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Google DeepMind Software Engineer Interview Questions

The questions to prepare for a Google DeepMind Software Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
CodingStart here. 22 questions · ~211 min
Grid Traversal FunctionEasy
Practice

Use BFS to find the shortest four-directional path through an obstacle grid.

RecursionQueueGraphsGoogle DeepMind
Implement Date IncrementMedium
Practice

Add days to a Gregorian date by handling leap years and calendar boundaries without date libraries.

Date FunctionsMathArraysGoogle DeepMind
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2
Execution3 questions · ~29 min
Design a Scalable ApplicationEasy

Explain how you would design a scalable application, including trade-offs, risks, stakeholder needs, and how you define success.

Trade-offsRisk AssessmentScope ManagementGoogle DeepMind
Design Large-Scale Data SystemHard

Tests system design skills for scalable data processing pipelines at DeepMind.

RoadmappingRisk AssessmentScope ManagementGoogle DeepMind
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3
Security & Infrastructure10 questions · ~96 min
Runtime Missing Mission SymbolMedium

Assesses your debugging approach for runtime symbol resolution issues.

error handlingGoogle DeepMind
Python vs JavaMedium

Assesses your understanding of language trade-offs relevant to engineering decisions.

comparisonprogramming languagesGoogle DeepMind
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4
System Design8 questions · ~77 min
Design TPU/GPU Cluster Memory and SchedulingHard

Assesses system-level performance engineering for large-scale accelerator workloads.

memory managementoptimizationGoogle DeepMind
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5
Behavioral & Leadership6 questions · ~58 min
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6
More topics1 question · ~10 min
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingGoogle DeepMind

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