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NVIDIA • Shenzhen, Guangdong Province, China
Role & seniority: Senior CUDA Test Development Software Engineer
Stack/tools: C/C++, Python; Linux and Windows; test automation; CUDA; AI development tools; GCov, VectorCAST, Coverity; scripting and debugging
Design and implement functional/performance tests for CUDA products (driver and library)
Automate CUDA tests, design test plans, and integrate into automation infrastructure
Triage test results, diagnose root causes, drive bugs to fix, and develop scripts/tools to improve efficiency
MS or PhD in CS or related field; 3+ years relevant experience
Strong QA sense with software testing experience; test case development and failure analysis
Proficient in C/C++ and Python; Linux and Windows expertise
Experience with AI development tools for test plans, test cases development, and automation
Excellent English communication and collaboration skills
Knowledge of CUDA, HPC, GCov, VectorCAST, Coverity
Location & work type: Location and work type not specified
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. We are now seeking a highly skilled and motivated Senior CUDA Test Development Software Engineer. 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.