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What you will be doing:
Design and implementfunctionality/performancetests for CUDA driver and Libraries.
Automate CUDA tests, design test plans 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 of work experience at minimum.
Excellent QA sense, knowledge, and experience in software testing.
Excellent troubleshooting skills, logical thinking, and inference capability.
Rich experience in test case development, test automation, and failure analysis.
Strong programming and debugging skills with C/C++, and Python.
Strong Linux OS knowledge
Ways to stand out from the crowd:
Excellent English communication and collaboration skills.
Embedded platform development experience
Good understanding of CUDA, Gcov, Coverity, Supercomputer, HPC, etc.
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