Senior System Software Engineer - Github
NVIDIA is the world leader in GPU Computing. We are passionate about markets including Data centers, Gaming, Professional vision, Automotive, HPC and networking. 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.
We are the CUDA Test Development team, responsible for all aspects of quality assurance, including regression testing, release testing, test automation, and test development. We ensure the highest quality standards for every CUDA product.
What you will be doing:
Design and implement functional/performance tests for CUDA products, like driver and library.
Automate CUDA tests, design test plans and integrate into automation testing infrastructure.
Triage test results, root cause test failures or performance drops, and drive through bugs 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 a related field.
At least 3 years of relevant professional experience.
Excellent QA sense, knowledge, and experience in software testing.
Rich experience in test case development, tests automation and failure analysis.
Proficient programming and debugging skills in C/C++ and Python.
Comprehensive knowledge of Linux and Windows operating systems.
Experience in using AI development tools for test plans creation, test cases development and test cases automation.
Ways to stand out from the crowd:
Excellent English communication and collaboration skills.
Strong understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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