Implementation Methodology Engineer - GPU

Nvidia

Hybrid Actively hiring Verified listing
Santa Clara, US Posted 10 days ago $136,000–$218,500 / year
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At a glance

AI generated

TL;DR

Join NVIDIA’s VLSI team as an Implementation Methodology Engineer, a senior-level position where you will lead the front-end design implementation methodologies including synthesis and formal equivalence checking, while automating flows and providing application support. You’ll collaborate with logic designers, physical designers, and EDA vendors to enhance power, performance, and area on critical designs using NVIDIA’s advanced implementation flows and tools like Synopsys DC/FC and Cadence Genus/Innovus. Ideal candidates have a BS or MS in Electrical Engineering or Computer Engineering, 4+ years of experience in logic or physical design implementation, deep knowledge of optimization techniques, and strong scripting skills in Python, Tcl, and Make. This role demands expertise in both logical and physical design aspects to tackle complex challenges in the rapidly evolving field of AI, robotics, gaming, and high-performance computing.

Skills

Synopsys Cadence DC FC Genus Innovus Python Tcl Make EDA VLSI logic optimization physical design implementation placement routing logic restructuring

What you'll do

  • Develop and optimize front-end design implementation methodologies for synthesis and formal equivalence checking.
  • Enhance power, performance, and area metrics on NVIDIA's critical designs using advanced EDA tools.
  • Collaborate with logic designers and physical designers to solve complex implementation issues and develop innovative solutions.
  • Automate design flows and provide expert support for EDA tool usage and application.
  • Utilize Synopsys (DC/FC) and Cadence (Genus/Innovus) tools proficiently in synthesis and place-and-route processes.

What we're looking for

  • BS or MS in Electrical/Computer Engineering or related field (or equivalent experience)
  • 4+ years of experience in logic design implementation and/or physical design implementation
  • Expertise in synthesis and place-and-route EDA tools from Synopsys and Cadence
  • Deep understanding of logic optimization techniques and trade-offs between area, timing, and power
  • Strong interpersonal skills and ability to collaborate effectively in a dynamic team
  • Experience with Python, Tcl, and Make scripting (preferred)

Market check

Salary context

This $136,000–$218,500 range sits above 27% of similar postings on FindRole.

Peer median band

$161,800–$242,600

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$177,250–$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

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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