大模型编排调度工程师（训练&推理方向）
Tasks
- Abstract LLM training and inference orchestration
- Build elastic scaling for services and clusters
- Collaborate on traffic and task scheduling
- Design LLM engineering architecture and toolchain
- Develop LLM training and inference platform
- Ensure SLA for training and inference services
- Implement efficient deployment patterns
- Integrate GPU resource management frameworks
- Manage and schedule multi cloud GPU resources
- Optimize resource utilization for offline mixed deployment
Perks/Benefits
Skills/Tech-stack
AI coding | AI coding tools | Algorithms | Asynchronous programming | C++ | Coding Tools | Computer Architecture | Data Structures | Distributed Systems | EP Parallelism | Elastic scaling | Expert parallelism | GPU resource scheduling | Golang | High Availability | Koordinator | Kube scheduler | Kubernetes | LLM orchestration | MOE | Microservices | Prefill Decode | Prefill Decode Separation | Python | Resource scheduling | Scalability | Service Oriented | Service-Oriented Architecture | Volcano
Education
Regions
Countries
States
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