system-design Interview Questions
89 interview questions in our bank cover system-design, most of them System Design for ML. They average 3.5/5 difficulty — medium — and each one was reported by a candidate after a real interview. Companies known to ask about system-design: Roblox, Salesforce, Reddit, Figma, Anthropic, and 15 more.
Practice these on the problems board →Companies that ask about system-design
Question mix
- System Design for ML77
- Coding & Leetcode-style Questions7
- ML Fundamentals & Algorithms2
- Mobile Engineering (Android/iOS)2
- Behavioral1
Difficulty
- 2/5 — easy2
- 3/5 — medium44
- 4/5 — hard42
- 5/5 — very hard1
Questions tagged system-design
Design a GPU Scheduling Platform
4/5This reported OpenAI interview challenge asks you to architect a cluster management platform capable of distributing limited hardware resources across competing machine learning workloads. You will need to address priority queues, topology-aware placement for multi-node tasks, failure recovery, and strategies to balance hardware utilization against queue wait times. The complete breakdown and expert architectural solution require a subscription.
System Design for MLOpenAIAnthropicDesign a GPU Inference Serving System
4/5In this advanced system design challenge reported at Anthropic, you are tasked with architecting a high-throughput model serving platform on a constrained GPU cluster to minimize latency while maximizing token generation rates. Key topics include continuous batching, memory allocation strategies, autoscaling policies, and handling traffic surges. The full architectural walkthrough and expert solution require a subscription.
System Design for MLAnthropicNVIDIADesign ChatGPT: A Conversational LLM Serving Platform
4/5Explore how to architect a real-time conversational intelligence service capable of streaming text generation to massive concurrent user bases. This OpenAI reported system design challenge evaluates your ability to manage expensive hardware accelerators, handle memory efficiently through KV caching techniques, and maintain multi-turn dialogue state under strict latency bounds. You will learn strategies for continuous batching and request prioritization. The full problem and model solution require a subscription.
System Design for MLOpenAIAnthropicxAIDesign a Distributed Training Platform for Foundation Models
4/5Architect a massive, highly available distributed infrastructure designed to train giant foundation models across thousands of accelerators simultaneously, as featured in an OpenAI system design interview. This problem focuses on orchestrating synchronous workloads, handling rapid fault recovery, optimizing data pipelines, and managing model parallelism strategies like tensor and pipeline sharding. You will also tackle scheduling fairness and network bottlenecks. Unlock the full design breakdown and expert architectural solution with a subscription.
System Design for MLOpenAIDesign a Distributed AI Model Downloader
4/5Tackle the challenge of efficiently transferring colossal machine learning parameter files from centralized storage to thousands of edge GPU nodes in this system design interview reported from Anthropic. You will design a high-throughput distribution network that prevents bandwidth saturation using peer-to-peer or tree-based fan-out mechanisms, while managing local node caching, versioning, and partial download resumption. Unlock the complete system architecture, bottleneck analysis, and expert solution with a subscription.
System Design for MLAnthropicDesign an AI Chatbot App (RAG-Grounded Assistant)
4/5Learn to architect an enterprise-grade document assistant that retrieves verified knowledge to provide accurate responses with proper source attribution. In this reported OpenAI design scenario, you will examine ingestion pipelines, chunking strategies, vector index maintenance, and prompt assembly techniques designed to minimize hallucination. The architecture focuses heavily on grounding generative models with proprietary corporate data. The full problem and model solution require a subscription.
System Design for MLOpenAIDesign an AI Prompt Playground
4/5Reported as an AI system design interview at Anthropic, this exercise challenges you to architect a multi-tenant web application for authoring prompts and evaluating multiple large language models concurrently. You must address complex engineering hurdles including streaming response pipelines, tenant rate limiting, cost monitoring, and version control storage. The evaluation emphasizes balancing system responsiveness with strong resource isolation. Unlock the complete system architecture guide and expert design breakdown with a subscription.
System Design for MLAnthropicImplement an ETL Pipeline in VSCode
3/5Master the fundamentals of data engineering by building a functional ingestion, cleansing, and persistence workflow inside a popular code editor. This reported Fidelity interview scenario evaluates your ability to handle unstructured or messy payloads, sanitize records, and manage standard data flow requirements cleanly. Candidates are tested on practical data wrangling techniques and pipeline reliability. Access the complete problem description and expert model solution with an active subscription.
ML Fundamentals & AlgorithmsFidelityDesign a Slack-like Chat System with Deletion Semantics
4/5Designing real-time communication platforms requires handling complex state synchronization and deletion semantics across diverse client states. This reported Databricks system design question challenges you to architect a messaging network where conversation and message removals propagate reliably to both active and long-offline participants. You will explore distributed consistency models, synchronization protocols, and scalability trade-offs. Unlock the full design scenario and expert evaluation framework by purchasing a subscription.
System Design for MLDatabricksBuild a Simplified Image-Text Retrieval Training and Evaluation Pipeline
4/5In this multimodal machine learning challenge reported from eBay, candidates must construct a training and evaluation pipeline for cross-modal product retrieval using images and descriptive text. The task evaluates your ability to combine pre-trained visual and textual encoders, map embeddings into a shared latent space, and compute relevant similarity metrics. Access to the comprehensive prompt, evaluation setup, and reference implementation is exclusively available to subscribers.
ML Fundamentals & AlgorithmseBayDesign an Image Loading and Caching Library
4/5Master the architecture of modern mobile media tools with this reported mobile engineering interview challenge. You will explore how to architect multi-tiered caching strategies, coordinate background threading pipelines, and ensure smooth UI performance during rapid list scrolling without running into memory bottlenecks. Dive into the complete problem statement and expert reference solution by unlocking our full platform access.
