Leads end-to-end delivery of server and network platform programs for AI clusters, coordinating architects, vendors, validation, deployment, and operations. Requires 8+ years of infrastructure-focused technical program management experience and strong knowledge of server architecture, networking, and Linux fleet management.
Salary not listed
On-site8+ YOETechnical Program Management
About the role
Responsibilities
Own end-to-end program execution for server systems and network equipment in Cerebras clusters, including new platforms, refreshes, and major component/configuration 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, including RFI/RFP processes, samples, escalations, and roadmap alignment.
Partner with Compute, Server Platform, and Network Architects to turn architectural decisions into qualification plans, acceptance criteria, and rollout strategies.
Lead qualification and release readiness, including lab/staging validation, regression tracking, and 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 and physical data center owners on power, cooling, space, and cabling constraints.
Requirements
B.S. or M.S. in Computer Science, Electrical Engineering, 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 data center network programs across OEMs/ODMs, switch vendors, and internal engineering teams.
Working knowledge of server architecture, including CPU/NUMA, memory bandwidth, PCIe, NICs, and storage I/O.
Networking fundamentals, including leaf-spine fabrics, switch platforms, and high-performance interconnects.
Familiarity with Linux server fleet management, including provisioning, firmware/BIOS, drivers, and field triage.
Strong multi-team program execution skills, including integrated plans, risk management, dependency tracking, and executive-level communication.
Ability to operate in ambiguity and keep parallel server and network workstreams aligned.
Nice to Have
Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure.
Compensation and Benefits
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Work in a simple, non-corporate culture that respects individual beliefs.
Access continuous learning, growth, and support.
Skills
Technical Program Managementserver architecturenetwork architecturecpu/numapcieLinuxfirmwarebiosleaf-spine networkinghigh-performance interconnectsoem/odm managementRisk Managementdependency trackingAI/MLhpc
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