PhD Research Intern: Graphics & Simulation Innovator

Nvidia Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Competitive pay

Job summary

NVIDIA offers a Ph.D. Research Graphics and Simulation internship in Santa Clara, CA, focusing on advancing real-time graphics, rendering, and AI-driven simulation.

You will design and develop algorithms, collaborate with researchers, and contribute to publications while gaining hands-on experience with industry-leading teams. Applicants must be enrolled in a Ph.D. program, with an anticipated graduation date clearly indicated on the resume.

Qualifications

• Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date must be clearly indicated on a resume or CV to be considered.
• Programming skills and technologies include 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.

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

Skills

Python

C

CUDA

HLSL/GLSL

PyTorch

JAX

Warp

Education

Ph.D. in Computer Science / Electrical Engineering (or related field)

Job description

NVIDIA offers a Ph.D. Research Graphics and Simulation internship in Santa Clara, CA, focusing on advancing real-time graphics, rendering, and AI-driven simulation.

You will design and develop algorithms, collaborate with researchers, and contribute to publications while gaining hands-on experience with industry-leading teams. Applicants must be enrolled in a Ph.D. program, with an anticipated graduation date clearly indicated on the resume.