Description
NVIDIA is seeking a CUDA Test Development Software Intern. As a leader in GPU Computing, NVIDIA's GPUs power modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and drive autonomous vehicles.
As an intern, you will design and implement tests for CUDA library and driver, automate CUDA tests, design test plans, and enable them in automation testing infrastructure. You will also triage test results, isolate test failures, and improve test coverage.
To be successful in this role, you will need to:
- Work 5 days a week for at least 1 year
- Be pursuing an MS or PhD degree from a leading university in computer science
- Have familiarity with programming and debugging skills with C/C++ and Python
- Be interested in test case development, test automation, and failure analysis
- Have experience using AI to improve quality and productivity across the end-to-end QA workflow
- Have good QA sense, knowledge, and experience in software testing
Preferred qualifications include hands-on experience developing AI skills and AI agents to solve real-world problems, strong English communication and collaboration skills, familiarity with parallel programming, ideally CUDA C/C++, and background with VectorCAST, Gcov or other dev tools.