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Michelin Software Engineer Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 13 questions · ~110 min
Validate Bracket StringEasy
Practice

Use a stack to verify whether a string of brackets is properly matched and nested.

Hash TablesStringsTwo PointersMichelin
Maintainable Scalable CodeMedium

Tests your software design practices for long-term maintainability and scalability.

code qualitymaintainabilityscalabilityMichelin
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2
Execution7 questions · ~59 min
Root Cause Analysis with DataMedium

Tests your data-driven troubleshooting and root cause analysis skills for production issues.

data-drivenroot cause analysisProblem SolvingMichelin
Optimizing High-Volume Data FlowsMedium

Tests your approach to performance optimization and data pipeline design in a manufacturing context.

process improvementmanufacturingoptimizationMichelin
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3
System Design3 questions · ~25 min
Formulating for Tire PerformanceHard

Evaluates your ability to reason about tire-compounding tradeoffs from technical inputs.

product designperformance optimizationMichelin
Product Design ConsiderationsHard

Assesses your product thinking and how you translate requirements into design constraints.

product designMichelin
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4
Behavioral & Leadership25 questions · ~212 min
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5
More topics2 questions · ~17 min
Distributed Data ConsistencyMedium

Tests database design skills and strategies for consistency in distributed systems.

distributed systemsdatabase designdata consistencyMichelin
Analyze Complex Data for StakeholdersHard

Assesses your data analysis skills and your ability to communicate recommendations to stakeholders.

Data Analysisstakeholder communicationMichelin

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
Monthly Retention Cohort AnalysisHard
Practice
Practice drill

Build monthly signup cohorts with CTEs and joins to calculate month 0-2 retention for a self-serve product.

Data Analysisuser retentionCohort AnalysisRed VenturesBILLOpenAI
Flag Suspicious Driver Signup ClustersHard
Practice
Practice drill

Use CTEs, joins, aggregations, and CASE logic to flag Lyft driver accounts with suspicious early activity patterns.

fraud detectionData AnalysisRisk ManagementLyft
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.