Senior Power Methodology and Modeling Engineer
Nvidia
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How this pay compares to similar roles
This role pays more than 53% of similar roles. Most pay $159,937–$216,250 — the shaded band above. At the midpoint, this role pays about $177k versus about $188k 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 563 open roles on FindRole.
Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.
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At a glance
As a Senior Power Architecture & Optimization Engineer at NVIDIA, you will join a cutting-edge team focused on developing the most energy-efficient GPUs and SoCs. Your daily responsibilities include analyzing full-chip and unit-level power data using advanced tools like PowerArtist and PrimePower, translating insights into design improvements, and developing ML/RL-based models for anomaly detection and dynamic power management. You’ll also train large language models to assist engineers in interpreting complex power data and recommending optimizations. Key skills required are a strong background in energy consumption and low-power design, proficiency in Verilog and ASIC principles, coding expertise in Python, Perl, and C++, and experience with machine learning and reinforcement learning applied to EDA and system-level optimization. This role is pivotal in shaping the future of NVIDIA’s power architecture through innovative AI-driven solutions.
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