Research Intern (SDN Traffic Intelligence & Control) - 2027 Start (PhD)

SDN team builds cross-layer intelligence that enables hyper-scale datacenter interconnection. The team is responsible for developing network traffic control and bandwidth management systems, network emulation and verification models and tools that empower highly available, secure and scalable datacenter networks and global backbone network infrastructure.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.

Responsibilities:

• Engage in research and development efforts on Network Verification platforms (encompassing emulation, Control Plane Verification, and Data Plane Verification) to support network operators and architects in designing, operating, maintaining, and troubleshooting ByteDance's large-scale data center networks.
• Conduct development and research work on Network Traffic Engineering platforms to optimize global traffic control and network bandwidth management.Minimum Qualifications:
• Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
• Proficiency in using one or several mainstream programming languages Go,C++, Python, has the ability to develop distributed software.
• Quick learning and adaptability; perseverance and spirit of studying technical details; good at communication and exchange

Preferred Qualifications:

• Demonstrated networking research experience from previous internship, work experience or publications.
• Research area related optimization, network traffic engineering or network verification.
• High levels of creativity and quick problem-solving capabilities