Software Engineer Graduate (AI Infrastructure — Compute Efficiency & Scheduling) - 2027 Start
ByteDance, San Jose, California
The role
We are the team that decides how ByteDance's massive fleet of computers gets used — turning hundreds of large-scale clusters and millions of daily workloads (from microservices to big data to the largest AI/LLM training and inference jobs) into a system that is highly efficient, reliable, and increasingly self-managing. At the heart of this is our own intelligent scheduling platform, Godel (open-sourced to the community), together with the systems that manage compute, memory, and power across our global data centers in North America, Europe, and Asia-Pacific.