PhD Research Intern, Networking - 2027

NVIDIA•Us, CA

About The Position

NVIDIA Research is seeking extraordinary networking innovators to join our NVResearch team. As a research intern on this team, you will contribute to the development of future high-performance networking and computing systems. We are seeking a balanced background of research excellence in building systems and a deep understanding and broad perspective across the fields of computer architecture and communication systems for distributed computation. NVIDIA has pioneered programmable GPUs and the CUDA language, and this visionary Research team will take those technologies to the next level with its creative ideas and new inventions. This position offers you the opportunity to have a real impact while working with some of the most creative and forward-thinking people in the world who are here at this dynamic, technology-focused company.

Requirements

Pursuing a PhD degree in CS, CE, EE, Physics, Math, or equivalent program.
Relevant industry or university research experience (hardware, software, networking).
Background in networking architectures, topologies, routing, and system design.
Publications at top-tier conferences (ISCA, HPCA, NSDI, SIGCOMM, etc.), or research clearly on track toward them.
Hands-on experience with simulation of networks and high-performance computing systems.
Familiarity with inference and training systems for AI models and associated communication patterns.
Excellent programming skills in a rapid prototyping environment such as Python; C++ and parallel programming.
Experience building or using AI agents to accelerate research — automating experiments, analyzing results, or generating and reviewing code.

Responsibilities

Develop algorithms and design hardware and software, extending the state of the art in computing, networking, and other technology areas surrounding NVIDIA's business.
Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products.
Deliverable results include prototypes, patents, and publications.
Contribute to research that informs NVIDIA's technology direction 5-10 years out.
Work focuses on long-horizon problems rather than products currently shipping or in development, except as to how they can be extended and improved.
Projects can include but are not limited to: optimizing communication stacks for AI training and inference, designing network protocols and congestion control, co-designing AI systems across software and hardware, developing circuits and microarchitecture for network controllers and switches, and architecting networks built on optical switching and silicon photonics.