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Senior CUDA Test Development Software Engineer - China, Shanghai

4 days ago


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Job Opportunity Details

Type

Full Time

Salary

Not Telling

Work from home

No

Weekly Working Hours

Not Telling

Positions

Not Telling

Working Location

China, Shanghai, China, China   [ View map ]

NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. 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.

Our team is mainly focusing on CUDA automation testing, CUDA Safety and CUDA test development areas, and we are now looking for a Senior CUDA Test Development Software Engineer.

What you will be doing:

  • Design and implement functionality/performance tests for CUDA driver and Libraries.

  • Automate CUDA tests, design test plan and enable them in automation testing infrastructure.

  • Triage test results, root cause test failures or performance drops, and drive the bug 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 relevant.

  • 3 years work experience at minimum.

  • Excellent QA sense, knowledge, and experience in software testing.

  • Excellent trouble shooting skill, logical thinking, and inference capability.

  • Rich experience in test case development, tests automation and failure analysis.

  • Strong programming and debugging skills with C/C++, Python.

Ways to stand out from the crowd:

  • Excellent English communication and collaboration skills.

  • Good understanding of CUDA, Gcov, Coverity, Supercomputer, HPC, etc.


More Information

Application Details

  • Organization Details
    Nvidia
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