Implementation Methodology Engineer

Nvidia

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Salary: $136,000–$218,500 / yr
Employment: Full-time
Posted: 153 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $177k

$126k $228k

below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $138,500–$216,250 — the blue band above. At the midpoint, this role pays about $177k versus about $177k for comparable roles.

Based on 240 similar postings.

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 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

TL;DR · Implementation Methodology Engineer

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The Implementation Methodology Engineer will join the NVIDIA VLSI team to manage all aspects of front-end design implementation methodologies. The primary responsibilities include overseeing synthesis, formal-equivalence-checking, and flow automation while providing application support. The successful candidate will develop in-house solutions to improve internal workflows and collaborate with logic and physical designers to resolve complex implementation issues. Key technical requirements include a strong understanding of physical design implementation, specifically physical synthesis, placement, routing, and logic restructuring. Candidates should possess strong automation skills and proficiency in Python, Tcl, Java, and C++ scripting. This role focuses on solving technical problems within the VLSI domain to support the development of high-performance computing platforms for applications such as deep learning, robotics, autonomous driving, and gaming.

Skills

VLSI Logic Design Physical Design Synthesis formal-equivalence-checking Flow Automation Python Tcl Java C++ EDA Tools Placement Routing Logic Restructuring Deep Learning AI

What you'll do

Manage all aspects of front-end design implementation methodologies including synthesis and formal equivalence checking.
Develop and maintain automated flows to improve internal design workflows.
Create in-house solutions to optimize and streamline engineering processes.
Provide technical support for EDA tools and established design flows.
Solve complex implementation issues in coordination with logic and physical designers.
Develop new technical solutions to address hardware design challenges.

What we're looking for

BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience).
5+ years of experience in logic design implementation and/or physical design implementation.
Strong automation skills.
Good understanding of physical design implementation, including physical synthesis, placement, routing, and logic restructuring.
Good debugging and problem-solving skills.
Strong interpersonal skills and the ability to work in a dynamic team.
Prior experience in implementation methodology (preferred).
Proficiency in Python, Tcl, Java, and C++ scripting (preferred).

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