Mobile Engineering (Android/iOS)MobileDesign a Pickup Area Driver Queue
4/5Confront a real-time spatial state management problem modeled after an Uber system design interview for logistics infrastructure. You will explore how to reliably track geofenced queue memberships, maintain stable ordering despite continuous GPS fluctuations, and serve low-latency queries for staged service providers. Explore the complete architectural deep dive and expert recommendations with a subscription.
System Design for MLUberDesign a Recommendation System for a New Product (the Cold-Start Problem)
4/5Architect a robust discovery engine capable of handling zero-interaction scenarios for fresh inventory, inspired by machine learning system design sessions at Hugging Face. You will evaluate multi-stage retrieval funnels, leverage content-based metadata representations, and design exploration strategies to bootstrap the data flywheel effectively. Unlock the complete design framework and expert guidance by subscribing today.
System Design for MLHugging FaceEmbedded-Optimized Elevation Mapping
4/5Tackling real-time spatial data processing for autonomous vehicles is a popular machine learning infrastructure challenge frequently asked at Zipline. This system design problem requires engineering a lightweight architecture to manage and update continuous terrain elevation feeds within tight hardware limitations. Candidates must demonstrate how to handle stream velocity, memory bounds, and sensor inaccuracies efficiently. Unlock the comprehensive walkthrough and expert system design solution with a subscription.
System Design for MLZiplinePost-Comment Ranking System
3/5Designing a scalable comment ranking and discussion tree sorting infrastructure is a prominent machine learning system design question frequently asked at Reddit. This challenge focuses on engineering low-latency retrieval pipelines that surface high-quality user discourse and community posts dynamically without exhaustive re-sorting overhead. You must balance freshness, personalization, and pagination performance under heavy traffic. Gain immediate access to the full problem analysis and architectural solution by subscribing.
System Design for MLRedditRate Limiter for Expensive API with User-Configurable Monthly Quota
3/5Prepare for a system design technical screen encountered in Salesforce engineering loops by architecting a scalable rate-limiting layer for high-cost application endpoints. Your system must handle user-defined monthly quotas managed through a self-serve dashboard, enforce limits with immediate effect, and properly manage overage scenarios. This scenario evaluates your capability to design high-throughput distributed architectures that handle dynamic configuration updates reliably. Gain access to the complete architectural guidelines, deep-dive discussions, and expert design solutions by subscribing today.
System Design for MLSalesforceML Model Design — Prompt-to-Design Generation
4/5This Figma machine learning system design interview focuses on building a generative architecture that translates natural language descriptions into interactive user interface layouts. You will need to address the end-to-end model lifecycle, including data curation, fine-tuning techniques, evaluation metrics, and deployment considerations for generative visual systems. The discussion tests your ability to scale complex multimodal machine learning pipelines in a production environment. Unlocking the full design framework and comprehensive breakdown requires a subscription.
System Design for MLFigmaDesign a Wallet with Ledger and Idempotent Transfers
4/5Mastering financial architecture is crucial for modern engineering interviews, as highlighted by this Roblox software design challenge. Candidates are tasked with architecting a robust digital wallet system that supports accurate account balances, immutable ledger tracking, safe duplicate-request handling, and proactive security measures against fraudulent activities. This problem evaluates your ability to build highly reliable, concurrent transactional workflows that prevent race conditions and data corruption. Access to the complete problem breakdown and expert model solution requires an active platform subscription.
System Design for MLRobloxProject Deep Dive and Paper Presentation
3/5Prepare for technical evaluations at Scale AI by mastering how to effectively review and communicate complex research papers or past engineering systems during architectural deep dives. This behavioral screening emphasizes clear justification of technical tradeoffs and domain expertise. Unlock the complete guide and insider preparation strategies by acquiring a subscription.
BehavioralScale AIML Feature Store
3/5In this system design question from Reddit, you are asked to architect a centralized feature store capable of supporting both real-time model scoring and large-scale historical training pipelines. The challenge focuses on solving consistency issues between offline and online layers, ensuring point-in-time correctness, and meeting strict latency targets under heavy throughput. You must address caching strategies, infrastructure trade-offs, and data ingestion workflows. Access the comprehensive architectural guide and model evaluation by subscribing.
System Design for MLRedditDesign a Like / Unlike Counter Service at Scale
4/5This system design challenge, reported from Roblox, asks you to architect a massive-scale like and unlike counter service supporting hundreds of millions of users. The evaluation centers on your ability to design database schemas, ensure idempotency during retries, mitigate hot-shard bottlenecks, and balance read versus write performance tradeoffs on high-traffic creator content. You will learn how to handle extreme data velocity efficiently. Access the detailed architectural guide and expert solution by purchasing a subscription.
System Design for MLRobloxDesign Walmart Plus Membership System
4/5This comprehensive system design challenge, modeled after paid subscription platforms like Walmart Plus, requires building a robust backend for membership lifecycle management. You must architect components handling recurring billing retries, high-throughput entitlement verification for downstream services, household sharing, and failure recovery. The exercise tests your capability to design resilient, transactional distributed workflows operating under strict latency limits. The complete architectural blueprint and design analysis require a subscription.
