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Cerebras SystemsCerebras SystemsSunnyvale, CA

Host and Network IO FPGA Engineer

Design and lead FPGA-based host and network IO systems spanning chassis-to-wafer communication, RoCE networking, switching fabrics, and proprietary serial IO. The role requires production FPGA experience, Verilog expertise, timing closure, and network protocol/debugging knowledge.

Salary not listed
Hybrid5+ YOEHardware Engineering

About the role

Responsibilities

  • Lead full chassis-to-wafer IO architecture and design.
  • Improve current RTL, implement next-generation FPGA designs, and define future IO architectures.
  • Produce production-ready bitstreams for deployment into large clusters running customer inference services.
  • Work with the design verification team to prevent bug slips and simplify debugging.
  • Optimize bandwidth and latency across FPGA datapaths and all IO interfaces.
  • Interface with board teams to facilitate and execute board bring-up.
  • Drive network performance debugging of large AI clusters.
  • Integrate leading-edge networking technologies and protocols.
  • Lead cross-functional technical projects spanning multiple teams and integrating software and hardware components.
  • Foster clear and effective communication across teams and stakeholders.

Requirements

  • 5+ years of industry experience generating production FPGA solutions, or a master's/PhD in Computer or Electrical Engineering plus 3 years of industry experience.
  • Proficiency in Verilog development in a Git-based repository.
  • Strong productivity with FPGA placement and routing, timing closure, simulation, debugging, and related FPGA workflows.
  • Familiarity with network protocols including TCP and RoCE.
  • Experience with network debugging tools such as Wireshark.
  • Knowledge of network switch environments such as Arista and Juniper, or willingness to learn.
  • Experience optimizing FPGA datapaths and IO interfaces for bandwidth and latency.

Compensation and Benefits

  • Work on a breakthrough AI platform and high-performance AI supercomputers.
  • Opportunities to publish and open-source cutting-edge AI research.
  • Startup vitality with job stability and a non-corporate work culture.
  • Continuous learning, growth, and support in an inclusive work environment.

Skills

fpgaverilogGitrtltiming closuresimulationwiresharktcprocenetwork switchesaristajunipernetwork debuggingbitstreamsboard bring-up
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