Implementation Methodology Engineer
Nvidia
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How this pay compares to similar roles
This role pays less than 81% of similar roles. Most pay $196,750–$250,812 — the blue band above. At the midpoint, this role pays about $177k versus about $224k 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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
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At a glance
The Implementation Methodology Engineer joins the NVIDIA VLSI team to manage front-end design implementation methodologies, including synthesis and formal-equivalence-checking. The role involves flow automation, application support, and utilizing implementation flows to improve power, performance, and area on critical designs. The engineer will collaborate with logic designers, physical designers, and EDA vendors to solve technical issues and develop new solutions. Key requirements include expertise in logic optimization techniques, physical synthesis, placement, routing, and logic restructuring. Candidates must be power users of Synopsys DC/FC and Cadence Genus/Innovus tools. Preferred skills include proficiency in Python, Tcl, and Make scripting. This position addresses technical challenges in developing real-time, cost-effective computing platforms for domains such as Deep Learning, AI, Robotics, Autonomous Driving, Gaming, and High Performance Computing.
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