GPU Power Architect - New College Grad 2026
Nvidia
At a glance
AI generatedAs a Senior GPU Architect specializing in power management solutions for NVIDIA's cutting-edge products, you will collaborate closely with cross-functional teams to design and implement energy-efficient strategies for future GPUs. Your daily tasks include researching and developing innovative solutions to complex power efficiency challenges across various use cases such as deep learning training, autonomous driving systems, gaming, video playback, and idle states. You will leverage machine learning techniques to create highly accurate models of GPU performance and power consumption, contributing to the overall energy efficiency of NVIDIA’s products. Ideal candidates possess a master's degree or PhD in Electrical or Computer Engineering, along with experience in low-power architectures, performance simulators, and tools like Design Compiler, PTPX, and Power Artist. Proficiency in Python and frameworks such as TensorFlow, Pandas, and PyTorch is also essential for this role.
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What you'll do
What we're looking for
Market check
This $116,000–$189,750 range sits above 30% of similar postings on FindRole.
Peer median band
$136,725–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$151,256–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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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