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’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 relevant
3 years work experience at minimum
Strong programming and debugging skills with C/C++, Python and Makefile
Developer background who has experience using AI tool to automate QA end-to-end workflow
Rich experience in test cases development, tests automation and failure analysis
Good QA sense, knowledge, and experience in software testing
Strong Linux/Windows OS knowledge
Ways to stand out from the crowd:
Excellent English communication and collaboration skills
Experience in parallel programming, ideally CUDA, is a plus
Background in VectorCAST, Bullyseye, Gcov or Coverity is a plus