NVIDIA 2026 Internships: PhD Graphics and Simulation Research

By submitting your resume, you’re expressing interest in one of our 2026 Graphics and/or Simulation focused 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. 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 Graphics and Simulation teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. 

Learn more about Research at NVIDIA. 

What you will be doing: 

• Design and develop algorithms, hardware, and software that advance the state of the art in computing, graphics, media processing, and other technologies central to NVIDIA’s business. 

• Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results may include prototypes, patents, leading to products and publications. 

• Collaborate with other team members, teams, and/or external researchers. 

What we need to see: 

• Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.     

• Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:  

• Python, C, CUDA, HLSL/GLSL, ML Frameworks (PyTorch, JAX, Warp) 

• Strong background in research with publications at top conferences. 

• Excellent communication and collaboration skills. 

• Experience with large-scale model training is a plus. 

Potential internships require research experience in at least one of the following areas: 

Real-Time Graphics and Rendering 

• Differentiable Rendering 

• Ray Tracing and Path Tracing 

• Neural Rendering Models 

• Light Transport and Material/Shape Modeling 

Simulation and Animation 

• Physics-based simulation 

• World models 

• Deep learning for animation 

• 3D and 4D Content Creation 

• Virtual and augmented reality environments 

Generative AI for graphics, simulation, and content creation 

3D Deep Learning 

Digital human creation 

Human motion modeling 

GPU-accelerated algorithms and systems for graphics and simulation 

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