英伟达Arch Intern, Video - 2026
任职要求
• Master candidate in EE/CS or related field • Basic C/C++ knowledge is a must • Fluent English and good communication skills Ways to stand out from t…
工作职责
NVIDIA MMPLEX team is in Shanghai with more than 300 team members. We deliver cutting-edge IP solutions to multiple NVIDIA product lines, for example: datacenter, GeForce, automotive, networking etc. Our IPs include micro-processor, security, DL/CV accelerators, display, video encoder/decoder, image processor etc. We are looking to grow our teams with the smartest people in the world, join us if you want to learn about world’s leading IP technology and development process. What you’ll be doing: • Work with senior video arch engineer on video codec, image/video processing or computer vision-related domains, using either traditional or DL-based approaches. • Algorithm/architecture study, prototyping and optimization in the above domains. • Co-work with hardware/software engineers on implementation of the new algorithm/architecture.
NVIDIA MMPLEX team is in Shanghai with more than 300 team members. We deliver cutting-edge IP solutions to multiple NVIDIA product lines, for example: datacenter, GeForce, automotive, networking etc. Our IPs include micro-processor, security, DL/CV accelerators, display, video encoder/decoder, image processor etc. We are looking to grow our teams with the smartest people in the world, join us if you want to learn about world’s leading IP technology and development process. What you’ll be doing: • Algorithm and architecture study of display solutions • Modeling of Display IP
NVIDIA is building the world’s most groundbreaking and state of the art computing platforms for the world to use. NVIDIA NVDLA HW team delivers high quality deep learning accelerator IP to NVIDIA produce lines. Our team’s work includes Deep Learning algorithm, HW architecture/design/verification and SW prototyping. We are seeking a talented Deep Learning Architecture Engineer to design architecture for innovative deep learning projects and groundbreaking applications such as Gaming, Robotics, and Autonomous Vehicles. You will work with a very brilliant, creative, and helpful team, for a very complex problem that will help to make the world better. What you’ll be doing: • Research, design, and develop architecture solutions of NVIDIA’s accelerating processor • Work on Deep-Learning architecture, algorithms, and software development • Develop function/performance/power models for NVDLA • Co-work with other teams to deliver high quality Deep-Learning processors
• Learn the architecture of the current design • Work closely with senior arch to understand the requirements, challenges, research & evaluate different solutions, and finally produce a solution proposal to meet all requirements • Develop performance models and tests, to validate your proposal
We are now looking for a GPU C++ Modeling Engineer intern – Performance/Functional Modeling, Validation and Analysis of Shader. TPC arch team is a fast-growing team which welcomes all level engineers to join. Our aim is to explore and design better architecture of GPU which will help AI program run efficiently and rendering in games become faster and more realistic. TPC is core of GPU. It includes several units for schedule, computation and cache. You will work will US team closely, including test writing, function and performance implementation of kinds of features and study of new features. What you’ll be doing: • Investigate and propose architecture ideas based on quantitative study of existing and projected SM architecture. • Develop performance and functional simulation models. • Develop performance and functional testplan and tests to validate new SM architectural and features. • Test and debug on simulators, RTL and real silicon.