Meta software engineer interview questions
Practice high-signal coding, product system design, and behavioral questions for Meta software engineering interviews.
Practice guide: Interview content varies by role, level, team, and location. These representative prompts are based on public company guidance and general interview patterns; Meta does not endorse this guide.
6 questions, one at a time
Coding questions
Each problem has a full statement, examples, constraints, and a tested solution in Python, Java and C++.
System design questions
Turn requirements into APIs, data models, architecture choices, bottlenecks, and explicit trade-offs.
Behavioral questions
Prepare truthful evidence of decisions, ownership, collaboration, learning, and measurable results.
Tell me about the project where you had the largest impact.
Scope, personal contribution, measurable outcomes, and your understanding of why the work mattered.
Tell me about a time you moved quickly without sacrificing quality.
Pragmatic scope control, safeguards, and outcome ownership.
How the Meta interview is structured
This preparation set is aligned with Meta’s public full-loop preparation material. The example prompts are editorial practice questions; the actual loop depends on role, level, team, and location.
That shapes how you should prepare. The rounds in this guide break down as 3 coding, 1 system design, 2 behavioral, and they are not interchangeable — a coding round rewards a working solution reasoned aloud, a system design round rewards explicit trade-offs, and a behavioral round rewards a specific story with a measurable result. The fastest way to lose a round you could have passed is to prepare for all three the same way.
What the coding round checks
Each problem has a full statement, examples, constraints, and a tested solution in Python, Java and C++.
- Sliding-window reasoning, invariant maintenance, and edge-case testing.
- Level-order traversal, turning a visual description into a precise rule, and quick edge-case testing.
- Recognizing when a sliding window fails, prefix-sum reasoning, and hash-map counting.
What the system design round checks
Turn requirements into APIs, data models, architecture choices, bottlenecks, and explicit trade-offs.
- Feed generation, ranking boundaries, fan-out trade-offs, caching, and product constraints.
What the behavioral round checks
Prepare truthful evidence of decisions, ownership, collaboration, learning, and measurable results.
- Scope, personal contribution, measurable outcomes, and your understanding of why the work mattered.
- Pragmatic scope control, safeguards, and outcome ownership.
Follow-up questions to be ready for
Most candidates prepare a first answer and stop. The round is usually decided by what comes after it — these are the follow-ups the questions in this guide lead to:
- Why is it linear?
- What changes for Unicode?
- Can memory be bounded?
- Can you solve it with DFS instead?
- How would you return the left side view?
- What would the view from the top look like?
- Why does a sliding window fail with negative numbers?
- How would you return the longest such subarray?
Mistakes that cost people the Meta round
Collected from the questions in this guide. None of them is about knowing less — they are all about how an answer is delivered under time pressure:
- Checking validity by rescanning
- Mishandling duplicate characters
- No empty-case handling
- Only following right pointers
- Mixing nodes from different levels
- Not handling an empty tree
- Using a sliding window with negative values
- Forgetting to seed the map with prefix 0
Common questions
What does Meta test in a software engineer interview?
This preparation set is aligned with Meta’s public full-loop preparation material. The example prompts are editorial practice questions; the actual loop depends on role, level, team, and location.
What is in this Meta question list?
6 representative practice questions — 3 coding, 1 system design, 2 behavioral. Each one comes with what the interviewer is checking, a three-step plan for the answer, the follow-ups that usually come next, and the mistakes that cost people the round. Coding questions also carry a full problem statement, examples, constraints and tested solutions in Python, Java and C++.
Are these real Meta interview questions?
No — and treat any site claiming otherwise with suspicion. These are representative prompts based on public company guidance and general interview patterns. Interview content varies by role, level, team and location, and Meta does not endorse this guide.
What should I focus on first for Meta?
Coding speed and accuracy, Product design, Impact, Cross-functional work. Work the question types in that order rather than grinding only coding problems: the rounds that trip people up are usually the ones they did not rehearse out loud.