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Software Engineer Interview Questions
Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.
- 9403
- Questions
- 546
- Companies
- 11
- Topics
- 8
- Languages
Showing 391–420 of 2810 results
- AppleMediumSoftware EngineerHow would you handle an unresponsive teammate?
This question evaluates interpersonal leadership and project-management competencies—including communication, accountability, escalation judgment, stakeholder risk communication, and empathy—in a software engineering, behavioral and leadership context.
Behavioral & LeadershipTechnical Screen - AppleMediumSoftware EngineerImplement a Consistent Hashing Ring From Scratch
Implement a consistent hashing ring that maps string keys to server nodes with add, remove and lookup operations. Tests sorted-position lookup with wrap-around, deterministic hashing across processes, virtual nodes for load balance, operation complexity and how few keys move when membership changes.
Software Engineering FundamentalsTechnical Screen - AppleMediumSoftware EngineerImplement a debounce function
This problem tests your understanding of JavaScript closures, asynchronous timers, and the ability to maintain internal state across multiple function invocations.
Coding & AlgorithmsTechnical ScreenJavaScriptClosuresAsynchronous - AppleHardSoftware EngineerImplement a lazy inorder traversal iterator
This problem tests your ability to implement a binary tree iterator that performs inorder traversal using O(h) extra space, where h is the height of the tree, while maintaining an amortized time complexity of O(1) per call.
Coding & AlgorithmsTechnical ScreenTreesIteratorStack - AppleHardSoftware EngineerImplement a robust REST API method
Implement a robust REST API method evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - AppleMediumSoftware EngineerImplement a robust socket message reader
This question evaluates understanding of socket programming, stream message framing, internal buffer management, EOF and error handling, input size limits, unit testing, and time/space complexity analysis.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerImplement deep clone for complex objects
This question evaluates mastery of deep object cloning, reference and memory management, and knowledge of language runtime details such as prototypes, property descriptors, symbol-keyed and non-enumerable properties, and built-in types like Maps, Sets, Dates, RegExps, and typed arrays.
Coding & AlgorithmsTechnical Screen - AppleEasySoftware EngineerImplement flood fill using BFS and DFS
This question tests the ability to implement graph traversal algorithms (BFS and DFS) on a 2D grid, focusing on boundary conditions and state management.
Coding & AlgorithmsTechnical ScreenGraphBFSDFS - AppleMediumSoftware EngineerImprove chip performance without process advances
This question evaluates understanding of digital architecture, microarchitecture, and logic‑level techniques for improving chip performance without process advances, along with competence in performance/power/area (PPA) trade‑off analysis and arithmetic block design.
Software Engineering FundamentalsTechnical Screen - AppleMediumSoftware EngineerIntroduce yourself and align with team focus
This question evaluates a candidate's communication and leadership skills, ability to concisely summarize technical work, quantify individual contributions and impacts, and domain knowledge in diffusion models and speech/multimodal research as part of a Behavioral & Leadership assessment for a Software Engineer role.
Behavioral & LeadershipTechnical Screen - AppleHardSoftware EngineerMake tree iterators safe under concurrency
This question tests the ability to design a thread-safe iterator for a binary search tree (BST) that remains consistent even if the underlying tree structure is modified during iteration.
Software Engineering FundamentalsTechnical ScreenConcurrencyTreesIterators - AppleMediumSoftware EngineerMaximize funds with capital-gated projects
Maximize funds with capital-gated projects evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerMerge overlapping time intervals
This problem tests your ability to manipulate array-based data using sorting and linear scanning to identify and merge overlapping intervals.
Coding & AlgorithmsTechnical ScreenSortingIntervalsGreedy - AppleHardSoftware EngineerMigrate a monolithic wallet to microservices
This question evaluates a candidate's ability to design and plan a safe, compliant migration of a high-scale digital wallet from a monolithic architecture to microservices, covering service decomposition, data ownership, transactional consistency, security and key management, compliance, observability, and deployment strategies.
System DesignTechnical Screen - AppleHardSoftware EngineerMinimum Cells to Bridge a Magic Grid
Tests graph modeling and shortest-path optimization on a 2D grid with zero-weight transitions and unit-weight bridges using 0-1 BFS or Dijkstra's algorithm.
Coding & AlgorithmsTechnical ScreenGraph0-1 BFSMatrix - AppleMediumSoftware EngineerMultiply Two Sparse Matrices
This problem tests your ability to optimize matrix multiplication by leveraging data sparsity to avoid unnecessary computations and handle memory efficiently.
