Senior GPU Validation Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$140,000–$224,250 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $182k
$127k $257k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $177,250–$229,100 — the blue band above. At the midpoint, this role pays about $182k versus about $203k 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 1673 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1080 roles with salary data.

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At a glance

TL;DR · Senior GPU Validation Engineer

The Senior GPU Validation Engineer joins the team to design and implement automated tests for device driver software and SDKs across Windows and Linux operating systems. This role involves building tools and frameworks to accelerate execution workflows, identifying defects early in the software development lifecycle, and providing data-driven insights. Key responsibilities include developing end-to-end tests, measuring code coverage, debugging root causes using WinDBG or gdb, and performing performance and load testing on RESTful APIs. The candidate must utilize C, C++, and Python, applying Object-Oriented Programming concepts and AI technologies for test automation. Technical requirements include knowledge of SQL, Elasticsearch, and GPU technologies like CUDA, DLSS, and Frame Generation. The position focuses on ensuring software quality and compatibility across various products and hardware interfaces.

What you'll do

  • Design and implement automated tests for device drivers and SDKs using AI technologies.
  • Develop end-to-end automated tests for NVIDIA software on Windows and Linux platforms.
  • Build tools and frameworks in Python, C, and C++ to optimize GPU testing workflows.
  • Execute manual and automated tests to identify, debug, and report software defects.
  • Measure and drive improvements in code coverage across software products.
  • Develop applications that provide data-driven insights for development and testing workflows.
  • Perform performance and load testing on RESTful APIs to ensure high traffic handling.
  • Provide peer code reviews focusing on performance, scalability, and correctness.

What we're looking for

  • B.E./B. Tech degree in Computer Science, IT, or Electronics engineering or equivalent experience.
  • 5+ years of programming experience in Python, C, or C++ using Object-Oriented Programming concepts.
  • Hands-on knowledge of developing Python scripts using dictionaries, tuples, RegEx, and PIP.
  • Experience using AI development tools for test plan creation, test case development, and automation.
  • Experience testing RESTful APIs and conducting performance and load testing.
  • Experience with databases and storage technologies like SQL and Elasticsearch.
  • Good understanding of OS fundamentals, PC hardware, and troubleshooting using tools like WinDBG/gdb.
  • Working knowledge of GPU technologies such as DLSS, Frame Generation, Reflex, CUDA, and G-Sync.
  • Prior project experience with building ML and DL based applications (preferred).
  • Good understanding of testing fundamentals (preferred).
  • Good problem solving skills (preferred).

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