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Cerebras Systems seeks a hands-on engineer to deploy, automate, and maintain Linux-based compute and storage infrastructure. The role blends Linux fundamentals with Python, Ansible, and virtualization expertise to reduce manual work and improve reliability.
You will deploy servers and storage, automate provisioning with Python/Bash, and build repeatable Ansible playbooks while collaborating with data center operations to ensure performance and availability.
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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
We are looking for a hands-on engineer to deploy, automate, troubleshoot, and maintain Linux-based compute and data storage infrastructure. The ideal candidate combines strong Linux fundamentals with Python, Ansible, shell scripting, virtualization, and storage experience. They enjoy investigating complex problems, identifying root causes, and building automation that improves reliability and reduces manual work.