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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 961–990 of 5874 results

  • Applied IntuitionEasySoftware Engineer
    Evaluate variables in simple arithmetic DSL

    This question evaluates implementation skills in parsing and evaluating a small arithmetic DSL, covering variable assignment parsing, symbol resolution, and evaluation order; it falls under the Coding & Algorithms category and emphasizes practical application and engineering of a correct evaluator rather than abstract theory.

    Coding & AlgorithmsTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Explain motivation and background

    This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Explain motivation and background states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    Behavioral & LeadershipTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Explain potential reason for PIP risk

    This question evaluates a candidate's self-assessment, accountability, communication, and early risk-identification competencies in the context of individual performance and team dynamics for a Software Engineer role within the Behavioral & Leadership domain.

    Behavioral & LeadershipOnsite
  • Applied IntuitionMediumSoftware Engineer
    Find duplicate files by size

    This question evaluates file parsing, data deduplication and grouping skills along with algorithmic efficiency and space-time trade-offs when identifying duplicate files by size rather than by content.

    Coding & AlgorithmsTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Find first and last occurrence in sorted array

    This question tests the ability to modify the standard binary search algorithm to achieve logarithmic time complexity when searching for the boundary indices of a target value in a sorted array.

    Coding & AlgorithmsTechnical ScreenBinary SearchArrayAlgorithms
  • Applied IntuitionMediumSoftware Engineer
    Find grid cell minimizing sum distances

    This question evaluates proficiency in grid-based graph traversal and shortest-path computation using BFS, reachability analysis from multiple marked points, and algorithmic time/space complexity reasoning.

    Coding & AlgorithmsTechnical Screen
  • Applied IntuitionEasySoftware Engineer
    Find intersection of two line segments

    This question evaluates a candidate's skills in computational geometry and numerical robustness, focusing on line-segment intersection reasoning, endpoint touching, collinearity, and precision handling.

    Coding & AlgorithmsOnsite
  • Applied IntuitionEasySoftware Engineer
    Group duplicate files by content

    This question evaluates understanding of file deduplication, efficient I/O and hashing strategies, streaming large-file processing, and scalable algorithm design for identifying files with identical byte-for-byte contents.

    Coding & AlgorithmsOnsite
  • Applied IntuitionMediumSoftware Engineer
    Implement a fixed-capacity generic circular buffer

    This question tests the ability to implement a space-efficient data structure using fixed-size arrays, modular arithmetic for index wrapping, and generic type constraints.

    Coding & AlgorithmsOnsiteData StructuresArraysGenerics
  • Applied IntuitionMediumSoftware Engineer
    Implement a nested object validator

    This question evaluates proficiency in nested data validation, schema interpretation, and type checking for hierarchical objects, including handling nulls, arrays, extra fields, and clear error reporting.

    Data Manipulation (SQL/Python)Onsite
  • Applied IntuitionMediumSoftware Engineer
    Implement a single-thread task scheduler API

    This problem tests your ability to design a priority-based scheduler using a min-heap to manage tasks triggered by relative or absolute timestamps, ensuring execution occurs in the correct temporal order.

    Coding & AlgorithmsOnsiteData StructuresPriority QueueAlgorithms
  • Applied IntuitionMediumSoftware Engineer
    Locate Cars with a Boolean Square-Scan API

    Implement and analyze a quadtree-based search algorithm that locates all vehicles on a 2D grid using a Boolean square-scan API.

    Software Engineering FundamentalsTechnical Screenrecursiondivide-and-conquerquadtree
  • Applied IntuitionHardSoftware Engineer
    Merge Overlapping Collinear Lane Segments Given as Integer Point Lists

    Merge straight lane segments, each given as a list of collinear integer points, so that segments lying on the same line whose extents overlap or touch become one segment containing all of their points. It tests exact collinearity checks, handling of horizontal and vertical segments, and interval merging along each line.

    Coding & AlgorithmsTechnical Screen
  • Applied IntuitionHardSoftware Engineer
    Merge Overlapping Collinear Segments

    This question evaluates computational geometry and algorithm design skills, focusing on collinearity testing, projecting points onto a line, merging overlapping 1D intervals generalized to arbitrary lines, ordering points along a line, and handling duplicates and edge cases.

    Coding & AlgorithmsTechnical Screen
  • Applied IntuitionHardSoftware Engineer
    Merge Overlapping Straight Fence Runs From a Property Survey

    Collapse a pile of straight fence-line survey readings into one run per physically continuous stretch of fence, by detecting which readings sit on the same infinite line and connect up. Tests exact collinearity detection, correct handling of every orientation, and interval merging per line.

    Coding & AlgorithmsTechnical Screengeometryunion-findsorting
  • Applied IntuitionMediumSoftware Engineer
    Merge collinear overlapping 2D segments

    This problem tests your ability to handle geometric data by identifying and merging overlapping segments that lie on the same infinite line.

