Technical Lead Manager, Infrastructure Hardware (Server and Network Systems)
Lead end-to-end server and network platform programs for Cerebras AI clusters, driving NPIs, qualification, and production rollout while collaborating with OEMs, vendors, and internal teams.
- Compensation
- Not disclosed
- Location
- United States and Canada
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Hardware
- Posted
Skills
Must have
- B.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience
- 8+ years in technical leadership, systems engineering, or technical program leadership for server, network, or infrastructure platforms from concept through production
- Experience technically leading complex server and/or datacenter network programs across OEM/ODMs, switch vendors, component suppliers, and internal engineering teams
- Strong knowledge of server architecture—including CPU/NUMA, memory bandwidth, PCIe, NIC, and storage I/O—and networking fundamentals including leaf-spine fabrics, switch platforms, optics, and high-pe
- Familiarity with Linux server fleet management, including provisioning, firmware/BIOS, drivers, and field triage
- Demonstrated ability to make sound technical decisions, guide cross-functional teams, and drive issues to closure
- Strong multi-team execution skills, including integrated planning, 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
Full description
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; 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.
Cerebras works with the leading 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.
As a Technical Lead Manager, Infrastructure Hardware (Server and Network Systems) on the Cluster Architecture Team, you will provide technical leadership and drive end-to-end execution of server and network platform programs—including new product introductions (NPIs)—across Cerebras CS-3–based AI clusters. You will lead programs from requirements and technical trade-offs through vendor selection, lab bring-up, qualification, and production rollout. You will be the technical execution owner across OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations.
About This Role
This role combines technical leadership with hands-on execution. You must understand server, network, and system-level design deeply enough to lead technical reviews, make and document practical trade-offs, and unblock execution—while partnering closely with Compute, Server Platform, and Network Architects on broader architectural direction. 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 datacenter design.
Responsibilities
- Own end-to-end technical execution for server systems and network equipment in Cerebras clusters, including NPIs, platform refreshes, and major component or configuration changes.
- Drive requirements gathering and technical trade-off decisions, converting inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables.
- Represent Cluster Architecture in executive reviews, OKR cycles, and leadership or customer forums as needed.
- Build and manage integrated execution plans across vendors and internal teams, tracking dependencies, critical paths, and risks.
- Lead OEM/ODM, switch-vendor, and component-vendor engagements, including RFI/RFP activities, technical evaluations, samples, escalations, and roadmap alignment.
- Partner with Compute, Server Platform, and Network Architects to translate architectural direction into platform decisions, qualification plans, acceptance criteria, and rollout strategies.