英伟达NVIDIA 2026 Internships: Deep Learning Computer Architecture - China

By submitting your resume, you’re expressing interest in one of our 2026 Computer Architecture Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.   NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.  Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Computer Architecture teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

By submitting your resume, you’re expressing interest in one of our 2026 Software Engineering Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.   NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.  Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Software teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.    Potential Internships in this field include:    Development Tools  • Debugging complex system-level issues using Jenkins   • Course or internship experience related to the following areas could be required: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization  Cloud  • Supporting overall architecture and design of our cloud storage infrastructure   • Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end  • Course or internship experience related to the following areas could be required: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging  Tools Infrastructure  • Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies  • Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging   • Course or internship experience related to the following areas and technologies could be required: Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)  Machine Learning Operations  • Deep Learning, GPU Computing, Accelerated Computing  • Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS, cuDNN)  • Data Preprocessing, Training Acceleration (CUDA, cuDNN, NCCL), Convolution Operations (cuDNN), Real-Time Inference (TensorRT)    • Building Infrastructure for Back-End Analytics

By submitting your resume, you’re expressing interest in one of our 2026 Autonomous Vehicles and Robotics Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.   NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.    Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles and Robotics teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.    Potential Internships in this field include:    Autonomous Vehicles  • Developing and training state-of-the-art Deep Neural Networks for path generation  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests  • Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation  Robotics  • Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac  • Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

The NVIDIA Isaac Loco-Manipulation team is seeking exceptional machine learning Interns to join our world-class robotics initiatives. As an intern, you’ll work alongside industry-leading experts, gaining hands-on experience and contributing to the future of humanoid loco-manipulation. We’re looking for strategic, ambitious, and creative individuals who are passionate about pushing the boundaries of robotics. What You’ll Be Doing: • Collaborate with researchers and engineers to define and execute projects focused on humanoid loco-manipulation and mobile manipulation. • Contribute to GR00T and Cosmos foundation models. • Support the development of reference workflows in Isaac Lab and Newton. • Advance technologies for robot learning and synthetic data generation using human video datasets. • Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments. • Integrate your work with NVIDIA’s advanced robotics platforms. • Transfer your innovations into products, with deliverables including prototypes, patents, and/or publications in top conferences and journals.