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Cluster Operations Software Engineer

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA), Hybrid (Toronto, CAN), Hybrid (Bengaluru, IND)Full-timePosted 2mo ago

About the role

AI Cluster Operations Engineer to manage and operate large-scale machine learning compute clusters (Wafer-Scale Engine) with focus on health, performance, and availability of infrastructure, containerized services, and automation across global AI infrastructure.

Responsibilities

  • Deploy, configure, and debug container-based services using Docker.
  • Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling.
  • Collaborate with cross-functional teams to translate 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 across global AI infrastructure.
  • Manage and operate multiple advanced AI compute infrastructure clusters.
  • Monitor and oversee cluster health, proactively identifying and resolving potential issues.
  • Maximize compute capacity through optimization and efficient resource allocation.
  • Provide 24/7 monitoring and support, leveraging automated tools and performing hands-on troubleshooting as needed.
  • Handle engineering escalations and collaborate with other teams to resolve complex technical challenges.
  • Stay up-to-date with the latest advancements in AI compute infrastructure and related technologies.

Qualifications

  • 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
  • Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments.
  • Experience and Expertise in distributed systems is a must.
  • Deep understanding of Linux-based compute systems and command-line tools.
  • Extensive knowledge of Docker containers and container orchestration platforms like k8s.
  • Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner.
  • Experience with monitoring and alerting systems.
  • Should have a proven track record to own and drive challenges to completion.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a fast-paced environment.
  • Willingness to participate in a 24/7 on-call rotation.

Skills

Required:Compute infrastructure managementPythonGoDistributed systemsLinuxDocker/KubernetesMonitoring/AlertingOn-call / 24/7 support
Last updated Aug 30, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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