Cerebras is hiring an FPGA engineer to own the full IO subsystem between its server cluster and its custom AI chip (WSE), from RoCE v2 network interfaces to serial IO communication.
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
- ▹Work with the DV team to prevent bug slips and simplify debug
- ▹Optimize bandwidth and latency across the FPGA datapath and IO interfaces
- ▹Work with the board team on 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
Requirements
- ▹5+ years of industry experience producing production FPGA solutions, OR Master's/PhD in Computer or Electrical Engineering plus 3 years industry experience
- ▹Proficiency in Verilog development in a Git-based repo
- ▹Strong proficiency in FPGA placement & routing, timing closure, simulation, debug and related FPGA tooling
- ▹Familiarity with network protocols (TCP, RoCE) and network debug tools such as Wireshark
- ▹Knowledge of network switch environments or willingness to learn (Arista, Juniper, etc.)
- ▹Use of AI-augmented development tools
Soft skills
clear and effective communication across teams and stakeholdersleading cross-functional technical projects
About the company
Cerebras builds the world's largest AI chip, 56 times larger than a GPU, delivering industry-leading training and inference speed; its partners include leading model labs, large enterprises and OpenAI.
Education: MSc vagy PhD számítástechnika / villamosmérnöki területen, vagy ezzel egyenértékű ipari tapasztalat
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