Software Development Engineer Graduate (AI/LLM Network – High Speed Network) – 2026 Start (PhD)

Responsibilities

ByteDance 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 TikTok which serve hundreds of millions of users around the globe.

ByteDance 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 this future position in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Bytedance.

Successful candidates must be able to commit between January 5,2026 to December 14, 2026

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

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates’ jobs globally.

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.
• Building next generation AI network infrastructure supporting large scale heterogeneous network hardware with innovative and deployable solutions.

Qualifications

Minimum Qualifications

• 2026 PhD graduate with a background in computer science, electronic engineering, network engineering or related fields.
• 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.

Preferred Qualifications

• 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 is a plus.

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