PhD Research Intern, Networking (2027)
NVIDIAJob Title
PhD Research Intern, Networking (2027)
Role Summary
Join NVIDIA Research (NVResearch) as a PhD research intern working on future high-performance networking and computing systems. You will contribute to long-horizon research that can influence NVIDIA's technology direction 5–10 years out and produce prototypes, publications, and patents.
Experience Level
Internship - PhD-level research internship (intended for current PhD students).
Responsibilities
Work on research and prototyping in networking, systems, and hardware/software co-design to advance high-performance compute and communication.
- Develop algorithms and design hardware and software to extend state of the art in computing and networking.
- Invent and prototype new techniques, methodologies, processes, and devices; produce prototypes, patents, and publications.
- Conduct long-horizon research that informs technology direction rather than short-term product work.
- Potential project areas: optimizing communication stacks for AI training/inference, network protocols and congestion control, software/hardware co-design for AI systems, circuits/microarchitecture for network controllers and switches, optical switching and silicon photonics network architectures.
Requirements
Key skills and experience expected for successful candidates.
Must have:
- Relevant research experience in hardware, software, or networking (industry or university).
- Background in networking architectures, topologies, routing, and system design.
- Track record of or clear trajectory toward publications at top-tier conferences (ISCA, HPCA, NSDI, SIGCOMM, etc.).
- Hands-on experience simulating networks and high-performance computing systems.
- Familiarity with AI model training and inference systems and their communication patterns.
- Strong programming skills for rapid prototyping (Python); experience with C++ and parallel programming.
Nice to have:
- Experience building or using AI agents to automate experiments, analyze results, or generate/review code.
Education Requirements
Pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, or an equivalent doctoral program ("or equivalent program" as stated in source).
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
