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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
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- 546
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- 11
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- 8
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Showing 1681–1710 of 2810 results
- NVIDIAEasySoftware EngineerWrite SQL to sum city population by name
Assesses SQL proficiency in relational joins and aggregation by asking for a total population computed from ZIP-level data and evaluates reasoning about duplicate entity names.
Software Engineering FundamentalsTechnical Screen - Nash AIMediumSoftware EngineerDesign OOD for probabilistic Minesweeper
Design OOD for probabilistic Minesweeper 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 - Nash AIMediumSoftware EngineerDesign real-time delivery tracking with async updates
This question tests the ability to design a high-throughput, real-time location tracking system that ensures eventual consistency and correct state representation despite network latency and duplicate events.
System DesignTechnical ScreenScalabilityEvent-DrivenCaching - Nash AIMediumSoftware EngineerImplement Minesweeper click and print
Implement Minesweeper click and print 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 - Nash AIMediumSoftware EngineerImplement Minesweeper click-to-reveal expansion
This problem tests your ability to implement recursive traversal (flood-fill) on a 2D grid and manage game state transitions based on player input.
Coding & AlgorithmsTechnical ScreenDFSBFSMatrix - NetflixMediumSoftware EngineerAnalyze Overlap in Closed Intervals
Implement an algorithm to determine how many closed intervals contain each point in a given list of query coordinates. The problem evaluates interval sweep-line techniques or binary search decomposition, boundary handling, and time/space complexity.
Coding & AlgorithmsTechnical Screenbinary-searchintervalssweep-line - NetflixMediumSoftware EngineerBuild and optimize a video playlist component
Build and optimize a video playlist component 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 - NetflixEasySoftware EngineerCompute Minimum Broadcast Latencies Between Cities
Implement Dijkstra's algorithm to compute the minimum broadcast latency from a source city to all other cities in an undirected, weighted network.
Coding & AlgorithmsTechnical Screengraphdijkstrashortest-path - NetflixMediumSoftware EngineerCompute Minimum Task Completion Time
This problem tests your ability to model task dependencies as a Directed Acyclic Graph (DAG) and compute the longest path in that graph to determine the earliest completion time.
Coding & AlgorithmsTechnical ScreenGraphTopological SortDynamic Programming - NetflixMediumSoftware EngineerCount Pairs of Strings with Disjoint Character Sets
Tests bitmask representation of character sets, frequency-based pair counting, and handling edge cases like empty strings.
Coding & AlgorithmsTechnical ScreenBit ManipulationHash TableString - NetflixHardSoftware EngineerDemonstrate domain expertise and ramp-up ability
This question evaluates domain expertise and ramp-up ability by examining prior experience, learning strategies for unfamiliar domains, cross-functional collaboration, and measurable impact within a software engineering context.
Behavioral & LeadershipTechnical Screen - NetflixMediumSoftware EngineerDesign Netflix viewport deduplication
This interview question evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer for Design Netflix viewport deduplication states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign Prefix-Aware Deduplication for Homepage Content Rows
Implement prefix-aware content row deduplication where protected row prefixes cannot share items across rows, while suffixes and exempt rows only enforce row-internal uniqueness.
Software Engineering FundamentalsTechnical ScreenArraysHash TableData Manipulation - NetflixHardSoftware EngineerDesign a File Backup System
This question evaluates understanding of scalable system design, file synchronization and metadata handling, data consistency, fault tolerance, and performance trade-offs involved in designing a file backup system.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign a Job Scheduler for ML Training and Batch Inference on a Shared Cluster
Design a job scheduler for machine learning workloads such as training runs and batch inference on a shared compute cluster with GPUs. It tests requirements gathering, queueing and fairness between teams, gang placement for distributed jobs, preemption and checkpointing, and recovery from node and scheduler failures.
System DesignTechnical Screen - NetflixHardSoftware EngineerDesign a concurrent latency percentile tracker
This problem tests your ability to design a high-throughput, thread-safe data structure capable of tracking request latencies and calculating arbitrary percentiles (e.g., p99) within a sliding time window.
