Quality Assurance Software Developer Engineer in Test, GeForce GPU

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$140,000–$224,250 / yr
Posted
11 days ago
Freshness
Confirmed live 2 days ago
Closes
Nov 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $182k
$128k most similar roles pay here $254k

This role pays less than 59% of similar roles. Most pay $168,425–$222,000 — the shaded band above. At the midpoint, this role pays about $182k versus about $195k 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 · Quality Assurance Software Developer Engineer in Test, GeForce GPU

Quality Assurance Software Developer Engineer in Test, GeForce GPU will join the team to design and implement automated tests for device driver software and SDKs across Windows and Linux operating systems. The role involves building tools to accelerate execution workflows, providing data-driven insights, and identifying defects early in the development lifecycle. Key responsibilities include performing performance and load testing on RESTful APIs, measuring code coverage, and conducting peer code reviews. Candidates must possess expertise in Python, C, and C++, along with experience using AI technologies for test case automation. Technical requirements include proficiency with SQL, Elasticsearch, and debugging tools like WinDBG or gdb. The role specifically addresses the GPU domain, requiring knowledge of hardware components and technologies such as DLSS, Frame Generation, Reflex, CUDA, and G-Sync to ensure high-quality software delivery.

What you'll do

  • Design and implement automated tests for device driver software and SDKs using AI technologies.
  • Develop end-to-end automated tests for products on both Windows and Linux operating systems.
  • Build Python, C, or C++ tools and frameworks to automate and optimize testing workflows in the GPU domain.
  • Execute manual and automated tests to identify, debug, and report software defects.
  • Analyze and drive improvements in code coverage across various software components.
  • Develop applications that provide data-driven insights for development and test workflows.
  • Perform performance and load testing on RESTful APIs to ensure high traffic stability.
  • Conduct compatibility testing 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 or equivalent experience.
  • 5+ years of programming experience in Python, C, and C++ using Object-Oriented Programming concepts.
  • Experience developing Python scripts using application development concepts like dictionaries, tuples, RegEx, and PIP.
  • Experience using AI development tools for test plan creation, case development, and automation.
  • Experience testing RESTful APIs including performance and load testing.
  • Experience working with databases and storage technologies such as SQL and Elasticsearch.
  • Strong understanding of OS fundamentals, PC hardware, and troubleshooting using tools like WinDBG or gdb.
  • Working knowledge of GPU technologies including DLSS, Frame Generation, Reflex, CUDA, and G-Sync.

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