C++ distributed-systems engineer building AI-driven resource allocation for Google Cloud's Autopilot fleet management

Google Cloud is hiring a software engineer for the Autopilot cluster-management system, applying AI to optimize how memory and compute resources are allocated across applications at a scale of millions of concurrent tasks. The role requires 5 years of experience with a strong C++ focus and large-scale distributed computing system design.

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Likely format

Google's standard SWE process: recruiter screen, 1-2 technical phone screens (coding, likely C++), then an onsite loop of 4-5 rounds covering coding, systems/distributed-systems design, and Googleyness/leadership.

What this interview tests

Large-scale distributed cluster/resource management system design
C++ systems programming and performance optimization
Applying AI/data-driven techniques to infrastructure decisions (resource allocation)
Operating systems internals and memory/CPU management
End-to-end ownership from design to production launch
Debugging and monitoring for fleet-wide reliability