Software Engineer Intern: Multi-Cloud Traffic & AI

ByteDance; San Jose (CA); On-site; USD 51,000 - 73,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

10 paid holidays per year

Paid sick time

Job summary

ByteDance's Global Traffic Architecture team seeks interns to design, build, and operate large-scale, multi-cloud network services powering TikTok and ByteDance apps. You will work on traffic platforms, load balancing, and AI-assisted developer tools in a fast-paced environment with hands-on opportunities.

Responsibilities include implementing core traffic software, data pipelines, and performance tuning while exploring emerging technologies to improve efficiency and scalability.

Qualifications

• Enrolled in a BS program in CS/CE or related technical field.
• Hands-on experience with Python, Go, Rust, C or C++ on Linux.
• Solid understanding of TCP/IP, HTTP/HTTPS, DNS networking.
• Familiarity with AI/LLM development, prompts, RAG, or AI tools.

Responsibilities

• Design and develop core traffic software (L4/L7) for terabyte-scale data in real time.
• Build data pipelines and telemetry for traffic control.
• Develop API acceleration on a multi-cloud traffic platform.
• Troubleshoot production issues and tune performance.
• Research new technologies to improve scalability.
• Build control plane, self-service APIs, tooling, infra.
• Develop AI-powered tools to accelerate development and operations.

Skills

Python

Go

Rust

C

C++

Linux

Nginx

Envoy

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Nginx

Envoy

Job description

ByteDance's Global Traffic Architecture team seeks interns to design, build, and operate large-scale, multi-cloud network services powering TikTok and ByteDance apps. You will work on traffic platforms, load balancing, and AI-assisted developer tools in a fast-paced environment with hands-on opportunities.

Responsibilities include implementing core traffic software, data pipelines, and performance tuning while exploring emerging technologies to improve efficiency and scalability.