Workplace
On-site
Employment
Full-Time
Published
Jan 9, 2026
Closes
No date supplied
The role
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE ROLE Cerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster. RESPONSIBILITIES - Automate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches. - Additional push button workflows for cluster upgrades, downgrades, and security patching with key metrics to minimize downtime on clusters. - An orchestration and scheduler system for resource allocation, job submission C placements for a multi-user environment on a cluster. - Seamless support for both on-premise and cloud mode deployment and operations. - A robust system for monitoring, detecting and handling failures for a variety of resources on the clusters (including High Availability of clusters). - Broad cluster and job monitoring and visualization capabilities, along with alerting systems. - User facing tools to monitor the status of jobs and collect metrics. - Administrator facing
Requirements
Department: Software; Team: Software