大模型训练存储系统专家 - Seed Model
Core
Design and develop machine learning system storage components to optimize I/O performance and training efficiency for LLM, CV, and Speech scenarios.
Role type
Senior IC machine learning storage systems engineer
Builds
Data loading modules and model state persistence systems for large-scale model training
Domain
AI/ML infrastructure, distributed systems, cloud-native storage
Deliverable
production ML models
Required skills
C++, Go, Python, Linux, Kubernetes, PV/CSI, distributed systems design, data scheduling
Preferred skills
PyTorch, Megatron-LM, Fuse user-space filesystems, Alluxio, Fluid, OS kernel, RDMA, OSDI/SOSP/FAST publications
Responsibilities
Design and implement file systems using memory, SSD, HDD, and cloud object storage; manage and monitor storage systems in Kubernetes; orchestrate data scheduling across multi-datacenter and multi-cloud environments
Seniority
Senior, hands-on IC