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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 691–720 of 5874 results
- AnthropicMediumSoftware EngineerDesign a Resumable, Parallel Fetcher for Huge Dataset Releases
Design a node-side fetcher that downloads multi-terabyte dataset releases in parallel byte ranges, resumes from verified pieces after crashes, and atomically publishes only complete releases. Tests manifest design, range-request validation, durable progress tracking, and atomic filesystem publication.
System DesignOnsitesystem-designdistributed-systemsstorage - AnthropicMediumSoftware EngineerDesign a Shared API Request Workbench With Versioned Runs
Design a team tool where engineers co-edit a shared collection of HTTP request templates, freeze them into immutable versions, and execute versions asynchronously against third-party APIs with full provenance of inputs, config, and results.
System DesignOnsitesystem-designcollaborationversioning - AnthropicMediumSoftware EngineerDesign a Team SQL Workbench with Snapshots and Async Runs
Design a multi-user SQL workbench where analysts co-edit drafts, freeze immutable snapshots, and launch long-running warehouse queries whose results stay traceable to their exact inputs. Tests concurrency control, immutability boundaries, and reliable async execution.
System DesignOnsitecollaborationversioningasync-jobs - AnthropicMediumSoftware EngineerDesign a Telemetry Pipeline That Handles Inconsistent Metric Names from Old Clients
Design a telemetry pipeline that ingests metrics from a large fleet of deployed clients, then handle legacy clients that cannot be updated and report the same metric under inconsistent names. It tests durable ingestion, stream processing and storage design, canonical metric catalogs, version-scoped name mapping and schema evolution.
System DesignOnsite - AnthropicHardSoftware EngineerDesign a Translation API That Batches Requests on a Fixed Clock
Design a hosted translation API where a GPU worker runs one batch of pending requests every fixed round, and the candidate must derive throughput, batch-closing policy, and failure handling from that one constraint.
System DesignOnsitesystem-designbatchingcapacity-planning - AnthropicHardSoftware EngineerDesign a batch inference API
This question evaluates a candidate's ability to design asynchronous batch inference APIs and systems, including API schema and job lifecycle design, idempotency semantics, queueing and worker scaling, batching and accelerator utilization, rate limiting, observability, and error handling.
ML System DesignOnsite - AnthropicHardSoftware EngineerDesign a concurrent web crawler
An Anthropic system design question: design and implement a concurrent web crawler, from a single-threaded baseline to manual threads, a thread pool and asyncio. It covers the URL frontier, deduplication across workers and redirects, robots.txt and per-host politeness, Retry-After backoff, completion detection, memory sizing, testing and monitoring.
System DesignTechnical Screen - AnthropicMediumSoftware EngineerDesign a distributed web crawler
This question tests the ability to design a scalable, fault-tolerant distributed web crawler that handles URL management, distributed coordination, and domain politeness.
System DesignTechnical ScreenDistributed SystemsScalabilityCaching - AnthropicHardSoftware EngineerDesign a high-concurrency LLM inference service
This problem evaluates your ability to design a scalable LLM inference serving platform, focusing on throughput optimization, memory constraints, and scheduling strategies for long-running inference requests.
ML System DesignOnsiteLLMInferenceGPU - AnthropicHardSoftware EngineerDesign a low-latency ML inference API
This question evaluates competency in ML system design for real-time, low-latency inference APIs, including multitenancy, SLO/SLI definition, feature retrieval, model serving and rollout strategies, observability, cost control, and security/compliance within the ML System Design category.
ML System DesignOnsite - AnthropicMediumSoftware EngineerDesign a one-to-one chat system
This problem tests your ability to design a scalable, real-time one-to-one messaging system by addressing requirements for message ordering, delivery guarantees, and user presence.
System DesignTechnical ScreenWebSocketsMessagingScalability - AnthropicHardSoftware EngineerDesign a profiling plan for kernels
This question evaluates competency in performance profiling, experimental design, microarchitectural analysis, statistical methodology, and kernel-level performance engineering.
Analytics & ExperimentationOnsite - AnthropicHardSoftware EngineerDesign a prompt playground
This question evaluates a candidate's competency in large-scale system design, real-time streaming and prompt execution, multi-tenant data modeling, versioning and collaboration workflows, security and privacy controls, observability and cost tracking, and abuse prevention.
System DesignOnsite - AnthropicHardSoftware EngineerDesign a prompt processing backend
Design a prompt processing backend evaluates ML product requirements, data/labeling, modeling, serving architecture, evaluation, monitoring, and trade-offs in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
ML System DesignOnsite - AnthropicMediumSoftware EngineerDesign a prompt-sharing platform
This question assesses the ability to design a scalable content-sharing platform, focusing on data modeling, efficient retrieval of user-generated prompts, and the handling of concurrent access and permissions.
