CPU Core RTL Design Engineer
Amd
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How this pay compares to similar roles
This role pays less than 58% of similar roles. Most pay $160,862–$214,000 — the shaded band above. At the midpoint, this role pays about $177k versus about $187k 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 Software R&D Engineer, RTL Optimization Tools, you will join a team developing internal EDA tools by fusing parallel computing, machine learning, and novel algorithms in C++. You will invent methods for parallel, graph-based RTL traversal and analysis while devising strategies to evaluate the impact of design changes on data path latency, power, and clocking. Your work involves exploring LLMs, GNNs, GANs, and Reinforcement Learning to automate RTL modifications and developing high-performance algorithms for clustering and logic synthesis. The role requires expertise in C++, Verilog, SystemVerilog, and EDA techniques like static timing analysis and SAT solvers. You will solve complex problems related to large-scale RTL quality, timing, and power optimization while navigating technical domains such as DFT, scan chain insertion, and power gating to improve hardware design productivity for advanced systems.
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