GPU Verification Engineer

Nvidia

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Westford, MA
Salary
$136,000–$218,500 / yr
Posted
32 days ago
Freshness
Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $177k
$125k most similar roles pay here $241k

This role pays less than 62% of similar roles. Most pay $172,775–$227,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $200k 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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At a glance

TL;DR · GPU Verification Engineer

As a GPU Verification Engineer, 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 test plans, coordinating tasks within distributed teams, and building test generators to validate CPU and GPU interactions, memory coherency, and consistency. You will also develop 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++ along with scripting in Perl, Python, or shell. Candidates should possess a strong background in computer architecture and memory models. Experience with VCS, emulation, FPGA, and various debug tools is preferred to solve complex technical problems within the GPU and SoC product space.

What you'll do

  • Verify the ASIC design, architecture, and micro-architecture of GPUs and SoCs using sophisticated methodologies.
  • Define the verification scope and develop comprehensive test plans for GPU components.
  • Coordinate specific tasks within the GPU verification teams to ensure project milestones are met.
  • Develop test generators to validate CPU and GPU interactions, memory coherency, and consistency.
  • Build and maintain verification infrastructure using state-of-the-art tools and methodologies.
  • Debug complex hardware issues and solve problems related to computer architecture and memory models.

What we're looking for

  • A Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science is required.
  • Candidates must have 5+ years of meaningful work experience or a Bachelor's degree with 2+ years of equivalent experience.
  • Proficiency in programming in C/C++ is required.
  • Ability to automate and write scripts in Perl, Python, or shell is required.
  • A strong background in computer architecture and memory models is required.
  • Experience with design and verification tools such as VCS, emulation, FPGA, and debug tools is preferred.
  • Strong communication and interpersonal skills are required to work in a dynamic and distributed team.
  • Candidates must demonstrate strong problem-solving abilities and a passion for debugging.

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