System DesignTechnical ScreenAPI DesignData ModelingScalability - AnthropicHardSoftware EngineerDesign a scalable network I/O service
This question evaluates a candidate's ability to design a scalable, highly available network I/O backend, testing competencies in distributed systems, storage architecture, CDN and caching integration, API and data model design, capacity planning, failure handling, observability, and security.
System DesignTechnical Screen - AnthropicHardSoftware EngineerDesign a scalable, reliable system
The prompt evaluates competence in large-scale distributed system design, covering storage architecture, consistency and replication strategies, caching, APIs and data models, operational reliability, security, and cost/capacity planning.
System DesignTechnical Screen - AnthropicMediumSoftware EngineerDesign a single- and multi-threaded web crawler
This question evaluates skills in web crawling, URL parsing and fragment sanitization, graph traversal for deduplication, and concurrent programming for thread-safe crawling, and it falls under the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - AnthropicHardSoftware EngineerDesign an LLM Prompt Playground: Schema, Large Prompts, Sharing and Tiny Edits
A system design interview to build an LLM prompt playground where users write, run, save and share prompts, starting from the database schema. Follow-ups probe storing very large prompts, designing sharing, and handling frequent one- or two-character edits to a large prompt without wasting storage.
System DesignOnsite - AnthropicHardSoftware EngineerDesign an LLM Request Batcher When Every Batch Costs a Fixed Time
Design the serving path for a code-completion model whose accelerators run requests in batches. The interviewer says one batch always takes a fixed 250 ms. Tests batching policy, capacity math, latency budgets, routing results back to callers, failure handling, and questioning the fixed-latency assumption.
System DesignOnsitellm-servingbatchingqueueing - AnthropicMediumSoftware EngineerDesign an LLM-based binary classifier
This question evaluates knowledge of LLM-based binary classification, probabilistic scoring and numerical stability (including log-prob handling and log-sum-exp), prompt construction, batching and sequence-level aggregation, calibration and evaluation metrics, plus analysis of failure modes and inference-time complexity.
ML System DesignTechnical Screen - AnthropicMediumSoftware EngineerDesign and implement a Python solution
This question evaluates Python programming proficiency, algorithm design, data structure selection and justification, modular coding practices, unit testing, and time/space complexity analysis.
Coding & AlgorithmsOnsite - AnthropicHardSoftware EngineerDesign distributed median and mode
This question evaluates skills in distributed systems and large-scale analytics, covering data partitioning, streaming and sliding-window processing, quantile and heavy-hitter summarization, fault tolerance, and trade-off analysis for time, space, and network I/O.
System DesignOnsite - AnthropicMediumSoftware EngineerDesign file deduplication across nested directories
This question evaluates a candidate's competency in file system traversal, robust I/O handling including symbolic links and cycles, content-based deduplication, and algorithmic efficiency within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - AnthropicMediumSoftware EngineerDesign file deduplication at scale
This question evaluates understanding of file-system algorithms, hashing and deduplication techniques, scalable I/O and memory management, and correctness considerations for hash collisions, and it belongs to the Coding & Algorithms domain.
Coding & AlgorithmsOnsite - AnthropicHardSoftware EngineerDesign guardrails and fallback for LLM reliability
Design an end-to-end safety and reliability middleware layer for a production LLM service, focusing on low-latency input/output guardrails, early streaming interception, multi-tier fallback strategies, and observability.
System DesignOnsiteLLMSafetyStreaming Architecture - AnthropicMediumSoftware EngineerDesign high-throughput hashing for kernels
This question evaluates understanding of cache-efficient, high-throughput hash lookup design and related competencies such as hashing strategies, probe behavior, memory layout, vectorization, bitwise optimizations, prefetching, alignment, and microarchitectural performance trade-offs.
Coding & AlgorithmsOnsite - AnthropicHardSoftware EngineerDesign production-ready dedup service
This question evaluates system design and distributed storage competencies, focusing on scalable file deduplication, content-defined chunking, metadata and index design, multi-tenant architectures, and operational reliability across regions.
System DesignTechnical Screen - AnthropicHardSoftware EngineerDesign stack with O(1) minimum query
This problem tests your ability to augment a standard stack with metadata to perform efficient minimum queries without sacrificing the constant-time complexity of stack operations.
Coding & AlgorithmsTechnical ScreenStackData StructuresAlgorithms - AnthropicMediumSoftware EngineerDetect duplicate files by content
This question evaluates filesystem traversal, efficient I/O and memory use, hashing strategies for content comparison, duplicate-detection algorithms, and time/space complexity analysis.
Coding & AlgorithmsOnsite
Anthropic