Mid
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.
Step into this interview
Free · a live voice mock calibrated to this exact role
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
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