Infrastructure Hardware Technical Program Manager; Server and Network Systems

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).

• 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.

• 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‑spine fabrics, switch platforms, high‑performance interconnects) to run effective technical reviews.
• Familiarity with Linux server fleet management (provisioning, firmware/BIOS, drivers,…