This role pays more than
53%
of similar roles. Most pay
$133,362–$216,250
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$175k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
The Implementation Methodology Engineer joins the NVIDIA VLSI team to manage all aspects of front-end design implementation methodologies, including synthesis and formal equivalence checking. This role involves developing in-house solutions to improve internal workflows, providing support for EDA tools and flows, and collaborating with logic and physical designers to resolve complex implementation issues. The successful candidate will utilize strong automation skills and a deep understanding of physical design implementation processes such as physical synthesis, placement, routing, and logic restructuring. Technical proficiency in Python, Tcl, Java, and C++ scripting is highly valued for developing automated solutions. This position focuses on solving technical problems within the domain of VLSI design to optimize hardware workflows and improve overall engineering efficiency through advanced methodology development and robust problem-solving in a dynamic team environment.
Remote (Santa Clara, CA)+146 days ago
$136,000–$218,500
Python
C++
AI
LLMs
Signal Integrity
Power Delivery
Parasitic Extraction
IC Physical Design
Data Structures
Algorithms
Object-Oriented Design
Package Design Flow