
Apple Software Engineer candidates report recruiter and manager conversations followed by team-specific technical, coding, design, and behavioral interviews. Prepare to explain your projects and reasoning aloud.
$227K
Avg. Base Comp
$272K
Avg. Total Comp
5-8 rounds
Typical Rounds
3-4 weeks
Process Length
Apple Software Engineer interviews reported here vary considerably by team, but several accounts begin with a recruiter or hiring-manager conversation about background, relevant work, and interest in the role. Candidates then describe live coding, technical discussion, and behavioral or project-focused conversations; some reported a panel or virtual loop with multiple interviewers.
For coding, practice narrating the path to a correct solution, then discussing complexity and follow-up tradeoffs. Reported prompts ranged from a first-unique-character string exercise and longest increasing subsequence to reversing an array and dependency-ordering problems. Clear explanation during implementation was a recurring part of these accounts, not just producing code.
Technical depth appears especially team dependent. Candidates reported a URL-shortener system-design discussion, a database-join question, and front-end topics including HTML, CSS, and accessibility. Use the role and team context you receive to prioritize the relevant domain rather than assuming every topic will appear. Timed assessments may also reward getting a correct solution working before attempting further optimization.
Prepare detailed stories about projects, difficult decisions, teamwork, and solving a complex problem. Several candidates said interviewers revisited resume details and asked follow-up questions. The evidence is broad but team-specific, so the exact mix of coding, design, and platform knowledge may differ.
Synthesized from 113 candidate reports by our editorial team.
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Featured question at Apple
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Random SQL Sample | |
| Prime to N | |
| Upsell Transactions | |
| Find the Missing Number | |
| Recurring Character | |
| Retailer Data Warehouse | |
| Equivalent Index | |
| Twenty Variants | |
| Completed Shipments | |
| Detecting ECG Tachycardia Runs | |
| Size of Joins | |
| The Brackets Problem | |
| Paired Products | |
| Google Maps Improvement | |
| Nearest Common Ancestor | |
| Four Person Elevator | |
| Groups of Anagrams | |
| Cyclic Detection | |
| Exam Scores | |
| Radix Addition | |
| Cumulative Sales Since Last Restocking | |
| Hurdles In Data Projects | |
| Swapping Nodes | |
| Swiping App Design | |
| Real-Time Hashtag Partitioning | |
| Transformer Encoder Layer | |
| Matrix Rotation | |
| RAG Strict Source Control | |
| Walking Robot |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an early phone or video conversation about their background, past work, interests, and team fit. Some accounts also describe a hiring-manager discussion that goes deeper into resume details or project decisions.
Candidates report shared-editor coding and, in one case, a timed HackerRank assessment. Directly reported prompts include first unique character, longest increasing subsequence, reversing an array, graph traversal, and dependency ordering; explain correctness and complexity aloud.
Technical interviews may move beyond algorithms. Candidates report system design, debugging, SQL and API questions, and role-specific discussions such as Swift or UIKit, C++ systems concepts, embedded fundamentals, or ML topics.
Candidates report panel-style or back-to-back virtual interviews that mix technical questions with behavioral discussion. Be ready to walk through projects, teamwork, difficult decisions, and a complex problem you solved, with follow-up questions possible.