Cerebras · Sunnyvale, CA
Skills: Python, C#/.NET, SQL
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 https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Team The Cerebras Data Center team brings the infrastructure behind our AI systems online. We work across facility design, power and cooling, hardware, networking, supply chain, deployment, and operations to deliver reliable capacity. As our infrastructure expands, we are building the programs and repeatable processes that help teams execute across multiple sites. About the Role Cerebras is seeking a Staff Technical Program Manager to lead the data and tooling programs that support data center planning, delivery, and operational handoff. You will turn fragmented project information into trusted data, useful workflows, and timely decisions. Working with infrastructure leaders, program managers, engineering, and business systems teams, you will define the roadmap, drive implementation, and establish adoption across the organization. This role combines technical program leadership with hands-on data fluency. You will connect information across sites and functions so teams can understand dependencies, identify delivery risks, and act before milestones slip. Responsibilities - Own the data and tooling roadmap for the Data Center organization, translating stakeholder needs into prioritized requirements, milestones, and measurable…
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