# Uber Interview Guide 2026: Dispatch Systems, Geospatial Algorithms, and Marketplace Engineering

Source: https://www.techinterview.org/post/3233460273/uber-interview-guide-2026-dispatch-systems-geospatial-algorithms-and-marketplace-engineering/
Updated: 2026-07-05 · techinterview.org

## Uber Interview Guide 2026: Marketplace Systems, Real-Time Dispatch, and Distributed Engineering

Uber's engineering interviews reflect the company's core challenges: real-time geospatial matching, surge pricing algorithms, and distributed systems at massive scale. This guide covers what to expect across software engineer levels, from L3 to L6.

## The Uber Interview Process

The typical Uber interview pipeline for SWE roles:

- **Recruiter screen** (30 min) — background, motivation, timeline

- **Technical phone screen** (1 hour) — one medium/hard coding problem on a shared editor

- **Virtual onsite** (4–5 rounds):

  2× coding rounds (data structures, algorithms)

  - 1× system design round

  - 1× Uber-specific domain round (marketplace, maps, payments)

  - 1× behavioral round (Uber leadership principles)

- **Hiring committee review** ? offer

Uber recruiters will tell you the level band upfront. L3 (junior) focuses on fundamentals; L5+ expects system design depth and cross-functional thinking about tradeoffs.

## Core Data Structures and Algorithms

Uber interviews weight **graphs and geospatial problems** heavily. Expect BFS/DFS, shortest path (Dijkstra), and spatial indexing (quadtrees, geohashing).

### Geohashing and Spatial Indexing


```
import heapq
from collections import defaultdict

def geohash_encode(lat: float, lng: float, precision: int = 6) -> str:
    """Encode lat/lng into a geohash string."""
    BASE32 = '0123456789bcdefghjkmnpqrstuvwxyz'
    lat_range = [-90.0, 90.0]
    lng_range = [-180.0, 180.0]

    bits = []
    is_lng = True  # alternate between lng and lat

    for _ in range(precision * 5):
        if is_lng:
            mid = (lng_range[0] + lng_range[1]) / 2
            if lng >= mid:
                bits.append(1)
                lng_range[0] = mid
            else:
                bits.append(0)
                lng_range[1] = mid
        else:
            mid = (lat_range[0] + lat_range[1]) / 2
            if lat >= mid:
                bits.append(1)
                lat_range[0] = mid
            else:
                bits.append(0)
                lat_range[1] = mid
        is_lng = not is_lng

    result = []
    for i in range(0, len(bits), 5):
        idx = int(''.join(str(b) for b in bits[i:i+5]), 2)
        result.append(BASE32[idx])

    return ''.join(result)


def find_drivers_in_radius(
    driver_locations: dict,  # driver_id -> (lat, lng)
    rider_lat: float,
    rider_lng: float,
    radius_km: float
) -> list:
    """
    Find nearby drivers using geohash prefix matching.
    Real Uber uses S2 geometry library for this.

    Time: O(D * P) where D=drivers, P=precision
    Space: O(D)
    """
    from math import radians, cos, sin, asin, sqrt

    def haversine(lat1, lng1, lat2, lng2):
        R = 6371  # Earth radius in km
        dlat = radians(lat2 - lat1)
        dlng = radians(lng2 - lng1)
        a = sin(dlat/2)**2 + cos(radians(lat1)) * cos(radians(lat2)) * sin(dlng/2)**2
        return 2 * R * asin(sqrt(a))

    rider_hash = geohash_encode(rider_lat, rider_lng, precision=5)
    prefix = rider_hash[:4]  # ~20km cells at precision 4

    nearby = []
    for driver_id, (dlat, dlng) in driver_locations.items():
        dhash = geohash_encode(dlat, dlng, precision=5)
        # Quick filter: geohash prefix match
        if dhash.startswith(prefix) or True:  # fallback to haversine
            dist = haversine(rider_lat, rider_lng, dlat, dlng)
            if dist <= radius_km:
                nearby.append((dist, driver_id))

    nearby.sort()
    return [(driver_id, dist) for dist, driver_id in nearby]
```


