AI存储研发工程师-Data
Core
Design, develop, and maintain AI storage acceleration systems (KV Cache, Checkpoint, RL) to enhance performance, cost-efficiency, scalability, and reliability for AI computing ecosystems.
Role type
Senior IC storage engineer specializing in AI infrastructure
Builds
High-performance storage systems supporting large model inference, training, and reinforcement learning frameworks
Domain
AI infrastructure, distributed storage, high-performance computing
Deliverable
production ML models
Required skills
C/C++/Python/Go, distributed consensus protocols (Raft), NVMe/RDMA/HBM protocols, open-source storage systems (Mooncake, Redis, Ceph, RocksDB)
Preferred skills
Large model inference/training experience, high-performance computing/network/database/cloud-native background
Responsibilities
Design and develop AI storage acceleration systems; explore and engineer frontier AI computing technologies; integrate AI into R&D workflows for coding and diagnostics
