Power Methodology and Modeling Engineer
Nvidia
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How this pay compares to similar roles
This role pays less than 92% of similar roles. Most pay $166,912–$241,750 — the shaded band above. At the midpoint, this role pays about $133k versus about $204k for comparable roles.
Based on 240 similar postings.
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 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
As a GPU Power Architect - New College Grad 2026, you will join the Applied Power Architecture team to develop state of the art GPUs for AI, HPC, Automotive, GeForce, and Mobile products. You will contribute to power estimation models and tools for GPU products and systems like NVIDIA DGX while performing early architecture exploration focused on energy efficiency and TCO improvements at the datacenter level. Your daily work involves performance versus power analysis for future product lineups, deploying machine learning techniques to model GPUs, CPUs, and switches, and analyzing high-speed, high-density interconnects. You will utilize Python along with Pandas, NumPy, and PyTorch to analyze workload characteristics for GenAI and HPC workloads. Required expertise includes energy efficient chip design fundamentals, low power techniques like multi-VT, clock gating, and DVFS, and familiarity with performance monitors.
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