### Surge Pricing with Reinforcement Learning (Conceptual)


```
class SurgePricingEngine:
    """
    Simplified surge pricing model.
    Real Uber uses ML models trained on historical supply/demand.

    Key insight: surge = f(demand_rate / supply_rate)
    Fare = base_fare * surge_multiplier
    """

    def __init__(self):
        self.surge_table = [
            (1.0, 1.0),   # demand/supply <= 1.0 -> 1.0x surge
            (1.5, 1.25),
            (2.0, 1.5),
            (2.5, 1.75),
            (3.0, 2.0),
            (4.0, 2.5),
            (float('inf'), 3.0),
        ]

    def compute_surge(
        self,
        active_requests: int,
        available_drivers: int,
        eta_minutes: float
    ) -> float:
        """
        Compute surge multiplier based on supply/demand ratio.
        Also factors in ETA (proxy for effective supply shortage).

        Time: O(1)
        """
        if available_drivers == 0:
            return 3.0  # cap at 3x

        ratio = active_requests / available_drivers
        eta_factor = max(1.0, eta_minutes / 5.0)  # penalize long ETAs
        adjusted_ratio = ratio * eta_factor

        for threshold, multiplier in self.surge_table:
            if adjusted_ratio <= threshold:
                return multiplier

        return 3.0  # cap at 3x

    def estimate_fare(
        self,
        base_fare: float,
        distance_km: float,
        duration_min: float,
        surge: float
    ) -> float:
        rate_per_km = 1.20
        rate_per_min = 0.25
        booking_fee = 1.75

        trip_cost = base_fare + (distance_km * rate_per_km) + (duration_min * rate_per_min)
        return (trip_cost * surge) + booking_fee
```


## System Design: Uber Dispatch System

A common Uber system design question: *"Design the Uber real-time driver dispatch system."*

### Requirements

- Match riders to nearest available driver within 1–2 seconds

- Handle 1M+ concurrent users, 500K active drivers

- Global deployment across 70+ countries

- Maintain location freshness (drivers update every 4 seconds)

### Architecture


```
Rider App / Driver App
        |
   [Load Balancer]
        |
  [API Gateway] ---- Auth / Rate Limiting
        |
   [WebSocket Gateway] (maintains persistent connections)
        |
   [Dispatch Service]
     |         |
[Location    [Trip
 Service]    Service]
     |         |
 [Redis Geo]  [Postgres]
 (driver locs) (trip state)
     |
 [Kafka] ---- [ML Matching Service]
              (optimal assignment)
```


### Key Design Decisions

- **Location storage**: Redis GEOADD/GEORADIUS — O(N+log M) spatial queries, sub-millisecond for 500K drivers

- **Matching algorithm**: Hungarian algorithm for batch matching; greedy nearest-driver for real-time

- **Consistency**: Location data is eventually consistent (acceptable); trip state uses strong consistency (Postgres with serializable transactions)

- **Sharding**: By geographic region (city/country) — keeps latency local

- **Driver heartbeat**: Drivers send GPS pings every 4s; TTL-based eviction removes stale entries

## Uber-Specific Domain Questions

Uber interviewers often ask about:

- **Double-charging prevention**: Idempotency keys on trip creation; deduplication in payment service

- **Ghost drivers**: Driver app crashes but GPS still pings; solved with heartbeat + explicit "accept/reject" state machine

- **ETA accuracy**: Traffic-aware routing (OSRM), historical trip data, time-of-day features

- **Fraud detection**: GPS spoofing detection via accelerometer correlation, speed plausibility checks

## Behavioral: Uber Leadership Principles

Uber's core values as of 2026 include: *Build with Heart, Reimagine, Think Deeply, Plan for the Long Term, Make Big Bold Bets*.

Prepare STAR stories for:

- A time you had to make a decision with incomplete data

- How you handled a production incident

- A time you changed direction based on new information

- Conflict resolution with a cross-functional team

## Compensation (L3–L6, US, 2025 data)

| Level | Title | Base | Total Comp |
| --- | --- | --- | --- |
| L3 | SWE | $155–175K | $190–230K |
| L4 | SWE II | $175–200K | $240–300K |
| L5 | Senior SWE | $200–240K | $320–420K |
| L6 | Staff SWE | $240–280K | $450–600K+ |

Uber refreshes RSUs annually and has a 4-year vest (1-year cliff, quarterly after). Negotiate base + sign-on; refresh grants are merit-based.

## Tips for Uber Interviews

- **Know Uber's products**: Rides, Eats, Freight, Autonomous. Domain context shows genuine interest

- **Practice geospatial problems**: LeetCode 973 (K Closest Points), 1584 (Min Cost to Connect All Points)

- **Real-time systems depth**: WebSockets vs SSE vs polling; when to use each

- **Concurrency**: Race conditions in booking (double assignment); distributed locks with TTL

- **Internationalization**: Phone number formats, currency, regulatory compliance across markets

*Practice problems: LeetCode 743 (Network Delay Time), 787 (Cheapest Flights), 1334 (Find the City), 1609 (Even Odd Tree).*

## Related System Design Interview Questions

Practice these system design problems that appear in Uber  interviews:

- [System Design: Ride-Sharing App (Uber / Lyft)](https://www.techinterview.org/post/3233459991/design-ride-sharing-app/)

