PhD Networking Research Intern: Build AI‑Ready Systems

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking a PhD-level research intern in Santa Clara, CA to advance computing and AI research at scale. You will develop algorithms and hardware/software co-design, contribute to long-horizon technology directions, and publish findings.

The role emphasizes strong Python, C++, and parallel programming skills, with opportunities to produce prototypes, papers, and patents as part of cutting-edge projects in networking, HPC, and AI systems.

Qualifications

• 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.

Skills

Python

C++

Parallel programming

Networking

Education

PhD candidate in CS/CE/EE/Physics/Math or equivalent

Job description

NVIDIA is seeking a PhD-level research intern in Santa Clara, CA to advance computing and AI research at scale. You will develop algorithms and hardware/software co-design, contribute to long-horizon technology directions, and publish findings.

The role emphasizes strong Python, C++, and parallel programming skills, with opportunities to produce prototypes, papers, and patents as part of cutting-edge projects in networking, HPC, and AI systems.