NVIDIA 2027 Internships: Ph.D. Research Graphics and Simulation

at Nvidia

USD 38-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Algorithms @ 3 CUDA @ 3 Communication @ 3 Deep Learning @ 3 GPU @ 3 GenAI Generative AI @ 3 JAX @ 3 PyTorch @ 3 Python @ 3

Details

NVIDIA is seeking strategic, ambitious, hardworking, collaborative, and creative Ph.D. students for internship opportunities with its Graphics and Simulation teams. Interns will gain hands-on experience working on challenges in accelerated computing, AI, digital twins, graphics, simulation, and related technologies.

Responsibilities

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.
Deliver prototypes, patents, products, and publications.
Collaborate with team members, other teams, and external researchers.

Requirements

Actively enrolled in a university Ph.D. program in Computer Science, Electrical Engineering, or a related field for the full duration of the internship.
Clearly indicate the anticipated graduation month and year on the resume or CV.
Depending on the internship, prior experience or knowledge may be required in Python, C, CUDA, HLSL/GLSL, or machine-learning frameworks such as PyTorch, JAX, and Warp.
Strong research background with publications at top conferences.
Excellent communication and collaboration skills.
Experience with large-scale model training is a plus.
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 or 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

Applications are accepted on an ongoing basis. NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and equal employment opportunity.