豆包AI大模型算力资源管理（火山方舟MaaS） - Data AML
Core
Manage the full lifecycle of GPU compute resources (planning, allocation, delivery, recycling) for ByteDance's internal ML platforms and external clients via Volcano Engine.
Role type
Senior Compute Resource Operations Manager (AI Infrastructure)
Builds
GPU central compute pool, resource scheduling systems, and efficiency dashboards
Domain
AI Infrastructure / Cloud Computing / GPU Resource Management
Deliverable
infrastructure
Required skills
GPU resource lifecycle management, complex project management, data analysis, SQL, Python, mechanism building, stakeholder coordination
Preferred skills
GPU architecture knowledge (memory, bandwidth, training/inference scenarios), cloud resource operations, capacity planning, budget management, data product development
Technologies
SQL, Python, Excel, Volcano Engine, Feishu
Responsibilities
Manage GPU resource allocation and delivery across business units; Establish metrics for resource efficiency and drive optimization; Operate the central GPU compute pool with scheduling and elasticity; Build standardized processes and dashboards for resource management; Coordinate cross-functional teams for key infrastructure projects; Analyze business demand to support resource planning and budget decisions.
