Senior CUDA Test Development Software Engineer, SDET

NVIDIA is hiring a Senior CUDA Test Development Software Engineer, SDET in Shenzhen, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this software engineer role Uses AI ●●○○: an ordinary role that requires AI tools.
Level classes it as a senior role.
NVIDIA has 2,800+ other open roles on Level.

AI in this role

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:

MS or PhD degree from a leading university in computer science or a related field.
At least 3 years of relevant professional experience.
Excellent QA sense, knowledge, and experience in software testing.
Rich experience in test case development, tests automation and failure analysis.
Proficient programming and debugging skills in C/C++ and Python.
Comprehensive knowledge of Linux and Windows operating systems.
Experience in using AI development tools for test plans creation, test cases development and test cases automation.

Ways to stand out from the crowd:

Excellent English communication and collaboration skills.
Strong understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.

How we rate this

Senior CUDA Test Development Software Engineer, SDET at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.