senior software engineering QA Engineer ic 3+ yrs Master's · Posted Apr 20, 2026

About this role

Nvidia is hiring a senior-level QA Engineer in the software engineering function based in Shenzhen, China. The posting calls out experience with Linux, Testing, Python, C and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent.

Role
QA Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Shenzhen, China
Experience
3+ years
Education
Master's degree
Posted
Apr 20, 2026
AI Summary
Design and implement functional/performance tests for CUDA products including drivers and libraries. Automate tests, develop test plans, triage failures, and optimize testing workflows. Requires MS/PhD in computer science, 3+ years QA experience, proficiency in C/C++ and Python, and Linux/Windows expertise.

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Job description

from Nvidia careers

NVIDIA is the world leader in GPU Computing. We are passionate about markets including Data centers, Gaming, Professional vision, Automotive, HPC and networking. We are well positioned as the “AI Computing Company”, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you.

We are the CUDA Test Development team, responsible for all aspects of quality assurance, including regression testing, release testing, test automation, and test development. We ensure the highest quality standards for every CUDA product. We are now seeking a highly skilled and motivated Senior CUDA Test Development Software Engineer.

What you will be doing:

  • Design and implement functional/performance tests for CUDA products, like driver and library.

  • Automate CUDA tests, design test plans and integrate into automation testing infrastructure.

  • Triage test results, root cause test failures or performance drops, and drive through bugs to fix.

  • Develop scripts/tools and optimize workflow to improve efficiency and productivity.

What we need to see:

This is an excerpt. Read the full job description on Nvidia careers →
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