Frontier Tech Cluster Gpu Jobs

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.

flow for GPUs, detects bugs early, and generates automated alerts to maintain the GPU stack's functionality and performance Create profiler and debugger

Own GPU operational readiness.

, and distributed GPU workloads.

Own GPU operational readiness.

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

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

Test all components of AI cluster including but not limited to cluster software involving kubernetes, prometheus and grafana.

Test all components of AI cluster including but not limited to cluster software involving kubernetes, prometheus and grafana.

compute — building a fast, reliable fabric today and the architecture to scale it as our cluster grows.

Demonstrated experience managing GPU clusters or large-scale distributed compute infrastructure.