AI Network Systems Engineer for High-Speed Data Centers

ByteDance; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Job summary

ByteDance Networking seeks talented individuals to join the team working on high-speed network technologies to support AI/LLM applications. You will design, implement, and deploy networks for hyperscale data-center environments.

Successful candidates should have a PhD in a related field and experience in computer networks, network programming, and languages such as C/C++, Python, and Go. Onboarding by year-end is required.

Qualifications

• PhD in Software Development, CS, CE or a related technical discipline.
• Proficiency in computer network and network programming.
• Proficiency in one or several mainstream programming languages, including C/C++, Python, Go.
• Be familiar with the latest advances in high-speed network systems including RDMA, congestion control, 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.
• Research and development of high-performance AI communication framework, network protocol stacks, and co-design optimization of host-network-application.
• Building next generation AI network infrastructure supporting large scale heterogeneous network hardware.

Skills

Network programming

C/C++

Python

Go

RDMA

AI network optimization

Education

PhD in Computer Science / Software Development / Computer Engineering

Tools

NCCL

MPI

RPC libraries

Job description

ByteDance Networking seeks talented individuals to join the team working on high-speed network technologies to support AI/LLM applications. You will design, implement, and deploy networks for hyperscale data-center environments.

Successful candidates should have a PhD in a related field and experience in computer networks, network programming, and languages such as C/C++, Python, and Go. Onboarding by year-end is required.