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Software Engineering Fundamentals 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 691–720 of 1208 results
- MintlifyMediumBackend EngineerDesign a CRUD API for a document service
Design the create, read, update and delete API for a document service, covering the resource model, endpoints, request shapes and status codes. It tests REST fundamentals plus production concerns such as concurrent edits, idempotent retries, pagination, authorization, deletion semantics and API versioning.
Software Engineering FundamentalsOnsite - MintlifyMediumSoftware EngineerRecreate a Card Interface from a Screenshot
Recreate a screenshot-defined card and chip component through extracted design tokens, accessible semantics, responsive layout, and visual comparison.
Software Engineering FundamentalsOnsite - MintlifyMediumBackend EngineerShould you add an index for a slow query on a large table's unindexed columns?
A query on a large database table is slow and the columns it filters on have no index: should you add one? It tests reading query plans, weighing selectivity and query frequency against write cost, designing composite or partial indexes, and building an index safely on a busy production table.
Software Engineering FundamentalsOnsite - Mistral AIMediumSoftware EngineerKeep GPUs Fed with an Efficient Data-Preparation Pipeline
Diagnose GPU input starvation across storage, CPU preprocessing, batching, transfer, and synchronization, then improve bounded overlap while preserving data correctness.
Software Engineering FundamentalsTechnical Screen - Mistral AIMediumSoftware EngineerSet up a Python LLM dev environment
This question evaluates practical competencies in Python development environment setup, reproducible dependency management with lockfiles, virtual environment and interpreter management, secrets handling via environment variables, project structuring, and basic API integration.
Software Engineering FundamentalsTechnical Screen - MithrilMediumSoftware EngineerDebug GPU Resource Allocation
This problem tests your ability to identify and debug concurrency issues and scheduling logic in a custom GPU resource manager.
Software Engineering FundamentalsOnsiteConcurrencyDebuggingScheduling - ModalMediumSoftware EngineerExplain and Harden Two Shell Commands
Tests deep understanding of Unix shell semantics, process management, file permissions, and standard stream handling by diagnosing subtle failure modes in common shell one-liners and writing robust, production-grade replacements.
Software Engineering FundamentalsTechnical Screenbashlinuxsystems - ModalMediumSoftware EngineerProve an Incremental Shuffle Is Uniform
Tests formal inductive reasoning on randomized algorithms by proving the uniformity of the Fisher-Yates shuffle, and evaluates practical knowledge of common implementation pitfalls like off-by-one bounds and modulo bias.
Software Engineering FundamentalsTechnical Screenalgorithmsprobabilityfisher-yates - ModalMediumSoftware EngineerSort One Hundred Million Digits
Implement counting sort to order 100,000,000 single-digit integers using O(1) auxiliary space, and analyze performance from a hardware and memory-bandwidth perspective.
Software Engineering FundamentalsTechnical Screenalgorithmscounting-sortsystems - MomentMediumFrontend EngineerBuild a Race-Free Memory Card Game in React
Work through the state and timing logic for a React memory-card game that remains correct under rapid clicks and restarts. The exercise examines stale closures, input locking, timeout cleanup, stable card identity, accessible interaction, and tests for race-prone transitions.
Software Engineering FundamentalsTechnical Screen - MongoDBHardSoftware EngineerBuild an Exactly-Once Crawler and Add Safe Concurrency
Build a crawler around a supplied fetch-and-parse API, then add bounded concurrency, atomic discovery, correct completion detection, and explicit failure semantics.
Software Engineering FundamentalsTechnical Screen - MongoDBMediumSoftware EngineerDebug a slow concurrent network server under load
This question tests your ability to diagnose performance bottlenecks in a multi-threaded network server using I/O multiplexing, focusing on how blocking calls and thread management impact latency.
Software Engineering FundamentalsOnsiteConcurrencyPerformance TuningI/O Multiplexing - MongoDBMediumSoftware EngineerEvaluate a Nested Predicate Expression Tree
Implement an evaluator for a serialized predicate expression tree against JSON documents, testing recursion, AST handling, and field resolution.
Software Engineering FundamentalsTechnical Screenrecursiontreesdesign - MongoDBMediumSoftware EngineerExplain Modern Python Features and Ecosystem
This question assesses your depth of knowledge regarding modern Python language evolution, the utility of popular libraries, and internal implementation details that impact memory and performance.
Software Engineering FundamentalsHR ScreenPythonInternalsMemory Management - MongoDBHardSoftware EngineerImplement a Finite Concurrent Web Crawler
Implement an orchestrator for a finite concurrent web crawler featuring transactional URL state tracking, per-host politeness rate-limiting, classified error handling, and robust termination detection.