Coding & AlgorithmsTechnical ScreenArraysMatricesOptimization - AppleEasySoftware EngineerParse and Summarize HTTP Access Logs
Parse a strict HTTP access-log format and summarize valid requests, client errors, server errors, invalid lines, and failure percentage. The prompt tests full-field validation, precise metric denominators, status boundaries, streaming aggregation, and privacy-safe diagnostics.
Software Engineering FundamentalsTechnical Screen - AppleMediumSoftware EngineerRedesign an Existing Relational Database to Reduce Read Latency
A staff-level screen question about an existing service whose normalized relational database serves slow reads: explain how you would change the data model and read path to cut read latency. Tests diagnosis of slow reads, trade-offs between read cost, write cost and data freshness, and safe rollout on a live system.
System DesignTechnical Screen - AppleMediumSoftware EngineerReturn the First Successful Result from Parallel API Calls Under a Global Timeout
Implement a function that runs several slow, failure-prone backend API calls concurrently and returns the first successful result within a single overall timeout. It tests concurrency primitives, deadline handling, reporting when every call fails, and cleaning up calls that are still in flight, using threads, futures, or async code.
Software Engineering FundamentalsTechnical Screen - AppleMediumSoftware EngineerScale Digit-Square Convergence Requests
This question evaluates a candidate's competency in designing scalable, low-latency distributed services that combine algorithmic optimization and caching to handle massive request volumes for a numerical convergence operation.
System DesignTechnical Screen - AppleMediumSoftware EngineerSimulate a Fixed-Capacity Least-Recently-Used Cache over a Stream of Operations
A coding question that asks you to implement a fixed-capacity key-value cache with least-recently-used eviction and run it over a stream of get and put operations. It tests precise recency and eviction rules, updates to keys already in the cache, and the design of a data structure with constant-time operations.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerSolve 15 common Apple coding questions
This set evaluates algorithmic problem-solving and data-structure competence, including mastery of hash tables, linked lists, stacks, queues, heaps, graphs, sliding-window and two-pointer techniques, complexity analysis, and in-place transformations.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerSolve 15 common interview problems
This collection evaluates algorithmic problem-solving skills, mastery of fundamental data structures (arrays, strings, hash maps, stacks, queues, trees, graphs, linked lists) and the ability to reason about time and space complexity.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerSolve Digit-Square and Grid BFS Problems
This question evaluates understanding of digit-based state convergence and cycle detection alongside graph traversal and constrained shortest-path search, testing skills in number manipulation, state-space search, and BFS-style exploration.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerSolve Subset Sum And Return All Matching Subsets
This problem tests your ability to navigate the trade-off between dynamic programming and backtracking to find all unique combinations of elements that sum to a target value.
Coding & AlgorithmsTechnical ScreenBacktrackingRecursionSorting - AppleMediumSoftware EngineerSolve interval, grid-fill, and heap tasks
These combined tasks evaluate algorithmic problem-solving and data-structure design skills, specifically interval aggregation and counting over large timestamp ranges, constructive grid-filling with 4-directional connectivity constraints, and multiset operations supporting efficient retrieval and removal of minima and maxima.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerSolve mixed coding tasks from interviews
This question evaluates binary tree traversal and leaf detection, calendrical date arithmetic and palindrome checking, discrete-time edge-detection/stateful sequence processing, and implementation of comparison-based sorting; category/domain: Coding & Algorithms. It is commonly asked to assess correctness and edge-case handling (e.g.
Coding & AlgorithmsTechnical Screen - AppleEasySoftware EngineerSolve three easy algorithm problems
This multi-part prompt evaluates proficiency in fundamental algorithmic concepts including sorted array handling, single-transaction optimization in time-series data, and bracket-sequence validation, measuring understanding of array and string manipulation, common data structures, algorithmic complexity, and edge-case reasoning.
Coding & AlgorithmsTechnical Screen - AppleMediumSoftware EngineerSort and merge string lists by length
This question evaluates understanding of sorting algorithms, stability, merging strategies, and time/space complexity analysis when ordering strings by length, and is categorized under Coding & Algorithms.
Coding & AlgorithmsTechnical Screen - AppleEasySoftware EngineerStore Open-Hours Query: Weekdays, Split Shifts and Overnight Windows in Java
A progressive Java coding exercise that asks whether a store is open at a given time as its schedule grows from one daily window to selected weekdays, several windows per day, and overnight windows that cross midnight and wrap from Sunday to Monday. It tests time modeling, boundary handling, and keeping evolving code readable.
Software Engineering FundamentalsTechnical Screen
Apple