Host and Network IO FPGA Engineer

Cerebras Systems

$150K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of FPGA development experience or Master's/PhD in Computer/Electrical Engineering with 3 years of industry experience.
  • Strong Verilog development skills with experience in Git-based repository management.
  • High proficiency in FPGA placement, routing, timing closure, and simulation.
  • Familiarity with network protocols like TCP and RoCE, and experience with debugging tools such as Wireshark.
  • Basic understanding of network switch environments, with a capacity to learn about Arista and Juniper systems.
  • Experience in AI-augmented development environments.

Responsibilities

  • Lead the design and architecture of the full chassis-to-wafer IO system.
  • Enhance current RTL designs and implement next-gen FPGA solutions.
  • Generate production-ready bitstreams for deployment in large AI clusters.
  • Collaborate with the DV team to minimize bugs and simplify debugging processes.
  • Optimize FPGA datapaths for improved bandwidth and latency across all IO interfaces.
  • Assist the board team in executing board bring-up procedures.
  • Conduct debugging for network performance in extensive AI cluster environments.
  • Incorporate cutting-edge networking technologies and protocols into designs.
  • Manage cross-functional projects, ensuring effective integration of hardware and software components.

Benefits

  • Engagement in cutting-edge AI and networking technology development.
  • Opportunity to work on multiple generations of hardware systems.
  • Collaboration with diverse technical teams across various disciplines.
  • Exposure to leading networking technologies and hands-on FPGA work.
  • Possibility to influence future generation architecture designs.
Full Job Description
About The Role

The Host and Network IO Team develops the full IO path implementation between a distributed system of server nodes, through the cluster, down to the custom RoCE network stack implemented in Cerebras' system, and over the proprietary IOs onto the WSE. As an FPGA developer on the team, you will own the in-chassis IO subsystem consisting of i) several cluster-facing RoCE v2 network interfaces via a custom implementation of the RDMA protocol; ii) a large programmable switching fabric; and iii) Serial IO communication with the Cerebras WSE via a proprietary protocol. You will interface between AI application-level IO teams, cluster architecture teams, and embedded software teams to develop solutions that optimize bandwidth and latency while minimizing congestion, pauses, pause spreading, unfairness, etc. The scope of work spans multiple generations of hardware products from improvements to presently deployed hardware, implementation of upcoming systems, and design/architecting of future next-gen architectures.

Responsibilities
  • Lead full chassis-to-wafer IO architecture and design
  • Improve current RTL, implement next-gen FPGA design, define future IO architectures
  • Produce production-ready bitstreams for deployment into large clusters running customer inference services
  • Work with DV team to prevent bug slips and simplify debug
  • Optimize bandwidth/latency over FPGA datapath and all IO interfaces
  • Interface with board team facilitating and executing board bringup
  • Drive network performance debug of large AI clusters
  • Integrate leading edge networking technologies and protocols
  • Lead cross-functional technical projects spanning multiple teams and integrating diverse software and hardware components to deliver an improved network IO solution.
  • Foster clear and effective communication across teams and stakeholders.


Skills & Qualifications
  • 5+ years industry experience generating production FPGA solutions, OR Master's/PhD in Computer or Electrical Engineering + 3 years industry experience,
  • Proficiency in Verilog development in Git based repo
  • Highly productive with FPGA placement & routing, timing closure, simulation, debug, and other FPGA tools/workflows
  • Network protocol familiarity (TCP, RoCE) and network debug tools such as Wireshark
  • Knowledge of network switch environments or willingness to learn (Arista, Juniper, etc.).
  • AI-augmented development environment

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