ByteDance
AI Infrastructure Engineer Intern (Compute Efficiency & Scheduling) - 2027 Summer
Seattle, Washington · 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 to improve ByteDance’s AI-driven workload scheduling, compute efficiency, or infrastructure automation.
What you'll do
- Help improve workload placement and balancing in the intelligent scheduler.
- Explore ways to use compute, memory, or power more efficiently.
- Build tools for reliable, self-managing infrastructure, 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.
- Fundamentals or experience in systems, distributed computing, or software engineering; interest in large-scale or AI/ML infrastructure; exposure to Linux, containers, or Kubernetes.
Tools
Go, C++, Python, Java, C#, Linux, containers, Kubernetes
AI focus
Improve AI-driven workload scheduling and compute efficiency, and build infrastructure automation that may use AI agents.
Model-written summary · the original posting is authoritative