英伟达Software Engineering 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 …
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.
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.
We are now looking for a software engineer intern. The NVIDIA Developer Tools team is seeking a software engineer intern to join our effort to advance the state of graphics and compute performance analysis and tuning. You will help developers of groundbreaking products in Automotive, VR, Gaming, Deep Learning and High Performance Computing to analyze and improve the performance of their products. You will have the opportunity to learn the pipeline and driver stack of the world's most sophisticated GPUs, work with a group of talented engineers from all over the world, and apply your software development skills to improve our products. What you’ll be doing: • Develop algorithms to exercise various parts of the GPU pipeline to verify our performance metrics. • Deeply dive into NVIDIA GPU architecture and software stack, develop new feature for NVIDIA GPU performance profiling tools. • Write unit and integration tests to verify the functionality, performance, stability, resource usage of our products.