Design high-performance distributed storage systems optimized for large-scale AI training workloads. Optimize data pipelines and storage I/O throughput to eliminate bottlenecks in machine learning training. Implement scalable caching strategies to accelerate data access for deep learning frameworks. Develop robust system monitoring and telemetry tools to track storage performance and reliability metrics. Architect fault-tolerant storage architectures that ensure high availability and data durability.
Job description provided by Google.
View the original posting