System Design for MLWalmart LabsVideo Recommendation
3/5Architecting modern machine learning platforms is a critical competency evaluated during senior technical evaluations at companies like Reddit. This infrastructure challenge tests your ability to design an end-to-end media recommendation pipeline, encompassing candidate retrieval, multi-objective scoring, low-latency serving, and robust feedback collection loops. You will need to address complex data flow logistics, event logging pipelines, and system observability to ensure continuous model improvement. The full problem and model solution require a subscription.
System Design for MLRedditGame Leaderboard System Design
3/5In this system design challenge reported from Reddit, architects must build a scalable real-time gaming leaderboard capable of handling millions of players, high-throughput score submissions, and rapid top-K queries. The exercise gradually scales from a basic single-server setup to a distributed architecture supporting friend rankings, sliding time windows, and heavy replication. Candidates will explore efficient data structures and persistence strategies to balance read and write performance. Unlock the full architectural breakdown and recommended solution by subscribing today.
System Design for MLRedditDesign a Recommendation System for a New Product (the Cold-Start Problem)
4/5Explore how to architect a modern multi-stage machine learning recommender pipeline, covering candidate generation, scoring, and final list refinement. This reported Hugging Face interview challenge focuses heavily on overcoming the tough cold-start scenario when introducing brand-new inventory lacking historical user interaction logs. You will learn strategies for balancing exploration and exploitation to bootstrap recommendations effectively. Accessing the complete system architecture and expert model solution requires an active subscription.
System Design for MLHugging FaceDesign Multi-Carrier Package Delivery Routing System
4/5Designing modern logistics software involves balancing dynamic pricing, carrier capacity constraints, and strict service level agreements across multiple external vendor APIs. This Walmart Labs system design exercise explores how to orchestrate package fulfillment by intelligently selecting optimal delivery partners and handling asynchronous tracking updates and exceptions. It tests your ability to build fault-tolerant workflows for complex third-party integrations. Gaining access to the full problem requirements and expert solution requires a subscription.
System Design for MLWalmart LabsML System Design — Asset / Template Recommendation & Feed
3/5In this machine learning system design interview question reported at Figma, candidates are tasked with architects developing a personalized recommendation feed for digital assets and templates. The discussion typically centers around standard retrieval and scoring architectures, focusing heavily on adapting candidate generation and ranking pipelines to unique creative content. You will need to navigate domain-specific constraints, model trade-offs, and scaling considerations. Unlock the complete breakdown and expert architectural solutions by subscribing today.
System Design for MLFigmaReal-Time Collaborative Code Editor
3/5This reported LinkedIn interview question challenges candidates to architect a real-time collaborative coding environment where a single administrator updates code that is instantly broadcast to multiple spectators. The assessment focuses on designing a robust propagation model from the ground up without relying on standard operational transformation libraries, ensuring that latecomers immediately synchronize with the current session state. The complete architectural blueprint and reference implementation require a subscription.
System Design for MLLinkedInDesign a Matchmaking Service for Multiplayer Games
4/5Designed around real-world scenarios at Roblox, this architectural challenge focuses on building a scalable matchmaking system that groups online players into balanced multiplayer lobbies. The design exercise explores complex trade-offs involving queue partitioning, skill bucket algorithms, wait-time degradation policies, and regional server allocation. Reviewing the comprehensive system design breakdown, architectural diagrams, and expert recommendations requires an active subscription.
System Design for MLRobloxRide-Hailing System Design (Uber)
3/5This system design challenge, reflecting real-world engineering queries at Amazon, centers on architecting a large-scale ride-matching platform capable of handling intense write loads from continuous driver location updates. Candidates must tackle geospatial indexing strategies, high-frequency data throttling, and low-latency cache utilization to pair riders with nearby vehicles efficiently. Gain access to the full system requirements, architectural diagrams, and expert design solutions with a subscription.
System Design for MLAmazonDesign an API Rate Limiter
3/5In this classic Uber system design challenge, engineers are tasked with building a robust request throttling framework capable of restricting high-frequency traffic based on sliding time windows. The exercise evaluates your capability to handle distributed state synchronization, varying user quotas, and endpoint-specific thresholds under heavy load. You will need to consider memory footprints and concurrency bottlenecks to ensure reliable enforcement across multiple backend nodes. Access to the full architecture breakdown and complete expert solution requires an active subscription.
System Design for MLUberDesigning a Scalable News Aggregator System with Cassandra
4/5Tackling large-scale content distribution architectures is a critical competency for senior engineers, as seen in reported Ripple system design interviews. This scenario requires engineering a robust news aggregation platform capable of handling user subscriptions, categorizing articles, and serving personalized feeds efficiently using distributed data stores like Cassandra. You will need to address eventual consistency, fault tolerance, and read-write performance tradeoffs. Accessing the comprehensive architectural breakdown and expert recommendation details requires an active subscription.
System Design for MLRippleMetrics Collection, Alerting & Click Counters
3/5This Snapchat system design challenge focuses on building a resilient real-time metrics and event aggregation pipeline capable of processing massive click volumes with low latency. You must architect a scalable framework that handles hot keys, deduplicates retried requests, corrects out-of-order data streams, and supports both instantaneous dashboards and deep historical analysis. The problem tests your expertise in distributed stream processing and storage trade-offs. To read the complete design breakdown and expert architectural patterns, please subscribe.
System Design for MLSnapchatStock Trading / Real-Time Quote System Design
3/5This Robinhood system design interview question focuses on architecting a high-throughput trading platform capable of handling real-time financial quotes and external exchange API integrations reliably. You will need to address scalability, data modeling, latency reduction, and fault tolerance under heavy market traffic. The complete design blueprint, architectural trade-offs, and expert recommendations require a subscription.
