英伟达Machine Learning Engineering Intern - 2026
任职要求
• Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Electrical Engineering, Robotics, or a related field.
• Strong knowledge of Python and libraries such as PyTorch or TensorFlow.
• Familiarity…工作职责
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.
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
This role will collaborate closely with experts or engineers at Information Intelligence. You will receive hands-on mentorship and guidance throughout the project exploration, as well as gaining significant experience in software engineering and natural language processing. We anticipate you could use your deep knowledge to tackle meaningful technical problems, transfer your ideas into solutions in the next generation of Siri product.
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.
• You will work and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures • You will provide the best AI solutions using GPUs working directly with key customers • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models