Research Intern - 2026 Start

Responsibilities

• Design, implement, and deploy high-speed network technologies for AI/LLM applications.
• Develop platforms and systems for monitoring, analyzing, and diagnosing large-scale AI/LLM networks.
• Research and develop high-performance AI communication frameworks and network protocol stacks.
• Optimize host-network-application co-design to improve AI/LLM network scalability, reliability, and performance.
• Track academic and industry advances, identify innovative system components, and present findings in academic papers.

Requirements

• Currently pursuing a PhD in computer networking or a related technical discipline.
• Experience with computer networking or network programming.
• Proficiency in one or more mainstream programming languages, including C/C++, Python, or Go.
• Familiarity with high-speed network systems, including RDMA, congestion control, and AI network optimization.
• Familiarity with AI training or inference systems and software-hardware co-design is preferred.
• Experience developing high-performance communication frameworks such as NCCL, MPI, or RPC libraries is preferred.
• Experience developing software systems for AI network diagnosis and performance optimization is preferred.
• Top-tier networking conference publications such as NSDI, SIGCOMM, OSDI, or SOSP are preferred.

Benefits

• 2026 internship opportunity with hands-on industry exposure, learning, community-building, and professional development events.
• Opportunity to collaborate with industry experts and contribute to products, research, emerging technologies, and academic papers.
• Applications are reviewed on a rolling basis; applicants should state their availability, including start and end dates, in their resume.