Infrastructure Hardware Technical Program Manager (Server and Network Systems)

<div class="content-intro"><p><span data-contrast="none">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. </span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559685":0,"335559737":240,"335559738":240,"335559739":240,"335559740":279}"> </span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. <a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. </p> <p>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.</p></div><p>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.</p> <p>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).</p> <p><strong>Responsibilities</strong></p> <ul> <li>Own end-to-end program execution for server systems and network equipment in Cerebras clusters, including new platforms, refreshes, and major component/config changes.</li> <li>Drive requirements gathering and convert inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables.</li> <li>Represent Cluster Architecture in executive reviews, OKR cycles, and leadership/customer forums as needed.</li> <li>Build and manage integrated schedules across vendors and internal teams, track dependencies, critical path, and risks.</li> <li>Manage OEM/ODM and switch/vendor engagements (RFI/RFP, samples, escalations, roadmap alignment).</li> <li>Partner with Compute / Server Platform / Network Architects to turn architectural decisions into qualification plans, acceptance criteria, and rollout strategies.</li> <li>Lead qualification and release readiness (lab/staging validation, regression tracking, go/no-go decisions).</li> <li>Own risk and change management into production, including versioning, rollout sequencing, and stakeholder communication.</li> <li>Ensure operational readiness with deployment and fleet teams and maintain alignment with rack/physical DC owners on power, cooling, space, and cabling constraints.</li> </ul> <p><strong> </strong></p> <p><strong>Skills and Qualifications</strong></p> <ul> <li>B.S. or M.S. in Computer Sci ... (truncated, view full listing at source)