Senior Implementation Methodology Engineer
Nvidia
At a glance
AI generatedJoin NVIDIA’s VLSI team as an Implementation Methodology Engineer where you will develop front-end design implementation methodologies including synthesis and formal equivalence checking, automate workflows, and support EDA tools. Collaborate closely with logic and physical designers to solve complex technical issues and enhance existing solutions. Ideal candidates have a BS or MS in Electrical Engineering, Computer Engineering, or related fields, along with 5+ years of experience in logic or physical design implementation. Strong automation skills, knowledge of physical design implementation such as synthesis and routing, and proficiency in Python, Tcl, Java, and C++ are essential. This role involves working on cutting-edge projects that drive advancements in Deep Learning, AI, Robotics, Autonomous Driving, Gaming, and High Performance Computing.
Skills
What you'll do
What we're looking for
Market check
This $136,000–$218,500 range sits above 56% of similar postings on FindRole.
Peer median band
$129,300–$213,210
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$190,500
Middle half of comparable postings.
Based on 239 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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