英伟达Deep Learning Engineering Intern - 2026

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.

Location: Beijing THE ROLE: AMD is looking for an AI R&D intern to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD’s abilities to explore the highest quality, academic/industry-leading technologies. THE PERSON: The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: Research the latest advancements and technologies in Generative AI, more specifically image/video/world generation, MLLM, designing and developing innovative applications aligned with company needs. Study the SOTA generation algorithms and enhance the accuracy and performance of existing models. Explore optimized deployment approaches ensuring efficiency in production environments. Collaborate with teams, share best practices, and provide guidance and support on Generative AI technologies.

An exciting internship opportunity to make an immediate contribution to AMD's next generation of technology innovations awaits you! We have a multifaceted, high-energy work environment filled with a diverse group of employees, and we provide outstanding opportunities for developing your career. During your internship, our programs provide the opportunity to collaborate with AMD leaders, receive one-on-one mentorship, attend amazing networking events, and much more. Being part of AMD means receiving hands-on experience that will give you a competitive edge. Together We Advance your career! JOB DETAILS: Location: Shanghai, China Onsite/Hybrid: This role require the student to work at least 3 days/week, either in a hybrid (minimum 3 Days in Office) or onsite work structure throughout the duration of the co-op/intern term. Duration: Jan - June 2026 WHAT YOU WILL BE DOING: We are seeking a highly motivated Machine Learning (ML)/Artificial Intelligence (AI) intern/co-op to join our team and contribute to the development of next-generation product differentiation features alongside expert ML/AI engineers. In this role, you will: Gain hands-on experience with cutting-edge technologies in ML, AI, and High-Performance Computing. Learn to analyze and optimize GPU Kernel to maximize performance for specific AI operations. Contribute to projects such as: Researching, developing, and deploying machine learning and computer vision solutions for AMD's current and future products. Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Design and optimize deep learning models specifically for AMD GPU performance. Assisting AI software teams with roadmap planning, collateral development, and customer engagements. Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. Apply sound engineering principles to ensure robust, maintainable solutions.

• Develop and refine software solutions to expedite LLM SW stack (could be within inference/post train or pre-train phase) by harnessing the power of GPU technology. • Collaborate closely with a world-class team of engineers to implement and refine GPU-based algorithms. • Analyze and determine the most effective methods to improve performance, ensuring seamless execution across diverse computing environments. • Engage in both individual and team projects, contributing to NVIDIA's mission of leading the AI revolution. • Work in an empowering and inclusive environment to successfully implement groundbreaking AI solutions.