Meta · Software Engineer (University Grad)
Meta's university-grad loop is built around speed and breadth: two "Ninja" coding rounds where you're expected to solve two medium problems in ~35 minutes with correct, running code, plus a behavioral round and (for some) a lightweight design discussion. Interviewers value clean solutions delivered fast over drawn-out perfection, and there's a strong emphasis on communicating trade-offs. Team matching happens after you pass, so the loop tests general engineering strength, not one stack.
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What this interview tests
- Coding speed: two medium problems in ~35 minutes
- Core data structures (trees, graphs, hash maps, intervals)
- Correct, compilable code with edge cases on the first pass
- Communicating complexity and trade-offs concisely
- Meta values: Move Fast, Focus on Impact (behavioral)
- Lightweight, product-shaped system design
Common question themes
Back-to-back medium array/string problems under time pressure
Tree and graph traversal (BFS/DFS, level order)
Interval merging and scheduling problems
"Tell me about a time you shipped under a tight deadline"
Design a simple product feature (news feed slice, chat)
Hash-map and two-pointer problems
Modeled on a public Meta university-grad SWE posting