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Nvidia NVIDIA Internships PhD Graphics Simulation Research 
United States, California 
633192020

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US, CA, Santa Clara
time type
Full time
posted on
Posted 6 Days Ago
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your resume,expressing interest in one of our 2026 Graphics and/or Simulation focused Research Internships.review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Graphics and Simulation

Learn more about

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 couldinclude 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 Transportand 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

Synthetic data generation

and other helpful student resources related to our latest technologies and endeavors.

You will also be eligible for Intern

Applications are accepted on an ongoingbasis.NVIDIA

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