英伟达Software Intern, CUDA Test Development - 2026
任职要求
• Can work 4 days a week for at least 1 year • Pursuing MS or PhD degree from a leading university in computer science. • Familiar with programming and debugging skills with C/C++ and Python. • Interested in test cases development, tests automation and failure analysis. • Experience using AI development tools to improve quality and p…
工作职责
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 area and we are now looking for a CUDA Test Development Software Intern. What you’ll be doing: • Design and Implement API tests for 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.
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 area and we are now looking for a CUDA Test Development Software Intern. What you’ll be doing: • Design and Implement API tests for 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.
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 area and we are now looking for a CUDA Test Development Software Intern. What you’ll be doing: • Design and Implement API tests for 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.
We are now looking for a Deep Learning Software QA Engineer Intern!The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Be responsible for functionality, compatibility, and performance tests in NVIDIA AI SW stack release. • Develop, maintain, and improve test automation infrastructure with using AI tools. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
We are now looking for a Deep Learning Software QA Engineer Intern!The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Be responsible for functionality, compatibility, and performance tests in NVIDIA AI software stack release. • Develop, maintain, and improve test automation infrastructure with using AI tools. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.