System Design for MLRobinhoodDesigning HTTPS Load Balancer with SSL, HA, and Scaling
4/5This system architecture interview question from Cloudflare focuses on building a secure, highly scalable traffic gateway capable of managing encrypted web sessions and balancing loads efficiently across backend pools. Candidates must address secure handshake processing, fault tolerance mechanisms, dynamic horizontal scaling, and traffic routing strategies. The challenge evaluates your ability to design robust network layers that maintain performance and availability under heavy loads. To view the complete architectural guide and expert commentary, a subscription is required.
System Design for MLCloudflareAsync Job Scheduler
3/5This distributed systems design exercise, reported at Figma, asks you to build a robust background task management platform capable of handling immediate executions as well as delayed triggers. The core challenge centers on fault tolerance, guaranteeing exactly-once task completion, and managing worker recovery gracefully if a node fails mid-operation. You must address concurrency, idempotency, and reliable queue administration at scale. Access the complete system requirements and expert design solution with a paid subscription.
System Design for MLFigmaLow-Latency Trading System Design
4/5Designing ultra-fast communication architectures is crucial in high-frequency trading, as explored in this Optiver system design interview scenario. You will architect a network infrastructure bridging remote trading desks with colocated exchange servers, focusing heavily on low-latency protocols, TCP tuning, and hardware constraints. This challenge assesses your grasp of distributed networking principles and hardware-software trade-offs under strict time constraints. To read the detailed design guide and expert architectural solutions, a subscription is necessary.
System Design for MLOptiverDesign Robot Human-Avoidance (Open-Ended)
4/5This open-ended Amazon system design discussion focuses on equipping warehouse robotics with reliable pedestrian detection and collision avoidance capabilities. Candidates navigate critical architectural decisions, including sensor selection trade-offs, spatial data modeling for dynamic environments, and multi-tier perception-to-actuation control loops. The dialogue assesses real-time processing constraints and safety-critical machine learning integration. To read the full design guidelines and expert solution architecture, a subscription is necessary.
System Design for MLAmazonDesign a Pizza Ordering and Fulfillment System (OOD)
3/5Master object-oriented design principles by architecting an end-to-end culinary fulfillment network, commonly featured in Amazon technical interviews. This challenge evaluates your capability to model complex real-world entities, manage concurrent asynchronous workflows, and design robust state machines that seamlessly coordinate customer customization, kitchen preparation stations, and last-mile delivery tracking. You will need to balance scalability, clean separation of concerns, and architectural extensibility while addressing tight constraints. To explore the complete architectural blueprint and review our expert model solution, unlock full platform access today.
System Design for MLAmazonDAU / MAU Internal Analytics System
3/5This system design problem, reported from Vanta, focuses on architecting an internal analytics platform to track user engagement metrics and conversion funnels for internal stakeholders. A key challenge involves capturing reliable telemetry data without introducing latency that degrades the primary user experience. Designing this architecture requires balancing throughput, storage efficiency, and non-blocking instrumentation patterns. The detailed architecture blueprint, trade-off analysis, and reference solution require a subscription.
System Design for MLVantaTemplate & Instance System with Update Propagation
2/5Tackle a realistic Figma system design scenario centered around component reuse and synchronization across hierarchical dependencies. You will architect a distributed framework where foundational layout components propagate updates to dependent instances while allowing users selective adoption controls. This prompt evaluates your competence in data modeling, notification pipelines, version control architectures, and conflict resolution strategies. Unlock the comprehensive system design breakdown and expert architectural solutions with a paid subscription.
System Design for MLFigmaDesign Capital One's Online Banking Application
4/5Reported as a comprehensive Capital One interview task, this system design challenge asks you to architect a secure online banking platform supporting diverse accounts, complex money transfers, and real-time fraud detection. It evaluates your expertise in transactional consistency, regulatory compliance, and robust API security. The full problem description and model solution require a subscription.
System Design for MLCapital OneDesign Google Drive / Data Room
3/5Architect a secure document storage and management platform inspired by real-world system design interviews at Harvey. This challenge focuses heavily on establishing robust organization-level access control lists and handling scalable file handling for digital assets. You will learn how to design reliable storage hierarchies and security boundaries while addressing enterprise-grade data governance requirements. Gain access to the comprehensive system architecture guide and expert recommendations through our subscription.
System Design for MLHarveyDesign a URL Shortener (TinyURL)
2/5Tackle a classic Roblox system design interview by architecting a scalable URL shortening service capable of translating lengthy web links into compact, redirectable identifiers. This challenge tests your knowledge of unique ID generation schemes, collision resolution strategies, high-throughput caching, and read-heavy traffic management. Unlock the complete system architecture guide and expert design breakdown with a paid subscription.
System Design for MLRobloxLow-Latency Trading System Design
4/5Designing ultra-low latency infrastructure bridging remote trading floors and exchange-colocated hardware is a formidable architectural challenge reported at Optiver. This onsite system design discussion focuses heavily on optimizing TCP network stacks, minimizing packet serialization overhead, and structuring distributed messaging between geographically separated hubs. Candidates must address hardware-software trade-offs and robust network engineering principles under extreme time constraints. The complete architectural blueprint and professional solution review are restricted to paid subscribers.
System Design for MLOptiverGPU Cloud VM Manager - Provider-Agnostic CLI and Fleet Manager
4/5Build a unified, provider-agnostic infrastructure management tool capable of abstracting diverse cloud vendor interfaces into a single cohesive control plane. This challenging system design scenario evaluates your ability to normalize heterogeneous communication protocols, handle asynchronous operations across different APIs, and design extensible command-line interfaces for enterprise resource orchestration. You will need to carefully structure modular abstractions to accommodate varying resource models and operational states seamlessly. To view the complete architectural guidelines, integration patterns, and expert-crafted model solution, a subscription is required.
