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Network Architect

AustinHybrid

AI Summary

Leads the design and implementation of an inter-wafer scale-up network to connect high-bandwidth wafers into a super-system for AI workloads.

About this role

What We’re Looking For:

We’re looking for an architect to lead the design and implementation of the inter-wafer scale-up network. Connecting very high bandwidth and high capacity wafers into a “super-system” will enable previously unprecedented capabilities for the AI industry.



Ideal Background:

  • Deep knowledge of networks, especially knowledge of tradeoffs and advantages of different network topologies for different workloads and applications
  • Understanding and ideally experience in implementation of network protocols
  • Understanding of AI workloads and their network design implications (eg message sizes vs latency, bandwidth, hops, etc)



Nice to Have:

  • Hands-on experience with architecture and design process of either switch or NIC chips
  • Hands-on experience designing AI networks
  • Experience in tradeoffs between different network protocols for AI applications
  • Experience in large-scale AI clusters
  • Experience in large-scale optical network fabrics, especially with issues around reliability/RAS

Skills

AI WorkloadsLarge-scale AI ClustersNetwork ArchitectureNetwork ProtocolsNetwork TopologiesNIC Chip DesignOptical Network FabricsRASReliability EngineeringSwitch Chip Design

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