英伟达Deep Learning Engineering Intern - 2026
任职要求
• Subject to arrangement to different works at any time to take on different tasks and challenges• Self-motivated attitude and motivation to make things success, intent to learn• BS/MS degree in Computer Science/EE or related• Proven fundamentals in c++/python programming and SW design and debug skills• Abundant knowledge of ML/DL techni…
工作职责
• Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values• World model and nvidia cosmos related development and bug fixes• Develop solutions for DNN models acceleration optimization and deployment.
We are seeking a motivated Machine Learning Engineer Intern to join our autonomous vehicle research and development team. The intern will assist in building, training, and optimizing machine learning models that enable real-time perception, decision-making, and control for self-driving vehicles. What you’ll be doing: • Develop and test deep learning models for object detection, tracking, and behavior prediction. • Preprocess and analyze sensor data from LiDAR, radar, and camera systems. • Collaborate with cross-functional teams on algorithm integration and performance evaluation. • Support data labeling, simulation, and validation pipelines. • Document model performance and contribute to internal reports.
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.
AI automation tools development engineering intern is needed for NV product Quality assurance and finding auto solutions for every test step which make test work more efficient and product more qualified. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an understanding of different operating systems, such as Windows, Mac, Android, Linux. What you’ll be doing: • Apply Machine Learning, Deep Learning techniques to overcome QA and Automation challenges for different NVIDIA Product lines • Maintain and optimize new and existing automated tests with AI solution • Design, implement and augment existing test frameworks with AI automation tools to reduce manual development efforts and make the current automation framework more productive and smart • Work closely and collaboratively with other development and QA teams to gather automation requirements and review automation design
Do you want to help drive the progress of compilers for machine learning applications? Are you excited to learn how GPU performance powers technology such as mobile gaming, machine learning (ML), and self-driving cars? Are you passionate about challenging yourself and would you love to contribute as part of a world-class company? We are building the next generation of compiler technologies to accelerate ML workloads. We are looking for an intern to work on compiler verification & testing. What you’ll be doing: In this role you will work closely with deep learning compiler developers to verify new and state of the art deep learning related features and components including implementing and executing functional and performance testing and benchmarking software solutions. This would include implementing verification programs, tools, scripts, and libraries. You will apply deep learning and other sophisticated techniques to implement compiler verification solutions.