混合云异构计算工程师（J93221）
Core
Build an industry-leading AI heterogeneous computing container platform to support efficient deployment of AIGC, intelligent computing centers, finance, and energy AI applications.
Role type
Senior IC heterogeneous computing engineer (AI infrastructure)
Builds
High-performance, high-stability container platform for AI model training and inference
Domain
Cloud computing, AI infrastructure, heterogeneous computing
Deliverable
production ML models
Required skills
Golang, Python, C++, CUDA, Kubernetes, PyTorch, distributed training, model optimization, operator development
Preferred skills
GPU architecture knowledge, FlashAttention, MoE architecture tuning, large-scale training inference experience
Technologies
Kubernetes, PyTorch, Megatron, DeepSpeed, vLLM, SGLang, CUDA, OpenCL
Responsibilities
Develop and tune operators for self-developed chips to improve model performance; optimize training and inference efficiency using SOTA principles; explore heterogeneous resource scheduling and virtualization for large-scale clusters; participate in open-source ML frameworks.
Seniority
Senior, hands-on IC