Infrastructure Hardware Technical Program Manager (Server And Network Systems)

• 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, field triage)
• Strong multi-team program execution skills: integrated plans, risk management, dependency tracking, and executive-level communication
• Ability to operate in ambiguity and keep parallel server and network workstreams aligned

Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure is a plus

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