Software Engineering FundamentalsOnsiteConcurrencySystem DesignQueues - MongoDBMediumSoftware EngineerImplement a Lazy Union Iterator Over Two Strictly Sorted Iterators
Implement a UnionIterator that lazily merges two strictly sorted iterators of integers or strings into one strictly sorted iterator without duplicates, using constant extra memory. Tests iterator protocol design, one-element lookahead, cross-input deduplication, end-of-stream behavior and edge cases such as empty inputs.
Software Engineering FundamentalsTechnical Screen - MongoDBMediumSoftware EngineerImplement a sliding-window rate limiter (n requests per k seconds), then make it per key
Coding and design question from a technical screen: implement a rate limiter that admits at most n requests in any k-second sliding window, then make it thread-safe and key-specific. It tests window boundary semantics, amortized complexity, race conditions and locking, per-key state creation and memory bounds.
Software Engineering FundamentalsTechnical Screen - MongoDBMediumSoftware EngineerReason About Recursive Key Search in Nested JSON
Implement a recursive search function to extract all values associated with a given key from deeply nested JSON documents containing arbitrary combinations of dictionaries and lists.
Software Engineering FundamentalsTechnical ScreenRecursionJSONTree Traversal - Morgan StanleyMediumData ScientistEstimate Greeks and hedging PnL
This question evaluates understanding of option Greeks (delta, gamma, vega), mental approximation of Gaussian probabilities, and the ability to reason about delta-hedged profit-and-loss under Black-Scholes model misspecification, categorized under Software Engineering Fundamentals for a Data Scientist role.
Software Engineering FundamentalsTechnical Screen - Morgan StanleyEasyData ScientistExplain forward contracts and options
This question evaluates understanding of financial derivatives—specifically forwards and options—assessing competency in financial instruments, contractual rights and obligations, pricing concepts, and how these concepts inform data-driven modeling for a Data Scientist role.
Software Engineering FundamentalsTechnical Screen - NVIDIAMediumSoftware EngineerClarify and Design a Streaming Top-K Tracker
This question tests the ability to design an efficient data structure for maintaining the top-K elements in a high-throughput stream with time-windowing requirements.
Software Engineering FundamentalsTechnical ScreenData StructuresAlgorithmsStreaming - NVIDIAMediumSoftware EngineerCompare Java and Python: Execution, Typing, Concurrency and When to Use Each
An engineering director asks how Java and Python differ and where each language is stronger or weaker. It tests understanding of execution models, static versus dynamic typing, concurrency and the global interpreter lock, ecosystems, and the judgment to recommend a language for a concrete project.
Software Engineering FundamentalsOnsite - NVIDIAMediumSoftware EngineerCount Distinct Strings With a Hand-Built Hash Table, Then Parallelize It for GPUs
A coding and concurrency question: count the distinct strings in an array with a hash table built from scratch, then keep the count correct when many threads insert at once. It tests hash table design, locks versus atomic compare-and-swap, and how work division and memory layout affect GPU and CPU performance for a million keys.
Software Engineering FundamentalsTechnical Screen - NVIDIAMediumData EngineerData Pipeline Reliability, Backfills, and Spark Optimization
Prepare for a NVIDIA software engineering interview question about data pipeline reliability, backfills, and spark optimization. The prompt highlights practical reasoning, edge cases, trade-offs, and validation criteria without revealing the model answer.
Software Engineering FundamentalsTechnical Screen - NVIDIAMediumSoftware EngineerDefine a Git workflow for CI
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 Define a Git workflow for CI states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Software Engineering FundamentalsOnline Assessment - NVIDIAMediumSoftware EngineerDemonstrate software engineering fundamentals
This interview question evaluates engineering fundamentals, trade-offs, examples, pitfalls, and operational implications in a realistic interview setting. A strong answer for Demonstrate software engineering fundamentals states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Software Engineering FundamentalsOnsite - NVIDIAHardSoftware EngineerDesign a Multi-Producer Multi-Consumer Circular Buffer
Design a thread-safe, bounded multi-producer multi-consumer (MPMC) circular buffer supporting blocking operations, timeouts, and graceful shutdown (close-and-drain).
Software Engineering FundamentalsTechnical ScreenConcurrencyData StructuresMultithreading - NVIDIAMediumSoftware EngineerDesign a top-build target tracker
This problem tests object-oriented design and data structure proficiency by requiring the implementation of a tracker that maintains the top-K most frequent entities within a sliding time window of events.
Software Engineering FundamentalsTechnical ScreenDesignData StructuresSliding Window - NVIDIAMediumSoftware EngineerDesign an IR for test workflows
This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Design an IR for test workflows states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Software Engineering FundamentalsOnline Assessment - NVIDIAMediumSoftware EngineerExplain Amdahl’s law and GPU matmul optimization
This question tests the ability to apply Amdahl's Law to real-world hardware acceleration and understand the architectural constraints involved in GPU matrix multiplication.
Software Engineering FundamentalsTechnical ScreenAmdahl's LawGPU ArchitectureC++ Performance
Mintlify
Mistral AI
MongoDB
Morgan Stanley
NVIDIA