AI计算基础设施工程师-基础技术
Core
Design, build, and operate GPU-centric compute, network, and storage systems for large-scale model training and inference.
Role type
Senior IC AI infrastructure engineer
Builds
Kubernetes-based compute scheduling and resource management platforms
Domain
AI infrastructure / High-performance computing
Deliverable
production ML models
Required skills
Kubernetes cluster management, Linux system programming, GPU driver development, performance tuning, fault diagnosis, multi-tenancy isolation, elastic scaling
Preferred skills
LLM architecture knowledge, model parallelism strategies, storage subsystem optimization
Technologies
Kubernetes, Linux, GPU accelerators
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