ashby
Cluster Operations Software Engineer
Cerebras Systems
Sunnyvale, USA
Full-time
Senior · 6+ years experience
Hybrid
Discovered 3 weeks ago
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The Role
We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.
You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success.
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.
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