Network Systems Architect

Cerebras Systems

$160K — $190K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in network architecture or systems engineering
  • Expertise in low-latency network design and implementation
  • Proficiency in defining protocols and networking topologies
  • Strong background in application and systems interaction
  • Ability to derive performance metrics from workload analysis

Responsibilities

  • Define the architecture and roadmap for Cerebras scale-up networks
  • Collaborate with cross-functional teams to derive bandwidth and latency requirements
  • Establish fabric topology, protocols, and switch behaviors
  • Evaluate the suitability of standards-based versus custom technologies
  • Test architecture choices using performance models and prototypes
  • Write specifications and lead design reviews throughout the development process

Benefits

  • Flexible work environment
  • Opportunity to pioneer cutting-edge technology
  • Access to a collaborative and innovative team
  • Involvement in high-impact projects
  • Professional development opportunities
Full Job Description
About the Role

As a Network Systems Architect, you will define the scale out, and particularly scale-up network architecture for current and future Cerebras platforms, including proprietary accelerator interconnects, protocols, and switching. Requirements will not arrive as a finished bandwidth and latency specification. Working with application, compiler, runtime, and systems teams, you will study communication patterns, workload partitioning and placement, data and memory movement, synchronization, locality, and failure behavior, then translate them into measurable fabric requirements.

Your primary focus is low-latency scale-up and system fabrics, with enough breadth across scale-out and customer-facing networks to define clean boundaries. You will decide when standards-based or routable technology is right and when a simpler custom protocol or switching design produces a better system result.

Hands-on here means that architectural judgment is grounded in prior low-level implementation, modeling, bring-up, or debugging. You will write specifications, guide models and prototypes, make technical decisions, and stay engaged through implementation and qualification.

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.

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