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Manufacturing Bring-up Engineer L2

Cerebras

Bengaluru, INDOn-siteFullTime

About this role

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. About The Role We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. Responsibilities Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains Design and implement efficient processes to manage and track system bring-up status and progress Track and report on critical bring-up metrics to drive continuous improvement Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap Skills & Qualifications BS or MS in EE, ECE, CS or equivalent work experience 3+ years of industry experience in an operations e

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