FPGA Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras to deploy 750 megawatts of scale.

• 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
• Foster clear and effective communication across teams and stakeholders

• 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

• Build a breakthrough AI platform beyond the constraints of the GPU
• Publish and open source cutting-edge AI research
• Work on one of the fastest AI supercomputers in the world
• Job stability with startup vitality
• Simple, non-corporate work culture that respects individual beliefs
• Equal opportunity employer