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Build the control software that keeps Google's TPU supercomputers wired together and running

This role sits in Google Cloud building software across the TPU supercomputer stack — from host-machine daemons up to network routing rules embedded in the TPUs themselves. You'd build control software for massive networked hardware fleets, monitoring/deploy/qualify tooling, and software for scale-out/scale-up of accelerators supporting data-parallel ML workloads like ring all-reduce.

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What this interview tests

  • Distributed infrastructure and networked hardware control software
  • Reliability tooling: monitor/deploy/qualify/service systems at scale
  • Accelerator interconnect and data-parallel algorithms (ring all-reduce)
  • Large-scale infrastructure or distributed systems fundamentals
  • Compute/storage/hardware architecture familiarity

Common question themes

Design a monitoring/deployment system for a large fleet of specialized machines

How would you reason about scale-out reliability for networked hardware

Explain ring all-reduce and how interconnect design affects its performance

Tell me about a distributed system or infrastructure project you built

How do you approach a bug that could be in host software or hardware routing

How candidates describe it

Real Software Engineer interview stories — retold from candidates' public write-ups, with sources.

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