AI Infrastructure Engineer Intern (Compute Efficiency & Scheduling) - 2027 Start (PhD)
San Jose
Workplace: OnsiteInternshipFunction: DevOps, Cloud & InfrastructureEducation: phdSkills: ["Creativity","Problem-solving","Curiosity"]Work on a focused internship project improving how ByteDance schedules and balances workloads across massive compute clusters. You’ll help advance the AI-driven scheduling platform and explore smarter ways to get more value from the same hardware (compute, memory, and power). Build tools that keep the global infrastructure reliable and increasingly self-managing, including AI-agent-assisted automation, while contributing to products and research at scale.
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