Cerebras Systems

Cerebras Systems

Network Engineer

Headquarters/Sunnyvale Office

Sponsorship not specifiedDetected 48 days ago
PythonDistributed SystemsFull-Stack DevelopmentAnsibleCI/CDPrometheusGrafanaSite Reliability EngineeringMachine LearningComplianceElectrical EngineeringTCP/IPCiscoBGP/OSPFNetwork EngineeringCommunication

About the role

  • We are looking for a Network Architect to join our Cluster Engineering Team and help shape the front-end datacenter and interconnect fabric for the current and next generations of our AI clusters.

Responsibilities

  • Design and architect front-end network fabrics for AI/ML and HPC clusters, optimizing for high resource utilization, low latency, and high-throughput communication.
  • Build proof-of-concept implementations of new network designs and features, and drive them from prototype through production rollout.
  • this role builds tools, not just runbooks.
  • Define the SLIs/SLOs that govern network reliability and drive blameless post-incident analysis.
  • Lead network debugging in large distributed-systems environments spanning multiple platforms and protocols, including deep dives into RoCEv2, PFC/DCQCN, ECMP hashing, congestion behavior, and packet-level forensics.
  • Lead cross-functional, multi-phase technical projects spanning hardware, firmware, host networking, and cluster software.
  • Collaborate with vendors and industry partners to shape network hardware and feature roadmaps.
  • Automate the deployment, configuration, and validation of network infrastructure using Python, including topology provisioning, fabric bring-up, config generation, and regression Strong programming skills are essential; this role builds tools, not just runbooks.
  • People who are serious about software make their own hardware.
  • Build a breakthrough AI platform beyond the constraints of the GPU.

Requirements

  • Ph.D. in Computer Science or Electrical Engineering with 5+ years of industry experience, or Master's in CS/EE with 10+ years of industry experience.
  • Solid experience in designing large-scale networks in datacenter and cloud environments.
  • Extensive hands-on experience debugging networking issues in large distributed systems with multiple platforms and protocols.
  • Demonstrated track record leading multi-phase, multi-team technical projects to completion.
  • proficiency in Python (and/or Go) for building network automation, validation, and tooling.
  • Comfort with config generation frameworks (Ansible, Jinja2), gNMI, and CI/CD pipelines for network infrastructure.

Nice to have

  • Experience with AI/ML or HPC cluster networking, including lossless Ethernet design, rail-optimized topologies, and collective-communication traffic patterns.

Skills

  • Deep expertise across networking platforms: Juniper, Arista, Cisco, and open-box / disaggregated NOS architectures (SONiC).
  • Familiarity with network visibility, management, and packet-capture/analysis tools.
  • Prior experience at hyperscalers or cloud service providers.
  • Track record of contributions to open-source networking projects, standards bodies, or industry conferences.
  • Why Join Cerebras
  • VXLAN, EVPN, RoCEv2, BGP, DCQCN, PFC, ECN, and streaming telemetry.
  • Members of our team tell us there are five main reasons they joined Cerebras:
  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.
  • Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us!

Benefits

  • We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

Company info

  • At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.
  • Apply today and become part of the forefront of groundbreaking advancements in AI!

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.