GPU Verification Engineer

Nvidia

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Westford, MASanta Clara, CA
Salary
$100,000–$166,750 / yr
Posted
30 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k
This role $133k
$85k most similar roles pay here $237k

This role pays less than 89% of similar roles. Most pay $152,875–$216,250 — the shaded band above. At the midpoint, this role pays about $133k versus about $185k 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.

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View all roles at Nvidia

At a glance

TL;DR · GPU Verification Engineer

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 using sophisticated methodologies. Your daily responsibilities include defining verification scopes, developing testplans, coordinating tasks within distributed teams, and designing test generators to validate GPU interactions and memory coherency. You will also build verification infrastructure using state of the art tools while collaborating with architects and designers across pre- and post-silicon stages. The role requires proficiency in C/C++, Perl, Python, or shell scripting, along with experience in SV/UVM. Candidates must possess a strong background in computer architecture and memory models to solve complex technical problems. Familiarity with VCS, emulation, FPGA, and various debug tools is preferred for this specialized hardware verification role.

What you'll do

  • Verify the ASIC design, architecture, and micro-architecture of GPUs and SoCs.
  • Define verification scopes and develop comprehensive testplans for GPU components.
  • Develop test generators to validate GPU interactions and memory coherency.
  • Build verification infrastructure using state-of-the-art methodologies and tools.
  • Debug complex hardware issues and solve problems related to computer architecture.
  • Automate tasks and write scripts using Python, Perl, or shell.
  • Utilize SV/UVM methodologies to ensure design integrity.

What we're looking for

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent experience).
  • Master's degree in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent experience).
  • 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.
  • Exposure to design and verification tools such as VCS, emulation, FPGA, and debug tools (preferred).
  • Strong communication and interpersonal skills for operating in a dynamic and distributed team.

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