NVIDIA 2026 Internships: PhD Graphics and Simulation Research
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Required Skills & Competences ?
Python @ 3 Algorithms @ 3 Communication @ 3 HTTP @ 3 PyTorch @ 3 CUDA @ 3 GPU @ 3Details
NVIDIA is accepting applications for its 2026 Graphics and Simulation focused research internships. By submitting your resume, you express interest in one of the Graphics and/or Simulation research internship opportunities. Resumes are reviewed on an ongoing basis and a recruiter may reach out if your experience fits an opportunity.
NVIDIA pioneers accelerated computing across AI and digital twins, impacting industries from gaming to robotics, autonomous vehicles to healthcare, climate science to virtual worlds. These internships offer hands-on experience with industry-leading Graphics and Simulation research teams.
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 NVIDIAβs business.
- Invent new techniques, technologies, methodologies, processes, and devices to enable new products or product categories. Deliverables may include prototypes, patents, publications, and product contributions.
- Collaborate with team members, cross-functional teams, and external researchers.
Requirements
- Must be actively enrolled in a university pursuing a PhD in Computer Science, Electrical Engineering, or a related field for the entire duration of the internship.
- Depending on the specific internship, prior experience or knowledge may include programming skills and technologies such as: Python, C, CUDA, HLSL/GLSL, and ML frameworks (PyTorch, JAX, Warp).
- Strong research background with publications at top conferences is expected for many positions.
- 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 (non-exhaustive):
- Real-time graphics and rendering: differentiable rendering, ray tracing and path tracing, neural rendering models, light transport, 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.
Compensation and Benefits
- Internship hourly rate range: 30 USD - 94 USD (actual rate depends on position, location, year in school, degree, and experience).
- You will be eligible for intern benefits (see NVIDIA intern benefits page for details).
How to Apply & Additional Information
- Applications are accepted on an ongoing basis.
- Learn more about Research at NVIDIA: https://www.nvidia.com/en-us/research/
- Student resources and early talent information: http://www.nvidia.com/content/dam/en-zz/Solutions/about-nvidia/careers/UR-Student-Resources.pdf
- Intern benefits information: https://www.nvidia.com/en-us/benefits/interns/
NVIDIA is committed to a diverse work environment and is an equal opportunity employer. They do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or other characteristics protected by law.