边缘智能计算平台开发工程师
Core
Build and operate an edge intelligent computing platform focused on AI inference scenarios, providing low-latency, high-throughput heterogeneous computing power services.
Role type
Senior IC edge computing platform engineer
Builds
Edge intelligent computing platform with GPU heterogeneous resources
Domain
Edge computing + AI inference
Deliverable
production ML models
Required skills
Kubernetes (K8s) development, Golang, Python, C/C++, Linux, Docker, GPU virtualization, Device Plugin development, Scheduler customization
Preferred skills
CDN industry experience, GPU virtualization (MIG/vGPU/GPU Sharing)
Technologies
Kubernetes, Docker, Golang, Python, C/C++, Linux, Shell
Responsibilities
Design and implement compute orchestration systems for edge GPU scheduling and traffic management; Develop runtime components for node control, health monitoring, and resource reporting on heterogeneous hardware; Build and operate the edge intelligent computing platform for AI inference workloads.
