Software Engineer Graduate (AI Infrastructure — Compute Efficiency & Scheduling) - 2027 Start

About the job

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. Our mission is simple to say and hard to do: squeeze the most value out of every unit of computing power, at a scale very few places in the world can offer, and increasingly let AI itself help run the infrastructure. As a new grad you'll work alongside senior engineers and global partners on problems whose solutions directly improve the performance and cost of every AI service we run — with real ownership and room to grow fast. Launch your career where inspiration is infinite. Successful candidates must be able to commit to an onboarding date by the end of 2027 — please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered in the order you apply (limit applies across ByteDance and its affiliates globally). Applications are reviewed on a rolling basis; we encourage you to apply early.