ByteDance
AI Infrastructure Engineer Intern (Compute Efficiency & Scheduling) - 2027 Summer
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing an undergraduate or master’s degree in Computer Science or a related discipline.
About the job
Work on a focused project improving compute efficiency, workload scheduling, or reliability and automation for ByteDance’s large-scale infrastructure.
What you'll do
- Help improve the AI-driven scheduler’s workload placement and balancing.
- Explore ways to use compute, memory, or power more efficiently.
- Build tools for platform reliability and self-management, including AI-agent-assisted automation.
What they ask for
- Currently pursuing an undergraduate or master’s degree in Computer Science or a related discipline.
- Able to commit to a 12-week internship during Summer 2027.
- Experience coding in Go, C++, Python, Java, or C#.
Nice to have
- Intent to return to the degree program after the internship.
- Strong systems, distributed computing, or software engineering fundamentals; curiosity about large-scale or AI/ML infrastructure; exposure to Linux, containers, or Kubernetes is a plus.
Tools
Go, C++, Python, Java, C#, Linux, containers, Kubernetes
AI focus
Improve an AI-driven workload scheduler and explore AI-agent-assisted infrastructure automation.
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