Cluster Gpu Jobs in United States

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).

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs.

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

As a Software Engineer on the Cluster Deployment Automation team, you will help build the pushbutton tooling that makes large-scale cluster deployments faster

machine learning compute clusters.

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.

GPU & Cluster Infrastructure Expertise: Hands-on experience bringing up, provisioning, and validating multi-node GPU clusters (NVIDIA or

RESPONSIBILITIES: Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads

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.

on such large clusters.

Scaling and Cluster Management: Contribute to the design, deployment, and scaling of HPC nodes to ensure clusters can expand based on

Manage on premise 10,000-core classified cluster and a 5,000-core unclassified cluster to ensure peak performance.

optimization Provide support to the engineering teams who use HPC for their analysis Own the lifecycle of Vast’s HPC infrastructure, including cluster