Software Engineer Intern (CDN Platform)- 2026 Start (PhD)

ByteDance • San Jose, CA

86d

About The Position

The TIGE (Traffic Infrastructure Global Engineering) team serves as the world's premier edge cloud computing and CDN service, offering enterprise users with Content Delivery Network, Edge AI, Edge Security, Edge Computing services, and Traffic Platform services. Our team is responsible for developing and managing edge cloud, CDN and traffic technologies to support billion users and ensure performance, compliance, security and cost efficiency. In line with our commitment to excellence, we are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. 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).

Requirements

• Currently pursuing a PhD in Computer Science, Engineering, or a related field.
• Strong understanding of CDN technologies and traffic management.
• Experience with data analysis and simulation tools.
• Ability to work collaboratively in a team environment.
• Excellent problem-solving skills and attention to detail.

Nice To Haves

• Familiarity with edge computing and cloud services.
• Experience with algorithm design and implementation.
• Knowledge of cost modeling and optimization strategies.

Responsibilities

• Study the FusionCDN system's traffic scheduling mechanisms, IPT cost model, and operational constraints.
• Conduct a literature review on CDN-related optimization strategies and work with the team to define project objectives, constraints, and key performance indicators.
• Identify challenges like high costs during peak periods and devise strategies to maximize free bandwidth.
• Gather historical traffic data to identify peak periods and patterns.
• Build a simplified cost model for IPT charges.
• Analyze traffic characteristics and run simulations on different traffic distribution scenarios.
• Design and implement an algorithm to redistribute traffic during peak periods.
• Test and validate the solution in a controlled environment, evaluating its cost-savings, service quality, and scalability.
• Compare IPT costs before and after implementation and assess metrics like latency and throughput.

Benefits

• Hands-on learning experience.
• Collaboration with industry experts.
• Opportunities for community-building and development events.

What This Job Offers

• Career Level: Intern
• Industry: Publishing Industries
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees