混合云-云原生AI研发工程师/架构师
Core
Design hybrid cloud cloud-native AI infrastructure architecture, optimize inference systems, and develop cloud-native AI suites.
Role type
Senior IC machine-learning infrastructure engineer (cloud-native AI)
Builds
High-reliability, high-performance AI computing infrastructure
Domain
Cloud computing + AI infrastructure
Deliverable
production ML models
Required skills
Kubernetes, container orchestration, distributed systems, GPU architecture, Go, C/C++, Python, deep learning frameworks (PyTorch), inference engines (vLLM, SGLang), high-performance networking, high-performance caching
Preferred skills
Model training optimization, inference performance tuning, cloud-native AI trends
Technologies
Kubernetes, K8S, containers, GPU, PyTorch, vLLM, SGLang, Kubeflow
Responsibilities
Design hybrid cloud cloud-native AI infrastructure architecture; Optimize inference scenarios and system performance; Develop cloud-native AI suites; Research and develop next-generation AI infrastructure
Seniority
Senior, hands-on IC