Software Engineer - Host and Network IO

The role

This person will develop the full IO path implementation between distributed server nodes and custom hardware. They will interface between AI application, cluster architecture, and FPGA/ASIC teams to optimize bandwidth and latency.

What you will do

• Develop x86 & ARM software to expose next-generation hardware IO capabilities
• Govern a generic IO API with multiple internal users
• Develop control and configuration subsystems interacting with Cerebras hardware
• Drive network performance debug of large AI clusters
• Gather and analyze network statistics and packet traces to root cause bottlenecks
• Develop tools/telemetry for increasing visibility into the network and IO datapath
• Optimize cpu/mem utilization leveraging kernel bypass and zero-copy techniques
• Integrate leading edge networking technologies and protocols
• Lead cross-functional technical projects spanning multiple teams
• Foster clear and effective communication across teams and stakeholders

Required qualifications

• Master's/PhD in Computer Science or Electrical Engineering + 1 year industry experience, OR 3+ years industry experience
• Experience in large software environments
• Embedded systems, HW/SW co-design, and some driver development
• Network protocol familiarity (TCP, RoCE)

Nice to have

• network debug tools such as Wireshark, or willingness to learn
• Some network switch environment familiarity (Arista, Juniper, etc.) or willingness to learn

Benefits

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

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.