异构云服务器高级技术专家-计算
Core
Design, develop, and optimize heterogeneous cloud server architecture and performance for AI workloads, managing the full stack from hardware selection to system software stability.
Role type
Senior IC heterogeneous cloud infrastructure engineer
Builds
Heterogeneous cloud servers (GPU/NPU/CPU/RDMA) and unified resource scheduling systems
Domain
Cloud infrastructure / AI computing
Deliverable
production ML models
Required skills
C++/Python/Go, Linux Kernel, GPU/NPU/CPU hardware architecture, RDMA networking, system debugging, stability monitoring, resource scheduling algorithms
Preferred skills
CUDA/compilers, distributed computing, Kubernetes, virtualization (QEMU/KVM)
Technologies
Linux Kernel, CUDA, Kubernetes, QEMU, KVM, RDMA
Responsibilities
Design heterogeneous server architecture aligned with AI business needs; Optimize server performance via hardware/software analysis; Lead stability architecture and monitoring systems; Design unified resource scheduling strategies for internal and external clients
Seniority
Senior, hands-on IC
