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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 631–660 of 4616 results
- Applied IntuitionMediumMachine Learning EngineerDebug a GPT training pipeline
This question evaluates debugging and implementation skills for transformer-based training pipelines, specifically attention masking, training-loop correctness, positional encoding integration, and the ability to design unit tests that catch such bugs.
ML System DesignTechnical Screen - Applied IntuitionMediumMachine Learning EngineerDesign Ordered CUDA Reduction
This question evaluates understanding of parallel GPU programming, deterministic reduction ordering, and numerical stability in floating-point arithmetic, within the domain of parallel algorithms, GPU/CUDA programming, and numerical computing for a Software Engineering Fundamentals / Machine Learning Engineer role.
Software Engineering FundamentalsTechnical Screen - Applied IntuitionMediumSoftware EngineerDesign Parsing Boundaries for Interdependent Message Types
Design parsing and type-resolution boundaries for interdependent message definitions, clarifying schema versus encoded input, forward references, recursion, and validation.
Software Engineering FundamentalsTechnical Screen - Applied IntuitionMediumSoftware EngineerDesign Sensor Data Processing With AI-Assisted Implementation
Design an end-to-end ingestion, validation, and storage pipeline for high-frequency sensor telemetry from autonomous vehicle fleets. The focus is on handling raw versus derived data, schema modeling, fast time-range queries, and robust validation.
System DesignTechnical ScreenTime SeriesData PipelineIoT & Robotics - Applied IntuitionMediumSoftware EngineerDesign a C++ Ring Buffer for Producer-Consumer Use
This problem tests your understanding of multi-threaded synchronization primitives, memory ordering, and circular buffer logic in a low-latency environment.
Software Engineering FundamentalsTechnical ScreenC++ConcurrencyLock-free - Applied IntuitionMediumSoftware EngineerDesign a Streaming TLV Message Reassembler in C
Implement an in-memory reassembler in C that reconstructs out-of-order chunked TLV messages, validates chunk bounds and duplicates, and detects message completion.
Software Engineering FundamentalsTechnical ScreenCSystems ProgrammingNetworking - Applied IntuitionMediumSoftware EngineerDesign a Transactional Key-Value Store
This problem tests the ability to design an in-memory key-value store that supports nested transactions, including atomic commits, rollbacks, and precise state management across layers.
Software Engineering FundamentalsTechnical ScreenData StructuresSystem DesignTransactions - Applied IntuitionMediumSoftware EngineerDesign a transactional in-memory key–value store
This question evaluates understanding of transactional state management, nested transaction semantics, scope shadowing, and efficient data-structure design for an in-memory key–value store, assessing competency in correctness, consistency, and algorithmic complexity under nested BEGIN/ROLLBACK/COMMIT operations.
Coding & AlgorithmsTechnical Screen - Applied IntuitionHardSoftware EngineerDiscuss productionizing event-timeout detector
Discuss productionizing event-timeout detector 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 - Applied IntuitionMediumSoftware EngineerEvaluate Dependent Variable Assignments
Evaluate a list of variable assignment statements where variable values can depend on variables defined later in the input. The problem tests expression parsing, cycle detection, dependency resolution via topological ordering or memoized depth-first search, and deep recursion handling.
Coding & AlgorithmsTechnical Screengraphtopological-sortparsing - Applied IntuitionEasySoftware EngineerEvaluate 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 EngineerExplain 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 EngineerFind 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 EngineerFind 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 EngineerFind 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 IntuitionMediumMachine Learning EngineerImplement a Fixed-Capacity Deque
This question evaluates proficiency with double-ended queue semantics, fixed-capacity data structure design, constant-time (O(1)) operations, and correct handling of boundary conditions and wraparound.
Coding & AlgorithmsTechnical Screen - Applied IntuitionMediumMachine Learning EngineerImplement and explain positional encoding
This question evaluates knowledge of positional encoding mechanisms for Transformer language models, covering embedding mathematics, tensor shapes and broadcasting, PyTorch implementation details, expected training and inference symptoms when positional information is omitted, and methods for empirical verification and ablation.
Machine LearningTechnical Screen - Applied IntuitionMediumSoftware EngineerLocate 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 EngineerMerge 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 EngineerMerge 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 EngineerMerge 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 EngineerMerge 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 EngineerMerge 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 EngineerMulti-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 EngineerParse 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 EngineerProtobuf-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 IntuitionHardBackend EngineerResolve Dependent Addition Equations
Implement an equation evaluator that computes the integer values of variables defined in terms of literals and other variables while detecting cycles and undefined references.
Coding & AlgorithmsTechnical ScreenGraphTopological SortDFS - Applied IntuitionMediumSoftware EngineerScale 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 EngineerScale 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 EngineerTrack 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 Intuition