Data Platform Engineer
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About the Role
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
As a Platform Engineer on the Cerebras Data Analytics team, you will design, build, and maintain a reliable, high-performance cloud data platform that enables the company’s success via data-driven insights. Your work will amplify the impact of data engineers and data scientists to address diverse needs across hardware, software, operations, and business intelligence. The ideal candidate is a proactive, independent problem solver who takes pride in delivering efficient and effective solutions.
Responsibilities
- Design, deploy, and maintain core infrastructure in AWS for data storage, processing, and reporting.
- Maintain and scale databases and data lakes that store ever-increasing volumes of data.
- Create tools, automations, and frameworks to improve developer efficiency.
- Create monitoring and alerting systems to effectively identify risks and quickly resolve issues.
- Continuously improve the reliability, scalability, and cost-effectiveness of the entire data platform.
- Collaborate cross-functionally with IT, Security, and engineering teams to securely integrate data sources and infrastructure in various locations.
Skills and Qualifications
Required
- 3+ years of professional experience in platform engineering, reliability engineering, DevOps, or an infrastructure-focused role.
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