Caching Gpu Jobs in San Francisco, CA

The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI.

the default for Anthropic engineers Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases

We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency.

abstraction) to be effective Strong candidates may also have experience with: High performance, large-scale ML systems GPU

can deliver frontier inference performance on AMD GPUs.

About the Role We build the fastest GPU compiler in the world.

in GPU programming and parallel computing.

Building performance-modeling and observability frameworks for GPU utilization and cost.

About the Role We build the fastest GPU compiler in the world.

in GPU programming and parallel computing.

in GPU programming and parallel computing.

Solve for GPU scarcity.

of contact across all infrastructure domains — compute, networking, storage, and facilities — ensuring flawless delivery and operational health of large-scale GPU

Build 3D tools that surveyors use to inspect point clouds and create precise engineering drawings Extend our point-cloud renderer and GPU

Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights, KV cache, and datasets; tune parallel