By submitting your resume, you’re expressing interest in one of our 2025 Research 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. We engineer technology for the da Vincis and Einsteins of our time. 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 work is truly unique. Part science. Part art. Completely rewarding. Every breakthrough helps shape what comes next. 

Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Research teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. 

Throughout the 12-week internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a PhD degree within a relevant or related field. 

Learn more about NVIDIA Research. 

Potential Research Areas for Internships Include: 

Autonomous Vehicles 

• Research and/or internship experience related to the following areas could be required: Vehicle/Robot Autonomy. 

Graphics 

• Research and/or internship experience related to the following areas could be required: Neural Rendering, Graphics, Generative Modeling, Large Language Models, Human Behavior Understanding, Digital Human Creation, Image Based Modeling/Rendering, 3D Computer Vision 

Computer Vision and Deep Learning 

• Research and/or internship experience related to the following areas could be required: Post-Training Model Optimization (Pruning, Quantization, NAS), Efficient Architecture Design, Adaptive/Dynamic Inference, Resource-Efficient Training and Finetuning 

Generative AI 

• Research and/or internship experience related to the following areas could be required: Foundation Models, Image Generation, Video Generation, 3D Generation, Audio Generation, Diffusion Models, Multimodality, Video Understanding. 

Robotics 

• Research and/or internship experience related to the following areas could be required: Robot Manipulation, Robot Control, 3D Computer Vision, Physics-Based Simulation, Human-Robot Interaction, Natural Language Processing, Reinforcement Learning, Sim-To-Real Learning of Robotic Policies, End-to-End Learning of Perception and Controls, and Agent Learning. 

Programming Systems 

• Research and/or internship experience related to the following areas could be required: Programming Systems, Distributed Computing, Parallel Computing, Large Language Models, EDA/VLSI, Operating Systems, Compilers, and/or HPC. 

Computer Architecture 

• Research and/or internship experience related to the following areas could be required: ASIC and VLSI Design Techniques, Machine Learning Accelerator Approaches, Novel Digital VLSI Circuits, Model Compression, Networking Architecture, Hardware-Software Co-Design. 

Hardware 

• Research and/or internship experience in one or more area of High-Performance Circuit Design: PLLs and Clocking, SerDES and High-Speed Signaling, Photonics, SRAMs, Power Delivery/Regulation, Security Circuits, and High-Speed Logic. 

What we need to see:  

• Currently pursuing a PhD degree within Electrical Engineering, Computer Engineering, Computer Science, or a related field 

• Background in research with publications from top conferences. 

• Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C, C++, HLSL, CUDA, TensorFlow, PyTorch, Perl, Cadence, Synopsys, HFSS 

Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.