Low-Latency AI Network Architect

Socket.dev; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Cerebras Systems is seeking a Network Systems Architect to define the scale-out and scale-up network architecture for Cerebras platforms, including proprietary interconnects, protocols, and switching. You will translate workload patterns into measurable fabric requirements and collaborate with applications, compiler, runtime, and systems teams.

Your work focuses on low-latency scale-up networks while maintaining breadth across scale-out and customer-facing networks, deciding when standards-based

Responsibilities

• Set the multi-generation architecture and roadmap for Cerebras scale-up networks.
• Derive the required bandwidth, latency, ordering, availability, and serviceability from mappings to data-plane choices.
• Define fabric topology, protocols, and switch behavior, including routing, buffering, flow control, reliability, and fault containment.
• Decide when to use standards-based technology or merchant silicon and when a custom protocol, switch, link, or offload is justified.
• Use performance models, traffic simulation, prototypes, and lab data to test architecture choices and set acceptance criteria.
• Write architecture and interface specifications, lead design reviews, and drive cross-layer decisions through implementation, bring-up, and qualification.

Job description

Cerebras Systems is seeking a Network Systems Architect to define the scale-out and scale-up network architecture for Cerebras platforms, including proprietary interconnects, protocols, and switching. You will translate workload patterns into measurable fabric requirements and collaborate with applications, compiler, runtime, and systems teams.

Your work focuses on low-latency scale-up networks while maintaining breadth across scale-out and customer-facing networks, deciding when standards-based