Cluster Operations Software Engineer

About the role

Cerebras Systems builds the world's largest AI chip, the Wafer-Scale Engine (WSE), which delivers training and inference speeds over 10 times faster than GPU-based cloud services. It is seeking an experienced AI Cluster Operations Engineer to manage and operate its machine learning compute clusters, working with the WSE and the systems that harness its power. The role ensures the health, performance and availability of the infrastructure, maximizes compute capacity and supports growing AI initiatives.

Key responsibilities

• Deploy, configure and debug container-based services using Docker.
• Build and own software powering cluster operations: monitoring platforms, workflow automation, operational dashboards and reliability tooling.
• Collaborate with cross-functional teams to turn operational requirements into scalable O&M products and platform capabilities.
• Develop APIs, automation services and integrations that improve operational visibility, incident response and fleet management.
• Manage and operate multiple advanced AI compute clusters, monitoring health and resolving issues proactively.
• Maximize compute capacity through optimization and efficient resource allocation.
• Provide 24/7 monitoring and support, with hands-on troubleshooting and escalation handling.
• Stay up to date with advances in AI compute infrastructure.

Required profile

• 6-8 years of experience managing and operating complex compute infrastructure, preferably in machine learning or high-performance computing.
• Deep understanding of Linux-based systems and command-line tools.
• Proven ability to troubleshoot complex issues and to own challenges to completion.
• Excellent communication, collaboration and fast-paced work skills.
• Willingness to join a 24/7 on-call rotation.
• Preferred: experience with large-scale AI clusters, cloud platforms (AWS, GCP, Azure), and networking technologies such as Ethernet, RoCE and TCP/IP.

Required skills

• Proficiency in Python and Go.
• Distributed systems experience (a must).
• Extensive knowledge of Docker and container orchestration platforms such as Kubernetes.
• Monitoring and alerting systems.