Cluster UI Full Stack, Engineering Lead

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About this role

Cluster UI Full Stack, Engineering Lead Bengaluru, Karnataka, India; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top 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. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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. About the Role In this role, you will be building a world class UI-based large-scale cluster management portal. This portal will act as one stop for all operations and maintenance of cerebras clusters - such as cluster bringup deployment (day0/1/2), job management, health management to name a few. Cerebras AI clusters may have 1000's of Wafer-scale accelerator systems, several 1000's of high-end servers, and several 1000's of networking ports including switches. Responsibilities - Be the primary engineering face and owner

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