AI​/LLM Network Research Intern; Speed Network PhD) PhD Intern - San Jose

Join us as we work together to inspire creativity and enrich life around the globe.

Location:

San Jose

Team:

Technology

Employment Type:

Intern

Job Code:

A198183

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Byte Dance Networking brings together innovative ideas and technologies from network architecture, software defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as Douyin and Tik Tok which serve hundreds of millions of users around the globe.

Byte Dance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable software development and/or network operation experiences in data center networking at massive scale.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands‑on learning, enriching community‑building and professional development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

• Design, optimization, implementation and deployment of high-performance transport protocols to support AI/LLM applications.
• Design, optimization, implementation and deployment of congestion control algorithms to support AI/LLM applications..
• Research and development of high-performance AI communication framework, network protocol stacks, and co‑design optimization of host‑network‑application to improve the scalability, reliability and performance of AI/LLM networks.
• Follow the latest technologies from academia and industry, identify the innovative parts of the system and present in academic papers.

• Minimum Qualifications:
• Currently pursuing a PhD in computer networking or a related technical discipline.
• Experience with at least one of the following areas: familiarity with network protocols like TCP and RoCEv2, experience in network programming based on Socket and verbs APIs or familiarity with Data Center congestion control algorithms, understand their pros and cons;
• Knowledge of scale‑up protocols like PCIe, NVLink, UALink, and their differences with scale‑out network protocols;
• Experience in the area of high-speed network systems, including RDMA, congestion control, AI network optimization and so on;
• Proficiency in one or several mainstream programming languages, including C/C++, Python, Go and so on;
• Have some knowledge of GPU architecture;
• Preferred Qualifications:
• Be familiar with AI training/inference systems and software-hardware co‑design.
• Having top tier networking conference publications such as NSDI,SIGCOMM,OSDI,SOSP etc.
• Experience in developing high performance communication frameworks (including NCCL, MPI and RPC libraries) is a plus.

Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.

Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and…