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What you’ll be doing:
Design and Implement unit, integration and API tests for CUDA driver and library.
Design and implement tests for new features of CUDA driver and library.
Automate CUDA tests, design test plan and enable them in automation testing infrastructure.
Triage test results, isolate test failures and improve test coverage.
What we need to see:
MS or PhD degree from a leading university in computer science or equivalent experience.
5 years work experience at minimum.
Strong programming and debugging skills with C/C++, Python and Makefile.
Rich experience in test cases development, tests automation and failure analysis.
Good QA sense, knowledge and experience in software testing.
Ways to stand out from the crowd:
Excellent English communication and collaboration skills.
Experience in parallel programming, ideally CUDA C/C++, is a plus.
Experience in VectorCAST, Bullyseye, Gcov or Coverity is a plus.
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