opengreenhousedatapowerventures
Infrastructure Hardware Technical Program Manager (Server and Network Systems)
Cerebras Systems
LocationSunnyvale CA or Toronto Canada, US and Canada Offices
Last observed2026-06-13 05:25:15.948328
Job iddatapowerventures-cerebras-systems:greenhouse:7636808003
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. As an Infrastructure Hardware Technical Program Manager (Server and Network Systems) on the Cluster Architecture Team, you will drive end-to-end delivery of server and network platform programs across Cerebras CS-3–based AI clusters — from requirements and vendor selection through lab bring-up, qualification, and production rollout. You will be the execution owner for multi-team programs spanning OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations. This role is intentionally technical: you must understand server, network, and system-level trade-offs well enough to run effective technical reviews, keep programs grounded in real constraints, and maintain a crisp decision trail - while partnering closely with the Compute / Server / Network Platform Architects for detailed technical direction and sign-off. You will also build shared understanding with our rack/elevations and physical datacenter design partners so that server and network changes land smoothly in real deployments (without owning physical DC design). Responsibilities Own end-to-end program execution for server systems and network equipment in Cerebras clusters, including new platforms, refreshes, and major component/config changes. Drive requirements gathering and convert inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables. Represent Cluster Architecture in executive reviews, OKR cycles, and leadership/customer forums as needed. Build and manage integrated schedules across vendors and internal teams, track dependencies, critical path, and risks. Manage OEM/ODM and switch/vendor engagements (RFI/RFP, samples, escalations, roadmap alignment). Partner with Compute / Server Platform / Network Architects to turn architectural decisions into qualification plans, acceptance criteria, and rollout strategies. Lead qualification and release readiness (lab/staging validation, regression tracking, go/no-go decisions). Own risk and change management into production, including versioning, rollout sequencing, and stakeholder communication. Ensure operational readiness with deployment and fleet teams and maintain alignment with rack/physical DC owners on power, cooling, space, and cabling constraints. Skills and Qualifications B.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience. 8+ years in Technical Program Management (or similar delivery leadership) for server, network, or infrastructure platforms from concept through production. Experience coordinating complex server and/or datacenter network programs across OEM/ODMs, switch vendors, and internal engineering teams. Working knowledge of server architecture (CPU/NUMA, memory bandwidth, PCIe, NIC and storage IO) and enough networking fundamentals (leaf-sp
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