System Design for MLHeyGenTrending System / Top-K Hot Files
3/5This Figma system design interview question focuses on engineering a real-time analytics pipeline capable of ingesting massive view event streams to maintain a continuously updated global popularity ranking. Candidates must address challenges such as event deduplication, sliding window aggregations, space-efficient approximate counting algorithms, and resilient retrieval architectures that remain highly responsive under heavy read loads. Unlocking the complete design blueprint, architecture diagrams, and expert evaluation criteria requires an active platform subscription.
System Design for MLFigmaDesign an Amazon Locker System
3/5Design an object-oriented parcel pickup infrastructure inspired by real-world automated storage lockers. Featured in Amazon interviews, this system design exercise tests your ability to model physical inventory constraints, handle state transitions for packages and compartments of varying dimensions, and implement secure verification workflows like pickup codes. You will need to structure robust classes that manage successful deliveries, retrievals, and availability tracking. Subscribe now to view the comprehensive problem statement and reference architectural solution.
Coding & Leetcode-style QuestionsAmazonNotification System
3/5Design a massive-scale notification infrastructure capable of handling tens of millions of dispatches every minute across multiple delivery channels. Modeled after real-world Reddit engineering interviews, this system design challenge focuses on event-driven pipelines, transactional outbox patterns, preference resolution, and handling high-fanout celebrity scenarios without crashing downstream services. You will architect robust dispatch topologies and throttling mechanisms for hundreds of millions of active accounts. Full access to the comprehensive problem scope and reference architecture requires a paid subscription.
System Design for MLRedditLow-Latency Multi-Exchange Buy/Sell System Design
4/5Designed around real-world architecture challenges at Uniswap, this system design topic focuses on building an ultra-low latency transaction routing engine that compares prices across multiple digital asset exchanges. The scenario tests your expertise in handling asynchronous streams, scheduling timed operations reliably, ensuring robust error tolerance, and scaling horizontally under high market volatility. Explore the complete architectural breakdown and expert solutions with a subscription.
System Design for MLUniswapImplement Modify in an Order Management System (Codebase Extension)
3/5In this codebase extension task frequently reported at Hudson River Trading, candidates are tasked with modifying an existing C++ trading system architecture. You must analyze the established client-server interaction patterns for creating and terminating financial instruments, and then implement a brand new modification feature following the exact same conventions. This exercise tests your ability to read complex legacy code, understand networking message flows, and safely extend backend systems. Unlock the full codebase walkthrough and model implementation by securing a subscription.
Coding & Leetcode-style QuestionsHudson River TradingJob Scheduler System Design
3/5As a classic senior-level system design prompt from Robinhood, this question requires architects to design a fault-tolerant distributed task scheduling platform. You must ensure rigorous adherence to service level agreements, visibility into execution logs, and strict at-most-once job processing semantics. This challenge tests your knowledge of distributed coordination, idempotency patterns, and robust failure recovery mechanisms. Subscribe to review the comprehensive architectural blueprint, component interactions, and expert evaluation criteria.
System Design for MLRobinhoodDesign a Collaborative Spreadsheet (Google Sheets)
4/5Presented during an onsite engineering round at Salesforce, this system design challenge requires architecting a real-time collaborative workspace supporting simultaneous edits, formula calculations, and data persistence. It evaluates your expertise in handling distributed concurrency, state synchronization, and scalable backend data models. Uncover the comprehensive architectural guidelines and complete system breakdown with a subscription.
System Design for MLSalesforceMachine Coding: Train Ticket Booking System (API + Schema + OOP Design)
4/5This machine coding interview question, featured in hiring loops at Nielsen, asks you to build a comprehensive backend service for a railway reservation platform. You will be evaluated on your ability to establish clean object-oriented architecture, design robust relational database schemas, and structure intuitive application programming interfaces for searching journeys, verifying capacity, and executing secure reservations. Unlock the full architectural blueprint and reference implementation with a subscription.
Coding & Leetcode-style QuestionsNielsenRate Limiter Algorithm Design
3/5This NVIDIA system design round focuses on architecting robust rate-limiting mechanisms to manage traffic flow in distributed environments. Rather than drawing full infrastructure diagrams, the discussion centers on comparing algorithms like token buckets, leaky buckets, and sliding windows while addressing state storage and concurrency trade-offs. It assesses your infrastructure intuition and scalability trade-offs. The complete architectural guide and expert discussion notes require a subscription.
System Design for MLNVIDIADesign an Offline-First Sync Architecture
4/5Developing resilient client-side software that functions seamlessly without internet connectivity demands sophisticated synchronization patterns. This Mobile engineering interview prompt explores how to establish a local database as the primary source of truth while utilizing durable outbox queues and background workers to handle eventual consistency upon reconnection. The exercise targets state management, conflict resolution, and reliable mutation tracking under intermittent network conditions. Unlock the comprehensive architecture guide and implementation details with a subscription.
Mobile Engineering (Android/iOS)MobileTicketmaster-Style Seat Booking Design
3/5Explore this Tesla system design prompt focused on engineering a high-concurrency reservation pipeline similar to popular ticketing platforms. You will need to architect robust Application Programming Interfaces and frontend behaviors that gracefully handle heavy contention while preventing multiple users from claiming identical assets. The discussion emphasizes state management, concurrency control, and delivering a seamless user experience during high-demand events. Access the comprehensive design guide and expert recommendations by subscribing today.
