AI/LLM Network Systems Engineer (High-Speed)

ByteDance; Seattle (WA); On-site; USD 154,000 - 301,000; Full time

Job summary

ByteDance Networking is seeking talented researchers to design, build, and operate scalable AI/LLM network infrastructures for hyperscale data centers powering apps like Douyin and TikTok. Candidates will engage in network architecture, SDN, network virtualization, and co-design of software and hardware for high availability and performance.

Successful candidates will join a team responsible for global networking infrastructure, learning marketable software development and network operation

Qualifications

• PhD in CS, CE or related technical discipline.
• Proficiency in computer network and network programming.
• Proficiency in C/C++, Python, Go or similar languages.
• Familiar with high-speed network systems including RDMA, congestion control and AI network optimization.

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.
• R&D of high-performance AI communication framework, network protocol stacks, and codesign optimization of host-network-application to improve scalability, reliability and performance.
• Build next generation AI network infrastructure supporting large scale heterogeneous network hardware with innovative and deployable solutions.

Skills

Networking & programming

C/C++

Python

Go

RDMA & AI network optimization

Education

PhD in CS/CE/Software Development

Tools

NCCL

MPI

RPC libraries

Job description

ByteDance Networking is seeking talented researchers to design, build, and operate scalable AI/LLM network infrastructures for hyperscale data centers powering apps like Douyin and TikTok. Candidates will engage in network architecture, SDN, network virtualization, and co-design of software and hardware for high availability and performance.

Successful candidates will join a team responsible for global networking infrastructure, learning marketable software development and network operation