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What you will be doing:
Design and implementfunctionality/performancetests for CUDA Driver, Library and Kernel.
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 area.
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.
Strong Linux/Windows OS knowledge.
Ways to stand out from the crowd:
Excellent English communication and collaboration skills.
Good understanding of CUDA, Gcov, Coverity, Supercomputer, HPC, etc.
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