Multi-Cloud CDN Scheduling Intern — Platform & Traffic Optimization

ByteDance; San Jose (CA); On-site; USD 52,000 - 72,000; Part time

Benefits offered by this job

Health insurance

Wellbeing benefits

Housing allowance

Paid holidays

Job summary

ByteDance's Global Engineering CDN internship in San Jose invites Master’s students to contribute to a high-performance, global CDN platform that powers TikTok. You will explore traffic scheduling, data analytics, and multi-cloud optimization under mentorship, gaining hands-on engineering experience in a distributed system environment.

The program emphasizes practical problem solving, dashboards, and tooling development, with exposure to real-world performance and cost optimization challenges.

Qualifications

• Pursuing a Master's in Computer Science, Software Engineering, Electronic Engineering, Applied Mathematics, Statistics or a related discipline.
• Familiar with at least one programming language such as Python, Go, Java, or C/C++.
• Basic understanding of data structures, operating systems, computer networks, or databases.
• Interested in networking, traffic systems, cloud infrastructure, data analysis, or large-scale distributed systems.
• Strong learning ability, analytical thinking, and willingness to solve practical engineering problems.

Responsibilities

• Assist in the development and analysis of CDN traffic scheduling and optimization systems.
• Help build metrics, dashboards, scripts, or analysis tools for traffic distribution, cache efficiency, origin traffic, resource usage, and cost optimization.
• Participate in data‑driven analysis of CDN traffic patterns and operational efficiency.
• Support monitoring and optimization work for scheduling stability and traffic efficiency.
• Work with mentors to understand global traffic management, CDN scheduling, and multi‑cloud optimization.

Skills

Python

Go

Java

C/C++

Education

Master's in CS / Software Engineering

Job description

ByteDance's Global Engineering CDN internship in San Jose invites Master’s students to contribute to a high-performance, global CDN platform that powers TikTok. You will explore traffic scheduling, data analytics, and multi-cloud optimization under mentorship, gaining hands-on engineering experience in a distributed system environment.

The program emphasizes practical problem solving, dashboards, and tooling development, with exposure to real-world performance and cost optimization challenges.