GPU Verification Engineer

Nvidia

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Westford, MASanta Clara, CA
Employment: Full-time
Posted: 76 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $187k

$135k $234k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $158,450–$216,062.

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 · GPU Verification Engineer

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As a GPU Verification Engineer - New College Grad 2026, you will join the GPU verification team to verify the ASIC design, architecture, and micro-architecture of GPUs and SoCs. Your daily responsibilities include defining verification scopes, developing testplans, and coordinating tasks within the team. You will design test generators to validate GPU interactions, memory coherency, and consistency while developing verification infrastructure using state-of-the-art methodologies. The role requires proficiency in C/C++, Perl, Python, and shell scripting, along with experience in SV/UVM. You must possess a strong background in computer architecture and memory models to solve complex technical problems. You will collaborate with architects and designers using tools such as VCS, emulation, and FPGA to support product lines ranging from consumer graphics to self-driving cars.

Skills

UVM C++ C Python Perl Shell Computer Architecture VCS FPGA Emulation Memory Models

What you'll do

Verify the ASIC design, architecture, and micro-architecture of NVIDIA GPUs and SoCs.
Define the verification scope and develop comprehensive testplans for GPU components.
Design and develop test generators to validate GPU interactions and memory coherency.
Develop verification infrastructure using state-of-the-art methodologies and tools.
Coordinate verification tasks and technical requirements within the GPU verification teams.
Debug complex hardware issues to ensure design integrity and performance.

What we're looking for

Master's degree in Electrical Engineering, Computer Engineering, or Computer Science, or a Bachelor's degree in the same fields.
Ability to program in C/C++ and write scripts in Perl, Python, or shell.
Experience with SV/UVM.
Strong background in computer architecture and memory models.
Strong communication and interpersonal skills to operate in a dynamic and distributed team.
Passion for debugging and strong problem-solving abilities.
Exposure to design and verification tools such as VCS, emulation, FPGA, and debug tools (preferred).

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