Network Software Development Engineer Intern(Network Observation) - 2027 Summer

About the Team
ByteDance Networking is responsible for designing, building, and operating a global, intelligent network infrastructure that meets the highest standards of availability, scalability, and performance. Within this organization, the Network Observability R&D Team plays a pivotal role. By leveraging advanced network technologies, the team monitors the status of data center networks in real-time, quickly detects and locates network faults, and improves network availability and efficiency, thereby building an industry-leading data center autopilot system.
Join us to collectively shape network innovation. You will participate in the development of observation systems that support ByteDance's global platform. In doing so, you will gain practical experience in large-scale software development and network operations, as these systems underpin some of the world's most widely used services.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Responsibilities:

• Develop and improve datacenter network monitoring services, and optimize network data collection, processing and visualization tools.
• Create network alert systems using trained learning algorithms to provide real-time and accurate anomaly detection and fault location.
• Collaborate with network engineers to develop an automated network fault diagnosis system based on LLM capabilities, and provide troubleshooting and analysis services for enterprises.
• Develop a network data platform based on network metadata, providing metrics that accurately reflect the status and trends of the network in real-time.

Minimum Qualifications:

• Currently pursuing an Undergraduate/ Master's in Computer Science, Computer Engineering, or other related fields
• Possesses a solid understanding of algorithms and data structures; proficient in at least one programming language, including but not limited to C, C++, Python, or Go
• Have some basic understanding of network protocols and TCP/IP protocol stack