C

Cerebras

AI accelerator hardware replacing GPUs

FPGA Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • At least five years of industry experience generating production FPGA solutions, or a Master's or PhD in Computer Engineering or Electrical Engineering plus at least three years of industry experience.
  • Proficiency in Verilog development in a Git-based repository.
  • Productivity with FPGA placement and routing, timing closure, simulation, debugging, and other FPGA tools and workflows.
  • Familiarity with network protocols including TCP and RoCE, and network debugging tools such as Wireshark.
  • Knowledge of network switch environments such as Arista or Juniper, or willingness to learn.
  • Experience working in an AI-augmented development environment.

Responsibilities

  • Lead full chassis-to-wafer I/O architecture and design.
  • Improve current RTL, implement next-generation FPGA designs, and define future I/O 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 over the FPGA datapath and all I/O interfaces.
  • Interface with the board team 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 diverse software and hardware components to deliver an improved network I/O solution.
  • Foster clear and effective communication across teams and stakeholders.

Desired Qualifications

  • Knowledge of network switch environments such as Arista or Juniper, or willingness to learn.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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