Senior GPU Validation Engineer

Nvidia

Confirmed live yesterday High trust

Closes in 5 days

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $140,000–$224,250 / yr
Employment: Full-time
Posted: 41 days ago
Freshness: Confirmed live yesterday
Closes: Nov 1, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k

This role $182k

$128k $254k

below market most similar roles pay here above market

This role pays less than 60% of similar roles. Most pay $177,250–$227,900 — 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 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 · Senior GPU Validation Engineer

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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 for development. Key responsibilities include 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 experience with SQL, Elasticsearch, and GPU technologies like DLSS, Frame Generation, Reflex, CUDA, and G-Sync. The position focuses on ensuring software quality and compatibility across various products and hardware interfaces.

Skills

Python C++ C C# AI Windows Linux SQL Elasticsearch CUDA RESTful APIs WinDBG gdb Object-Oriented Programming Load Testing

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 code coverage and develop applications to provide data-driven insights for development.
Perform performance and load testing on RESTful APIs to ensure high traffic handling.
Provide peer code reviews focusing on performance, scalability, and code correctness.
Generate and test compatibility across a wide range of products and interfaces.

What we're looking for

B.E./B. Tech degree in Computer Science, IT, or Electronics engineering with strong academics 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 for high traffic.
Experience with databases and storage technologies like SQL and Elasticsearch.
Good understanding of OS fundamentals, PC hardware, and troubleshooting using tools like WinDBG or 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 and solid problem-solving skills (preferred).

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