System Design for MLTeslaRippling SDE-2 Loop: File System, Access Control, Payroll
4/5This extensive low-level design interview loop, frequently seen at Rippling, tests your ability to architect foundational enterprise modules from scratch. You will build an in-memory hierarchical file storage utility, implement granular permission structures for resource access control, and handle payroll logic within a unified object-oriented framework. The evaluation focuses on clean class hierarchies, encapsulation, and robust error management. Unlock the complete system specifications and professional implementation guide through our paid subscription.
Coding & Leetcode-style QuestionsRipplingPriority-Based Rate-Limited Web Crawler Design
3/5Asked in StackAdapt system design rounds, this challenge focuses on architecting an intelligent web scraper that balances strict per-host rate limits with priority-based task scheduling. It evaluates your ability to design robust distributed pipelines, manage priority queues, and coordinate throttling mechanisms effectively at scale. This scenario tests core architectural competencies required for large-scale data ingestion systems. To view the comprehensive architectural design and detailed model solution, a subscription is required.
System Design for MLStackAdaptDesign an Async Job / Task System
3/5In this system design interview question from Salesforce, candidates are tasked with engineering a robust asynchronous task execution platform from scratch. The discussion covers designing clean public interfaces, managing job state transitions, implementing reliable retry policies, ensuring idempotency, and selecting appropriate storage layers. It evaluates your capacity to conceptualize and explain a complete distributed background processing service end-to-end. Gain access to the full architectural guidelines and expert model design by purchasing a subscription.
System Design for MLSalesforceSystem Design for Full Stack Applications
3/5Prepare for architectural discussions centered on building robust web applications by exploring a reported interview question from Zoox. This exercise focuses on orchestrating seamless communication between client and server layers while managing heavy data loads and scaling write operations effectively. Candidates will examine strategies for caching layer optimization and client-side rendering refinements to maintain optimal responsiveness under heavy user activity. To view the complete architectural breakdown and expert-crafted solutions, unlock the full problem guide today.
System Design for MLZooxSystem Design — Event Ingestion + Top-K Aggregation
3/5Scaling a single-server architecture to handle massive request volumes while simultaneously tracking frequent occurrences is a common system design challenge frequently discussed in Oracle interviews. This scenario requires you to transition a basic event-reporting endpoint into a distributed, high-throughput pipeline capable of computing top-K aggregations efficiently in real-time. The evaluation focuses on your ability to address bottlenecks, design data streaming pipelines, and choose appropriate distributed data structures. Gain complete access to the comprehensive problem guide and expert architectural solutions by subscribing.
System Design for MLOracleDesigning Nextdoor Newsfeed User Interaction and Real-Time Feed System
4/5In this architecture challenge frequently asked at Nextdoor, you must design a scalable social media stream distribution platform supporting user follows, post creation, and threaded comments. The problem tests your knowledge of managing real-time data delivery, fan-out strategies, and backend component interaction at scale. Unlock the comprehensive architecture guide and design blueprints by subscribing today.
System Design for MLNextdoorReal-Time Fraud Detection System
3/5In this system design challenge frequently reported at NVIDIA, candidates are tasked with architecting a low-latency infrastructure capable of evaluating millions of financial transactions in real time. The scenario tests your ability to maintain ultra-fast decision speeds under heavy throughput, handle massive traffic surges during peak shopping events, and execute zero-downtime updates for machine learning models. You will explore distributed caching, feature stores, and stream processing architectures. To view the complete architectural blueprint and expert breakdown, a subscription is required.
System Design for MLNVIDIADesign a Customer Review Page with AI Summarization
3/5Designing modern, feature-rich user-facing interfaces with integrated generative capabilities is a standard engineering management system design challenge, as reported in interviews at DoorDash. This exercise evaluates your ability to architect a scalable customer review platform complete with multimedia handling, flexible filtering, infinite scrolling, and automated sentiment distillation running on a regular cadence. Leaders must carefully balance infrastructure costs, API latency, and algorithmic freshness while scoping trade-offs effectively. Unlocking the complete architectural guide and expert design breakdown requires an active subscription.
System Design for MLDoorDashUniversity Course Platform: User Auth, Courses, Favorites API & DB Design
3/5Tackle a comprehensive backend and database architecture task modeled after real-world Verse Medical technical evaluations. This project requires constructing a modern web service architecture complete with secure authentication mechanisms, catalog browsing features, and persistent user preference tracking. Engineers will practice designing clean RESTful endpoints, structuring robust relational database schemas, and wiring up full-stack workflows. It serves as an excellent blueprint for building scalable, production-ready web applications from scratch. Unlock your subscription today to review the complete architectural blueprints and reference implementation.
System Design for MLVerse MedicalDesign an Analytics Metrics Dashboard for ChatGPT / LLM Service
3/5Prepare for advanced backend system design interviews with this challenging Salesforce architectural scenario focused on large-scale telemetry ingestion. Candidates are tasked with architecting a robust data pipeline capable of processing massive streams of high-frequency logging events from an artificial intelligence conversational service. The core focus centers on efficient aggregation strategies to compute crucial performance indicators like latency distributions, active usage statistics, and throughput metrics reliably. Master distributed data processing patterns and scalable storage trade-offs by exploring the comprehensive system design guide. Access the full architectural breakdown and expert solution by subscribing today.