Software Engineering FundamentalsTechnical ScreenConcurrencyData StructuresMetrics - NetflixEasySoftware EngineerDesign a crash-resilient file system
This question evaluates understanding of durable storage and crash recovery mechanisms in file system design, including metadata consistency, durability guarantees, and operational concerns like performance and space overhead.
System DesignTechnical Screen - NetflixMediumSoftware EngineerDesign a thread-safe key-value store
This question evaluates knowledge of concurrent programming and thread-safety, including the choice of in-memory data structures for a key–value store and synchronization techniques that ensure atomic put/get/delete operations without internal corruption.
Software Engineering FundamentalsTechnical Screen - NetflixHardSoftware EngineerDesign an ads audience targeting system
This problem evaluates your ability to design a high-scale, low-latency system for filtering user profiles against complex, dynamic advertising audience segments.
System DesignTechnical ScreenScalabilityDistributed SystemsCaching - NetflixHardSoftware EngineerDesign command executor with undo
This problem tests the application of the Command design pattern and stack-based data structures to manage reversible operations in an application state.
Coding & AlgorithmsTechnical ScreenDesign PatternsStacksCommand Pattern - NetflixMediumSoftware EngineerDesign homepage viewport rendering with deduplication
This problem tests the ability to design a content-delivery service that optimizes viewport rendering through client-side requests, server-side deduplication, and efficient data retrieval patterns.
System DesignTechnical ScreenAPI DesignCachingHigh Availability - NetflixHardSoftware EngineerDesign viewport dedup for Netflix home page
Design viewport dedup for Netflix home page 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 - NetflixMediumSoftware EngineerFind longest run of identical consecutive shows
This question tests the ability to track state while iterating through an array to identify the longest contiguous sub-sequence of identical elements.
Coding & AlgorithmsTechnical ScreenArraysIterationAlgorithms - NetflixMediumSoftware EngineerFind longest unique show window
This question evaluates concepts in sliding-window algorithms, hash-based duplicate tracking, case-insensitive string handling, and the extension of batch solutions to streaming (online) inputs.
Coding & AlgorithmsTechnical Screen - NetflixMediumSoftware EngineerFind the Longest Run of One Character
Tests linear scan and two-pointer/state-tracking techniques to find the maximum number of consecutive identical characters in an ASCII string using constant auxiliary space.
Coding & AlgorithmsTechnical Screenstringstwo-pointerslinear-scan - NetflixMediumSoftware EngineerFind the Longest Substring Without Repeated Characters
Tests sliding window technique, hash map index tracking, and linear-time constraint optimization on string manipulation.
Coding & AlgorithmsTechnical ScreenSliding WindowTwo PointersHash Table - NetflixEasySoftware EngineerImplement a Key-Value Cache with Per-Entry Expiration
This problem tests the ability to design an in-memory storage system that combines fixed-capacity constraints with time-based invalidation logic.
Software Engineering FundamentalsTechnical ScreenHash MapLinked ListConcurrency - NetflixMediumSoftware EngineerImplement an in-memory key-value store with per-key TTL expiration and tests
A coding interview question that asks you to implement an in-memory key-value store whose entries expire after a per-key time-to-live, explain the design as you go, and test it. It tests expiry semantics, overwrite handling, reclaiming memory from keys that are never read again, complexity trade-offs and deterministic tests with a controllable clock.
Software Engineering FundamentalsTechnical Screen - NetflixMediumSoftware EngineerImplement weighted-eviction cache
This question evaluates understanding and practical implementation of data structures and algorithms for a weighted cache, including weighted eviction policies, use of ordered maps, and time-space complexity analysis.
Coding & AlgorithmsTechnical Screen - NetflixMediumSoftware EngineerMovie Playlist With Live Score Updates and No Repeats per Loop, Plus Thread Safety
Implement an in-memory movie playlist in which get returns the highest-scoring movie not yet served in the current loop, starting a new loop once every movie has been served, while scores can change at any time. A follow-up asks where to add locks when many threads call it concurrently.
Software Engineering FundamentalsTechnical Screen
NVIDIA
Netflix