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Network Systems Architect

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA)Full-timePosted 1mo ago

About the role

Define the scale-out and scale-up network architecture for Cerebras platforms, including proprietary accelerator interconnects, protocols, and switching; collaborate with multiple teams to translate workload and system behavior into fabric requirements and architecture decisions.

Responsibilities

  • Set the multi-generation architecture and roadmap for Cerebras scale-up networks and their interfaces to scale-out and customer-facing networks.
  • Work with application, compiler, runtime, and communication-library teams to understand mapping and communication choices, then derive the required bandwidth, latency, ordering, availability, and serviceability.
  • Define fabric topology, protocols, and switch behavior, including routing, buffering, flow control, reliability, and fault containment. Connect data-plane choices to end-to-end system behavior.
  • 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.

Qualifications

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • Typically 12 or more years of relevant industry experience, including principal-level technical ownership of a major networking, switching, accelerator, or HPC system from architecture into implementation or deployment.
  • Deep expertise in low-latency or proprietary interconnects, fabric protocols, switch architecture, or a closely related area, with enough data-plane depth to reason about switch pipelines, buffering, routing, flow or congestion control, and reliability.
  • Experience deriving network requirements from incomplete workload and system information, with the range to make decisions across software, accelerator I/O, topology, and physical constraints.
  • Working knowledge of Ethernet, IP, and RDMA, plus conceptual familiarity with BGP and EVPN and the tradeoffs between routed networks and simpler low-latency scale-up designs.
  • Architectural judgment grounded in prior implementation, modeling, silicon, lab, bring-up, or debugging work.
  • A record of making clear technical decisions and influencing engineering leaders, implementation teams, suppliers, and customers.

Skills

Required:Network architectureLow-latency interconnectsStandards-based vs custom protocolsPerformance modeling and simulationCross-functional collaborationCommunication of architecture specifications
Last updated Sep 27, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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