Technical Lead Manager, Infrastructure Hardware (Server and Network Systems)

The role

You will provide technical leadership and drive end-to-end execution of server and network platform programs across Cerebras CS-3-based AI clusters. This includes leading programs from requirements and technical trade-offs through vendor selection, lab bring-up, qualification, and production rollout.

What you will do

• Own end-to-end technical execution for server systems and network equipment in Cerebras clusters.
• Drive requirements gathering and technical trade-off decisions.
• Represent Cluster Architecture in executive reviews, OKR cycles, and leadership or customer forums.
• Build and manage integrated execution plans across vendors and internal teams.
• Lead OEM/ODM, switch-vendor, and component-vendor engagements.
• Partner with Compute, Server Platform, and Network Architects to translate architectural direction into platform decisions.
• Lead NPI execution, qualification, and release readiness.
• Step into execution gaps as needed to drive technical issues to closure.
• Own risk and change management into production.
• Ensure operational readiness with deployment and fleet teams.

Required qualifications

• 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.
• Networking fundamentals including leaf-spine fabrics, switch platforms, optics, and high-performance interconnects.
• 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

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.
• Job stability with startup vitality.
• Simple, non-corporate work culture that respects individual beliefs.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.