英伟达Software Engineering Intern, Test Development - 2026
任职要求
• Currently pursuing Master's degrees in Computer Science and Electronic Engineering • Fluent oral and written English • Experience in using AI development tools to improve quality and productivity across the end-to-end QA workflow, including test plan creation, test case development, and test automation • Proficient in Python and shell scripting • Good Knowledge on Linux OS • QA sense, knowledge, and experience in software testing • Great …
工作职责
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: • Be responsible for executing test cases to validate NVIDIA GPU Cloud products • Automate test cases and maintain the automation scripts • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans
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.
As an intern, you will: - Perform definition and development of LLM based tool based on the input from Apple Hardware Engineering EPx (EPM/EPS) organization and transfer those into working tools. - Design and prototype AI-powered tools that enable Hardware EPx(EPM/EPS) to perform more effective data analysis. - Implement backend service and front-end interface. Certain familiarity with the required language is a must (Backend - Python; Front-end - React/Next.js). - Explore EPx faced business and convert those to AI/ML workflows.
As an intern, you will: - Perform definition and development of LLM based tool based on the input from Apple Hardware Engineering EPx (EPM/EPS) organization and transfer those into working tools. - Design and prototype AI-powered tools that enable Hardware EPx(EPM/EPS) to perform more effective data analysis. - Implement backend service and front-end interface. Certain familiarity with the required language is a must (Backend - Python; Front-end - React/Next.js). - Explore EPx faced business and convert those to AI/ML workflows.