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Google

Senior

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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可能的面试形态

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.

这场面试考什么

  • 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

常见提问方向

Design a resource allocation or task-scheduling system for a large compute fleet

How would you apply AI or data-driven methods to optimize infrastructure decisions

C++ and data structures/algorithms coding questions

Debugging a reliability or performance issue across a distributed fleet

Tell me about owning a feature from design through production launch

How do you validate a risky infrastructure change before full rollout

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