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.

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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.

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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.

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What you will be doing:

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• 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.

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What we need to see:

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• 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.

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

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Real-Time Graphics and Rendering

• Differentiable Rendering

• Ray Tracing and Path Tracing

• Neural Rendering Models

• Light Transport and Material/Shape Modeling

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Simulation and Animation

• Physics-based simulation

• World models

• Deep learning for animation

• 3D and 4D Content Creation

• Virtual and augmented reality environments

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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

Synthetic data generation

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