ByteDance is looking to solve the problem of designing, building, and operating a global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance for its hyperscale data-center networking solutions.
Requirements
- Proficiency in computer network and network programming.
- Proficiency in one or several mainstream programming languages, including C/C++, Python, Go and so on.
- Be familiar with the latest advances in the area of high-speed network systems, including RDMA, congestion control, AI network optimization and so on.
- Experience in developing high performance communication frameworks(including NCCL, MPI and RPC libraries) is a plus.
- Experience in developing software systems for AI network diagnosis and performance optimization.
- 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.
Responsibilities
- Design, implementation and deployment of high-speed network technologies to support AI/LLM applications.
- Design and development of platforms/systems for monitoring, analysis and diagnosis of large scale AI/LLM network.
- Research and development of high-performance AI communication framework, network protocol stacks, and codesign optimization of host-network-application to improve the scalability, reliability and performance of AI/LLM network.
- Follow the latest technologies from academia and industry, identify the innovative parts of the system and present in academic papers.
Other
- Currently pursuing a PhD in computer networking or a related technical discipline.
- State your availability clearly in your resume (Start date, End date).
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws.
- 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
- Interns who are not working 100% remote may also be eligible for housing allowance.