System Design for MLSalesforceFrontend System Design: Infinite-Scroll Image Feed
3/5This Roblox system design challenge focuses on building a robust, high-performance infinite-scroll image feed on the client side using a fixed backend API. The evaluation centers heavily on maintaining smooth scroll mechanics, providing seamless offline capabilities, and ensuring thorough code testability. Candidates must demonstrate how to architect a modern frontend application that handles network constraints and memory management gracefully. Access the complete architectural review and expert guidance by subscribing today.
System Design for MLRobloxDesign a Real-Time Instant Messaging Application with Media Support
3/5Building a scalable instant messaging platform requires careful consideration of real-time communication protocols, robust user authentication, and persistent message storage for both individual and group chats. In this architectural interview question reported by Visa, candidates are asked to design a comprehensive system capable of handling high message throughput and diverse media attachments like images and files. The full system blueprint and detailed design breakdown require a subscription to unlock.
System Design for MLVisaDesign Ticketmaster - Event Booking and Seat Reservation
4/5Creating a high-traffic ticketing platform demands robust concurrency controls to prevent double-booking during massive flash sales while maintaining rapid search and browsing capabilities. This system design interview question reported by Walmart Labs evaluates your ability to architect a reliable seat reservation pipeline that handles extreme read-to-write ratios and traffic spikes without failing. The comprehensive architectural overview and recommended implementation strategies require a subscription.
System Design for MLWalmart LabsDesign a File-Sharing Permission Control System
4/5In this classic system design question featured by Amazon, you are tasked with architecting a robust file-sharing permission control platform. The evaluation focuses on your capability to handle read-heavy traffic patterns, define clear consistency models for access grants and revocations, and manage hierarchical folder permissions efficiently. Preparing for this architecture discussion will improve your distributed systems expertise. Unlock the complete system design guide, trade-off analysis, and expert solution with a paid subscription.
System Design for MLAmazonDesign a Notification System with Preferences and Fan-out
3/5Encountered during a Roblox system design interview, this challenge focuses on architecting a robust notification framework capable of handling user preferences, complex event fan-out, multi-channel delivery, and reliable retries. You will need to address distributed systems concerns such as event deduplication, persistent action items, cross-device state synchronization, and scalable badge count endpoints. Designing this architecture evaluates your capability to build resilient, high-throughput communication pipelines at scale. Unlock the complete system blueprint and architectural guidelines by getting a subscription.
System Design for MLRobloxDesign a Notification / Alert Fan-Out System
4/5Explore a complex system design interview challenge reported at DoorDash, focusing on building a high-volume notification fan-out architecture. You will learn how to process incoming alerts from multiple upstream microservices, evaluate user preferences across various communication channels, enforce strict delivery rate limits, and respect opt-out settings at scale. This scenario tests your mastery of event-driven messaging, database modeling, and throughput throttling under heavy workloads. The full problem and model solution require a subscription.
System Design for MLDoorDashAI-Assisted Project Round (Take-Home Style)
4/5Reported as an innovative Meta assessment round, this practical take-home challenge tests your ability to collaborate with modern AI tools to build, extend, and defend a full-stack content moderation feature. You will be evaluated on your coding velocity, architectural decisions, and how effectively you handle live extensions during the walkthrough phase. To unlock the complete project prompt, evaluation rubrics, and model implementation details, a paid subscription is required.
Coding & Leetcode-style QuestionsMetaSubreddit Live Chat System
3/5This Reddit system design problem asks you to architect a real-time chat infrastructure capable of supporting massive subreddits during high-traffic viral events. You must address low-latency message fan-out, connection management strategies, historical message retrieval, and basic moderation controls under extreme concurrency scales. The exercise tests large-scale distributed systems principles and trade-off analysis. Reviewing the complete architectural blueprint and expert solution requires a subscription.
System Design for MLRedditDesign Order Matching System
4/5Reported as a rigorous Da Vinci Trading C++ challenge, this problem requires the construction of an ultra-fast order matching engine. You must implement core financial exchange operations including adding, cancelling, and querying buy and sell bids while maintaining strict performance thresholds under intense concurrency. The exercise evaluates advanced data structures, concurrency control, and low-latency optimization. The full architectural prompt and model solution require a subscription.
Coding & Leetcode-style QuestionsDa Vinci TradingDesign a Real-Time Metrics Monitoring System
4/5Design a massive telemetry ingestion and alerting framework based on real-world infrastructure challenges at DoorDash. This architectural problem requires you to build a system capable of processing millions of data points per second, providing rapid dashboard querying capabilities, and implementing tiered storage retention policies for hot and cold historical logs. Scalability, fault tolerance, and low-latency metrics processing are paramount. The full problem and model solution require a subscription.
System Design for MLDoorDashDesign a Delayed Virtual-Currency Payment Scheduler
4/5This architectural challenge, frequently featured in Roblox technical interviews, explores the creation of a delayed transfer mechanism for digital currencies. Candidates must design an infrastructure capable of handling high-volume scheduling while guaranteeing reliable, single-occurrence processing amidst potential system failures. You will examine strategies for maintaining precision when massive transaction queues trigger simultaneously. Access to the comprehensive guide and expert architectural blueprints requires an active subscription.
System Design for MLRobloxReal-Time Comment Threads (FigJam / Figma)
3/5This Figma system design interview prompt focuses on architecting a low-latency collaborative commenting feature for an infinite canvas application. It evaluates your expertise in data modeling, real-time synchronization protocols, and scalable backend infrastructure. Access the complete system blueprint and architectural breakdown with a paid subscription.
