AI Compute Cluster Engineer — Scale & Reliability

Cerebras; San Francisco (CA); On-site; CAD 209,000 - 321,000; Full time

Job summary

Cerebras Systems is seeking an AI Cluster Operations Engineer to manage and optimize our Wafer-Scale Engine compute clusters and related infrastructure. You will ensure health, performance, and availability while expanding capacity for fast-moving AI initiatives.

You will develop APIs and automation, deploy Docker-based services, monitor fleets, and collaborate across teams to deliver scalable O&M products. A strong Linux background and 6–8 years in infra are required.

Qualifications

• 6-8 years of relevant experience in managing and operating complex compute infrastructure.
• Proficient in Python and Go, with experience building operational platforms and tooling.
• Experience and expertise in distributed systems is a must.
• Deep understanding of Linux-based compute systems and CLI tools.
• Extensive knowledge of Docker containers and container orchestration platforms like Kubernetes.
• Proven ability to troubleshoot and resolve complex technical issues.
• Experience with monitoring and alerting systems.
• Willingness to participate in a 24/7 on-call rotation.

Responsibilities

• Deploy, configure, and debug container-based services using Docker.
• Build and own software solutions that power cluster operations and reliability tooling.
• Collaborate with cross-functional teams to translate operational requirements into scalable O&M products.
• Develop APIs, automation services, and integrations for fleet management and incident response.
• Manage and operate multiple advanced AI compute infrastructure clusters.
• Monitor and oversee cluster health, proactively identifying issues.
• Maximize compute capacity through optimization and resource allocation.
• Provide 24/7 monitoring and hands-on troubleshooting.
• Handle engineering escalations and collaborate with other teams to resolve complex challenges.
• Stay up-to-date with advancements in AI compute infrastructure.

Skills

Python

Go

Distributed systems

Linux

Monitoring & alerting

On-call readiness

Collaboration

Communication

Tools

Docker

Kubernetes

Job description

Cerebras Systems is seeking an AI Cluster Operations Engineer to manage and optimize our Wafer-Scale Engine compute clusters and related infrastructure. You will ensure health, performance, and availability while expanding capacity for fast-moving AI initiatives.

You will develop APIs and automation, deploy Docker-based services, monitor fleets, and collaborate across teams to deliver scalable O&M products. A strong Linux background and 6–8 years in infra are required.