AI存储研发工程师（KvCache方向） - 存储
Core
Design, develop, and maintain AI storage acceleration systems (KV Cache, Checkpoint, RL) to support large model inference, training, and reinforcement learning.
Role type
Senior IC storage engineer (AI infrastructure)
Builds
High-performance storage systems for AI workloads (inference, training, RL, Agents)
Domain
Cloud infrastructure + AI storage
Deliverable
production ML models
Required skills
C/C++/Python/Go, distributed consensus protocols (Raft), NVMe/RDMA/HBM, open-source storage systems (Mooncake/Redis/Ceph/Rocksdb)
Preferred skills
Large model inference/training experience, high-performance computing/network/database/cloud-native background, PhD
Technologies
SGLang, vLLM, AReal, veRL, Mooncake, Redis, Ceph, Rocksdb, NVMe, RDMA, HBM
Responsibilities
Design and develop AI storage acceleration systems; Explore and engineer AI computing ecosystem technologies; Drive AI integration into R&D processes
Seniority
Senior, hands-on IC