Read real Apple interview experiences from candidates who interviewed for SWE roles. Learn from their journey, questions asked, and tips for success.
| Round | Duration | Focus |
|---|
| Phone Screen | 45-60 min | 1-2 coding problems |
| Technical Phone 2 | 45-60 min | DSA + system design |
| Onsite (4-5 rounds) | 5-6 hours | Coding, System Design, Behavioral |
| Team Matching | 30-45 min | Team fit discussion |
Role: Software Engineer (iOS)
Location: Cupertino
Date: October 2024
Experience: Final year student
Questions Asked:
- Coding: Find longest substring without repeating characters
- Follow-up: Optimize for specific character set (lowercase only)
My Approach:
- Started with brute force O(n²)
- Optimized using sliding window with hash map
- Discussed edge cases: empty string, all same characters
Feedback: Interviewer liked my systematic approach and edge case handling.
Questions Asked:
- Coding: Design and implement LRU Cache
- Discussion: Memory management in iOS
Key Discussion Points:
- Explained doubly linked list + hash map approach
- Discussed ARC (Automatic Reference Counting)
- Talked about memory leaks and how to avoid them
Round 1 - Coding (45 min):
- Binary Tree Maximum Path Sum
- Solved using DFS with global max tracking
- Discussed time/space complexity
Round 2 - Coding (45 min):
- Merge K Sorted Lists
- Implemented using min-heap
- Follow-up: What if lists don’t fit in memory?
Round 3 - System Design (60 min):
- Design iMessage
- Discussed: E2E encryption, message sync, read receipts
- Focus on privacy and security (Apple values this!)
Round 4 - Behavioral (45 min):
- Tell me about a time you disagreed with a decision
- Project where you showed attention to detail
- Why Apple?
Round 5 - Hiring Manager (45 min):
- Career goals discussion
- Team preferences
- Questions about Apple’s culture
- Privacy matters: Apple cares deeply about user privacy - mention it in system design
- Attention to detail: Clean code, proper variable names, edge cases
- Know iOS basics: Even for backend, some iOS knowledge helps
- Be genuine: Apple wants people who genuinely care about their mission
Role: ML Engineer
Location: Austin
Date: December 2024
Experience: 3 years
Coding Problem: Implement K-Nearest Neighbors from scratch
from collections import Counter
def knn_classify(points, target, k):
for point, label in points:
dist = sum((a - b) ** 2 for a, b in zip(point, target)) ** 0.5
distances.append((dist, label))
k_nearest = heapq.nsmallest(k, distances)
labels = [label for _, label in k_nearest]
return Counter(labels).most_common(1)[0][0]
ML Round 1:
- Design recommendation system for App Store
- Discussed: Collaborative filtering, content-based, hybrid approaches
- Focus on cold start problem
ML Round 2:
- Explain gradient descent and backpropagation
- Implement simple neural network forward pass
Coding Round:
- Top K Frequent Elements
- Used heap-based solution
System Design:
- Design Siri’s voice recognition pipeline
- Discussed: On-device vs cloud processing (privacy!)
- Latency requirements and optimization
Role: Backend Engineer
Location: Cupertino
Date: August 2024
Experience: 2 years
Phone Screen: Passed (Two Sum, Valid Parentheses)
Onsite Issue:
- System Design round - Design Apple Pay
- I focused too much on the payment flow
- Didn’t discuss security, fraud detection, tokenization
- Interviewer expected more depth on security aspects
- Security is paramount: For any Apple system design, security is #1
- Know the domain: Research Apple’s approach before interviews
- Ask clarifying questions: I jumped into solution too quickly
- Practice Apple-specific problems: Their problems often have Apple context
Role: Software Engineering Intern
Location: Cupertino
Date: March 2024
University: Stanford
Round 1 - Coding (45 min):
- Find all anagrams in a string
- Used sliding window with frequency map
Round 2 - Coding (45 min):
- Clone Graph
- Discussed BFS vs DFS approach
Behavioral Questions:
- Why Apple over other companies?
- Time you learned something quickly
- How do you handle feedback?
- Showed genuine interest in Apple products
- Asked thoughtful questions about intern projects
- Demonstrated curiosity about iOS development
- LRU Cache
- Binary Tree problems
- Longest Substring Without Repeating Characters
- Merge K Sorted Lists
- Valid Parentheses
- Two Sum variants
- Design iMessage
- Design Apple Maps
- Design App Store
- Design Apple Pay
- Design Siri
- Why Apple?
- Tell me about attention to detail
- How do you handle ambiguity?
- Conflict with team member?
- Time you showed initiative?
Technical
- Master medium-hard LeetCode
- Focus on clean code
- Handle all edge cases
- Know iOS/macOS basics
System Design
- Privacy first mindset
- Security considerations
- On-device vs cloud trade-offs
- Apple ecosystem integration
Behavioral
- Research Apple’s values
- Show attention to detail
- Genuine interest in products
- Ask thoughtful questions
Good luck with your Apple interview! Focus on clean code, privacy awareness, and genuine passion for the products.
Last updated: February 2026