    Coding & AlgorithmsTechnical ScreenGeometryIntervalsSorting
  • Applied IntuitionMediumSoftware Engineer
    Merge overlapping 2D line segments

    This problem tests your ability to handle geometric data by sorting and merging 1D intervals that exist within a 2D space, specifically focusing on collinear segments.

    Coding & AlgorithmsTechnical ScreenGeometrySortingIntervals
  • Applied IntuitionMediumSoftware Engineer
    Mission motivation and a walkthrough of your school, major and job decisions

    Two behavioral prompts from one interview loop: a short self-introduction that turns into why the company's mission interests you, and a walkthrough of your school, major and job decisions covering why you chose each, the alternatives you had and what you learned. It tests motivation, judgment and self-reflection.

    Behavioral & LeadershipOnsite
  • Applied IntuitionMediumSoftware Engineer
    Multi-Agent Collision Simulator (Unicycle Kinematics)

    Implement a discrete-time multi-agent simulator using unicycle kinematics and forward Euler integration to track agent trajectories and detect inter-agent collisions.

    Coding & AlgorithmsTechnical ScreenRoboticsSimulationGeometry
  • Applied IntuitionMediumSoftware Engineer
    Parse a protobuf-like schema and answer queries

    This problem tests your ability to parse a hierarchical schema definition, resolve nested type references using a symbol table, and implement an efficient lookup function for type paths.

    Coding & AlgorithmsTechnical ScreenParsingTrieHash Table
  • Applied IntuitionMediumSoftware Engineer
    Protobuf-Style Schema: Look Up Message Sizes and Field Types, Then Parse the Schema

    Implement size and field-type lookups over a simplified protobuf-style schema in which messages embed other messages, then write the parser that builds the schema from raw text. Tests schema data modeling, handling of nested, cyclic and unknown message references, clear error behavior, and robust parsing of proto-like definitions.

    Software Engineering FundamentalsTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Scale Game of Life to huge matrices

    This question tests the ability to optimize grid-based simulations that exceed local memory capacity, focusing on sliding windows, buffer management, and efficient disk I/O.

    Coding & AlgorithmsTechnical ScreenAlgorithmsSystem-DesignI/O-Optimization
  • Applied IntuitionHardSoftware Engineer
    Scale a Grid Fire-Spread Simulation Past What Fits in Memory

    Scale a working small-grid cellular-automaton fire-spread simulation to a dense multi-million-cell board that no longer fits in memory, by computing each generation with a three-row sliding window read from one file and streamed into another. Tests memory estimation and disk-backed algorithm redesign without changing the core update rule.

    Software Engineering FundamentalsTechnical Screensimulationstreamingfile-io
  • Applied IntuitionHardSoftware Engineer
    Track simulations and report timeouts

    This question evaluates competency in algorithms and data-structure design for real-time stream processing, including maintaining per-simulation state, handling time-based expirations, and reasoning about performance and correctness.

    Coding & AlgorithmsTechnical Screen
  • Applied IntuitionMediumSoftware Engineer
    Validate JSON against a protobuf-like schema

    This problem tests your ability to recursively validate a JSON object against a structured schema definition and handle field presence constraints.

    Coding & AlgorithmsTechnical ScreenRecursionJSONValidation
  • Applied IntuitionHardSoftware Engineer
    Walk through a recent project design

    This question evaluates the candidate's proficiency in end-to-end system design—covering requirements definition, architecture and component design, data modeling, scalability, trade-off analysis, and operational readiness—within the System Design domain for a software engineer role.

    System DesignTechnical Screen
  • ApplovinHardSoftware Engineer
    Count invalid nodes in a BST

    This question evaluates understanding of binary search tree invariants and the ability to identify nodes that violate ancestor-imposed value ranges, testing competency with tree data structures and constraint propagation in the coding & algorithms domain.

    Coding & AlgorithmsTechnical Screen
  • ApplovinHardSoftware Engineer
    Design UberPool matching with zero Manhattan detour

    This question evaluates system design and algorithmic reasoning for constrained spatio-temporal matching and routing, covering Manhattan-distance geometry, matching algorithms, API and data model design, and scalability/consistency considerations.

    System DesignTechnical Screen
  • AristaEasySoftware Engineer
    Explain C printf pointers and memory layout

    This question evaluates understanding of C pointer semantics, printf format-specifier behavior, memory layout and allocation differences, and practical debugger usage for inspecting addresses and bytes, within the Software Engineering Fundamentals domain.

    Software Engineering FundamentalsTechnical Screen
  • AristaEasySoftware Engineer
    Find missing value in sorted consecutive array

    This question evaluates understanding of array properties and algorithmic complexity, specifically detecting a single missing element in a sorted consecutive sequence within the Coding & Algorithms category.

    Coding & AlgorithmsTechnical Screen