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Apple interview notes, page 28 of 38

FAANG / Big Tech

Most of these Apple write-ups come from Software Engineers (212), then Machine Learning Engineers (85) and Data Scientists (32). The most reported rounds are the technical phone screen (217), the system design round (48), the product sense round (29) and the behavioral / leadership round (22).

372 interview notes · updated Oct 2026

Apple·Frontend Engineer·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round at Apple for a frontend role. Just the one question but they really wanted you to dig into it, not just give a surface-level answer.
  • Walk me through a project you're most proud of. What was your role, what problem were you solving, how did you approach it, what was the impact, and what did you take away from it?

“This sounds like a warm-up but it really isn't.”

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Apple·Software Engineer·Onsite - Coding / Algorithms

Jun 2026
Apple SWE coding round, one problem the whole time. Grid traversal with a twist, and I spent way too long second-guessing whether BFS or 0-1 BFS was the right call here.
  • Given a grid where cells are either charged, empty, or forbidden, find the minimum number of empty cells you need to activate so that a connected path of charged cells runs from the top row to the bottom row. Forbidden cells block traversal entirely. Return -1 if no path is possible.

“My first instinct was plain BFS and I started coding it before fully thinking through the cost model.”

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Apple·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Apple product sense question, pretty classic setup but it can go sideways fast if you just ramble about features without a real framework.
  • What is your favorite Apple product and why, and how would you improve it?

“I picked AirPods because I actually use them every day, which felt safer than picking something I'd have to fake enthusiasm for.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026
Apple SWE interview with a classic recursion/combinatorics problem. Pretty lean on context but the question itself kept me busy for a while.
  • Given a number n, print all combinations of positive integers from 1 to n that add up to n.

“My first instinct was to reach for dynamic programming and I wasted a few minutes going down that road before realizing this is really a backtracking problem.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026
Apple data engineer interview, one question deep into the technical side asking you to walk through the hardest problem you've faced in your career. Pretty open-ended, which sounds easy until you're actually in it.
  • Walk me through the hardest technical problem you've faced in your career. What made it difficult, how did you approach it, what options did you consider, what happened, and what did you take away from it?

“This question has so many parts that I ended up spending too long on the backstory and barely got to the alternatives I considered.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026
Interviewed at Apple, got a product analytics question about Netflix genre ratings that was deceptively open-ended. Not a lot to go on from the session itself.
  • How would you design a rating system for Netflix genres, and what metrics would you use to evaluate its effectiveness?

“I went straight into talking about average star ratings and engagement drop-off, which felt fine in the moment but I think I missed the more interesting angle around genre affinity versus individual title ratings.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026
Apple SWE interview, got asked about sorting. Pretty thin on details but here's what I remember.
  • Can you explain how the sort function works?

“Talked through comparison-based sorting, mentioned time complexity tradeoffs between quicksort and mergesort.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026
Apple SWE interview that leaned heavily on sorting fundamentals. The main question was straightforward enough but the follow-up about merging pre-sorted lists is where things got interesting and where I probably left some points on the table.
  • Given two unsorted lists of strings, return a single list sorted by ascending string length. You need to define your tie-breaking rule, analyze time and space complexity, and explain whether your sort is stable.
  • If each of the two input lists is already individually sorted by string length using the same tie-breaking rule, how would you efficiently merge them into a globally sorted list? Compare in-place versus extra-memory approaches and their complexities.

“I went with a standard sort using string length as the key and said I'd preserve relative order for ties, which makes it stable.”

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Apple·Software Engineer·Technical Phone Screen

Jun 2026
Apple coding interview, one algorithmic problem, nothing else to say really.
  • Given an array, find three elements that appear in sorted (ascending) order.

“Classic array traversal problem.”

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Apple·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Apple software engineering interview focused entirely on a system design refactor problem. The prompt was deceptively meaty for what felt like a coding round, lots of moving parts to juggle at once.
  • You have an existing Rock-Paper-Scissors tournament with three robot players. Refactor it so the number of rounds is configurable, ties are tracked, and the design is extensible for new strategies or gestures. Walk through your class and interface changes and explain how you'd keep it testable.

“This one took me a minute to even figure out where to start.”

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