform Performance vs Power Analysis for future NVIDIA product lineup.
  • Develop highly accurate power and performance models using machine learning.
  • Analyze workload characteristics for GenAI/HPC at Datacenter Scale for Perf@Watt.
  • Model high speed & high-density interconnects to enhance system performance.

What we're looking for

  • Bachelor’s or Master’s degree in Electrical/Computer Engineering or equivalent experience.
  • Knowledge of energy-efficient chip design fundamentals and trade-offs.
  • Familiarity with low-power design techniques including multi-VT, clock gating, and DVFS.
  • Understanding of GPU processors, system-SW architectures, and performance/power modeling.
  • Proficiency in Python and data analysis tools like Pandas, NumPy, and PyTorch.
  • Experience with performance monitors/simulators for modern processor architectures.

Market check

Salary context

This $100,000–$166,750 range sits above 6% of similar postings on FindRole.

Peer median band

$161,800–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$168,500–$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 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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