Cluster Gpu Jobs in San Francisco, CA

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

You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE).

Collaborate with clusters, networking, and infrastructure teams.

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

Cluster Infra owns the full lifecycle of compute clusters at Anthropic.

Manage and automate our GPU training clusters, including provisioning, bootstrapping, and lifecycle management.

We pre-trained foundation models on 4,000 AMD GPUs as a team of three, designed and brought up GB300 NVL72 clusters and designed a TOP500 supercomputer.

in GPU programming and parallel computing.

can deliver frontier inference performance on AMD GPUs.

in GPU programming and parallel computing.

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

in GPU programming and parallel computing.

We pre-trained foundation models on 4,000 AMD GPUs as a team of three, designed and brought up GB300 NVL72 clusters and designed a TOP500 supercomputer.

Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference

clusters or Kubernetes operators Strong candidates may have experience with the following: Solid full-stack JS/TS