System Design for MLFigmaProject Deep Dive (AI Engineer Loop)
3/5Prepare for the project deep dive round in the Salesforce artificial intelligence engineering interview loop by reviewing how to structure your past architectural decisions, technical trade-offs, and scaling challenges. This assessment evaluates your ability to communicate complex system design choices clearly using visual aids and comprehensive technical breakdowns. Discovering strategic ways to present your engineering background can greatly improve your hiring odds. Access to the full problem breakdown and expert model solutions requires a subscription.
Coding & Leetcode-style QuestionsSalesforceDesign an Expedia-Style Hotel Reservation System
4/5This architectural challenge, reported during a Ramp interview, focuses on building a travel aggregator akin to Expedia that bridges multiple external hotel inventory endpoints. Candidates must tackle the core architectural dilemma of balancing rapid response read caching with strict inventory accuracy to prevent double bookings. The evaluation centers on designing distributed data synchronization strategies and managing high-throughput reservation pipelines under tight latency constraints. Access to the comprehensive system design breakdown and expert reference architecture requires an active subscription.
System Design for MLRampDesign a High-Throughput Distributed Cache
4/5During a Salesforce system design interview, candidates are challenged to architect an ultra-fast, memory-based caching tier capable of absorbing massive concurrent read volumes in front of a primary database. This problem evaluates advanced architectural concepts including memory eviction strategies, data consistency, sharding techniques, and hot key mitigation under heavy loads. Reviewing the detailed system architecture and expert commentary requires an active subscription.
System Design for MLSalesforceCredit Card Service with Points Earning and Redemption System
3/5Designing modern financial technology features requires scalable architectures capable of handling real-time transaction processing and loyalty balance updates, as frequently requested in system design rounds at Brex. This challenge focuses on building a robust backend service that seamlessly awards reward units based on user spending while supporting instant redemptions. You must address high throughput, concurrency issues, database consistency, and precise arithmetic mapping for monetary conversions. Structuring a fault-tolerant and highly available infrastructure is vital for passing this architectural evaluation. Unlocking the comprehensive system design blueprint and expert review requires an active subscription.
System Design for MLBrexConcurrent User Management System Architecture Design
3/5Presented as a system design inquiry from Visa, this prompt focuses on engineering a scalable platform capable of handling high-concurrency user management operations like creation, modification, and retrieval. The exercise assesses architectural planning, thread safety, and techniques for maintaining strict data consistency across distributed components. Candidates must outline component responsibilities and data flow diagrams to manage parallel read and write requests effectively. The complete design walkthrough and structural solutions are available exclusively to subscribers.
System Design for MLVisaCoffee Ordering System Design
3/5Used during technical evaluations at Salesforce, this system design prompt asks candidates to construct an end-to-end beverage ordering and management platform. The interview scenario prioritizes relational database modeling, efficient query design for complex business metrics, and reliable real-time status notification pipelines for customers and vendors. Architects must address tricky edge cases and lifecycle state transitions within strict time limits. Unlocking the complete architectural design and database schemas requires an active subscription.
System Design for MLSalesforceL6 Staff System Design Loop (Google)
5/5Prepare for senior technical evaluations with this comprehensive breakdown of a Google L6 Staff system design onsite loop. Focusing on both infrastructure and product scenarios, this guide examines complex architectural challenges ranging from global real-time notifications to scalable distributed rate limiters. You will learn how to structure high-level responses, address trade-offs effectively, and understand the specific evaluation criteria that separate L5 candidates from Staff engineers. Access the full architectural breakdown, detailed evaluations, and expert strategies by subscribing today.
System Design for MLGoogleDesign State-Wide Temperature Sensor Ingestion
3/5This Walmart Labs machine learning system design question challenges candidates to architect a scalable pipeline capable of ingesting high-frequency temperature telemetry across a vast geographic area. The exercise evaluates your ability to handle massive data streams while simultaneously servicing real-time analytical queries, such as locating extreme values and rendering spatial heat maps efficiently. Access the complete problem description and expert model architecture with a subscription.
System Design for MLWalmart LabsDesign a Release Deployment Workflow with Staged Rollout
3/5Examine a sophisticated infrastructure design scenario featured in technical assessments at Roblox, focusing on the safe delivery of software updates across distributed environments. This challenge examines your knowledge of progressive rollout strategies, automated health monitoring, rapid rollback mechanisms, and cross-region synchronization. You will learn how to architect resilient deployment pipelines that minimize downtime and mitigate production risks during critical service releases. Master industry-standard reliability patterns and fault-tolerant system design principles for modern cloud applications. Unlock the comprehensive architecture guide and expert solution by securing a subscription.
System Design for MLRobloxSnap Story or Spotlight Feed Backend
3/5Asked during Snapchat system design discussions, this prompt focuses on engineering the robust backend infrastructure required to serve high-velocity short-form media and ephemeral stories. You will explore critical architectural pillars including media ingestion pipelines, privacy enforcement, offline synchronization, and low-latency pagination for endless feeds. This scenario tests your capability to balance storage economics, caching strategies, and ranking freshness at massive global scale. Access the comprehensive architectural design guide and expert breakdown with a subscription.
System Design for MLSnapchat
Studied alongside
system-design interview FAQ
- How many system-design interview questions are there?
- 89 reported questions, mostly System Design for ML.
- Which companies ask system-design questions?
- Roblox (8), Salesforce (7), Reddit (6), Figma (6), Anthropic (5), Amazon (5), OpenAI (4), Walmart Labs (4).
- How hard are system-design questions?
- They average 3.5 out of 5: 2 at 2/5, 44 at 3/5, 42 at 4/5, 1 at 5/5.