We’re looking for highly talented students to build excellent AI products. At NVIDIA, you’ll have the opportunity to work with senior engineers to develop cutting‑edge AI technologies used in real‑world applications such as RTX Video Super Resolution, NVIDIA Smooth Motion, the NVIDIA DLSS series, and NVIDIA Ge Force NOW. It’s a great place to innovate and transform AI research into products.

What you’ll be doing:

• Research next‑generation video codec standards and hardware architectures (e.g., AV2).

• Conduct research on AI‑based video processing and compression systems.

• Study and prototype algorithms for the above areas; deploy models across platforms; optimize models, including custom CUDA kernel implementations.

What we need to see:

• Master’s/PhD candidate in EE/CS or a related field.

• Basic proficiency in C/C++/Python is required.

Ways to stand out from the crowd

• Quick learner, creative, and willing to take on challenges in new fields.

• Fluent in English with strong communication skills.

• Familiarity with video codec standards such as H.264 and AV1 is a big plus.

• Experience with deep‑learning–based model training, inference, and deployment is a plus.

• Background with CUDA development is a plus