AI/LLM Network Research Intern (High Speed Network) - 2027 Start (PhD)

What you'll do

• Design, optimize, implement, and deploy transport protocols and congestion-control algorithms for AI/LLM applications.
• Develop high-performance AI communication frameworks and network protocol stacks, including host-network-application co-design.
• Track developments in academia and industry, identify system innovations, and present research in academic papers.

What they ask for

• Currently pursuing a PhD in computer networking or a related technical discipline.
• Experience in at least one stated area: TCP/RoCEv2, Socket or verbs API network programming, or data-center congestion-control algorithms.
• Knowledge of scale-up protocols such as PCIe, NVLink, and UALink, and how they differ from scale-out protocols.
• High-speed network systems experience; proficiency in one or more of C/C++, Python, or Go; and some knowledge of GPU architecture.

Nice to have

• Familiarity with AI training/inference systems and software-hardware co-design; top-tier networking conference publications.
• Experience developing high-performance communication frameworks, including NCCL, MPI, or RPC libraries.

Tools

TCP, RoCEv2, Socket, verbs APIs, PCIe, NVLink, UALink, C/C++

AI focus

Develops high-performance transport, congestion control, communication frameworks, and network stacks for AI/LLM applications.