About the job
Cerebras Systems has revolutionized the AI landscape by developing the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture allows for the unparalleled AI computational power equivalent to dozens of GPUs on a single chip, while maintaining the programming simplicity of a single device. This unique approach enables us to deliver exceptional training and inference speeds, empowering machine learning practitioners to efficiently execute large-scale ML applications without the complexity of managing numerous GPUs or TPUs.
Our esteemed clientele includes leading model laboratories, major global enterprises, and pioneering AI-focused startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aimed at deploying 750 megawatts of scale and transforming critical workloads with ultra-high-speed inference.
With our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, boasting speeds over ten times faster than GPU-based hyperscale cloud inference services. This monumental leap in speed significantly enhances the user experience of AI applications, facilitating real-time iteration and amplifying intelligence through advanced computation capabilities.
Role Overview
As a Software Automation Engineer at Cerebras Systems, you will be instrumental in designing and implementing innovative software solutions that enhance operational efficiency and streamline business processes. Your responsibilities will include developing automation frameworks, tools, and applications aimed at reducing manual tasks, boosting system reliability, and fostering scalable growth across the organization.
In this position, you will work collaboratively with cross-functional teams—including engineers, analysts, and business stakeholders—to identify workflow challenges and explore opportunities for automation. Your contributions may involve building advanced process automation systems, developing real-time monitoring and alerting functionalities, integrating disparate systems, and crafting data-driven solutions to optimize overall performance.
Your efforts will be pivotal in eliminating bottlenecks, lowering operational costs, and enabling teams to focus on innovative projects.