- [Design Google Maps / Navigation System](https://www.techinterview.org/post/3233463537/system-design-google-maps-navigation/)

- [System Design: Notification System (Push, Email, SMS)](https://www.techinterview.org/post/3233460452/system-design-notification-system/)

- [Design a Payment System](https://www.techinterview.org/post/3233463538/system-design-payment-system/)

- [System Design: Distributed Task Scheduler](https://www.techinterview.org/post/3233460403/system-design-distributed-task-scheduler/)

- [System Design: Twitter/X Timeline](https://www.techinterview.org/post/3233462958/system-design-social-media-feed-system/)

## Related Company Interview Guides

- [DoorDash Interview Guide](https://www.techinterview.org/post/3233459921/doordash-interview/)

- [Cloudflare Interview Guide 2026: Networking, Edge Computing, and CDN Design](https://www.techinterview.org/post/3233460270/cloudflare-interview-guide-2026-networking-edge-computing-and-cdn-design/)

- [Vercel Interview Guide 2026: Edge Computing, Next.js Infrastructure, and Frontend Performance](https://www.techinterview.org/post/3233460276/vercel-interview-guide-2026-edge-computing-next-js-infrastructure-and-frontend-performance/)

- [Databricks Interview Guide 2026: Spark Internals, Delta Lake, and Lakehouse Architecture](https://www.techinterview.org/post/3233460280/databricks-interview-guide-2026-spark-internals-delta-lake-and-lakehouse-architecture/)

- [Meta Interview Guide 2026: Facebook, Instagram, WhatsApp Engineering](https://www.techinterview.org/post/3233460272/meta-interview-guide-2026-facebook-instagram-whatsapp-engineering/)

- [Coinbase Interview Guide](https://www.techinterview.org/post/3233459920/coinbase-interview/)

- [System Design: Distributed Cache (Redis vs Memcached)](/post/3233460434/system-design-distributed-cache/)

- [System Design: Apache Kafka Architecture](/post/3233460433/system-design-apache-kafka/)

- [System Design: Notification System (Push, Email, SMS)](/post/3233460452/system-design-notification-system/)

- [System Design: Rate Limiter](/post/3233460467/system-design-rate-limiter/)

- [System Design: Ride-Sharing App (Uber/Lyft)](/post/3233460483/system-design-ride-sharing-uber-lyft/)

- [System Design: Food Delivery App (DoorDash/UberEats)](/post/3233460523/system-design-food-delivery/)

- [System Design: Location-Based Service (Yelp / Google Maps)](/post/3233460583/system-design-location-based-service/)

- [System Design: Microservices Architecture Patterns](/post/3233460664/system-design-microservices-patterns/)

- [System Design: Data Pipeline and ETL System (Airflow / Spark)](/post/3233460662/system-design-data-pipeline/)

- [System Design: Distributed Task Queue (Celery / SQS / Sidekiq)](/post/3233460795/system-design-task-queue/)

- [System Design: E-Commerce Platform (Amazon)](/post/3233460828/system-design-ecommerce/)

- [System Design: Fraud Detection System](/post/3233460837/system-design-fraud-detection/)

- [System Design: Ride-Sharing App (Uber / Lyft)](/post/3233459991/design-ride-sharing-app/)

- [System Design: Event Sourcing and CQRS](/post/3233460885/system-design-event-sourcing-cqrs/)

- [System Design: Service Mesh and Microservice Communication](/post/3233460926/system-design-service-mesh/)

- [System Design: Two-Phase Commit and Distributed Transactions](/post/3233460938/system-design-two-phase-commit/)

- [System Design: Log Aggregation and Observability Pipeline](/post/3233460968/system-design-log-aggregation/)

- [System Design: API Rate Limiting and Throttling](/post/3233460984/system-design-rate-limiting/)

- [System Design: Search Engine and Elasticsearch Internals](/post/3233460402/system-design-search-engine/)

- [System Design: Database Indexing and Query Optimization](/post/3233461010/system-design-database-indexing/)

- [System Design: Notification System at Scale](/post/3233461021/system-design-notification-system-scale/)

*Explore all our [company interview guides](https://www.techinterview.org/category/company-guides/) covering FAANG, startups, and high-growth tech companies.*

Related system design: [System Design Interview: Design a Hotel Booking System (Airbnb)](https://techinterview.org/system-design-hotel-booking-airbnb/)

Related system design: [Monotonic Stack Patterns: Complete Interview Guide (2025)](https://techinterview.org/monotonic-stack-patterns-interview/)

Related system design: [System Design Interview: API Rate Limiter Deep Dive (All Algorithms)](https://techinterview.org/api-rate-limiter-system-design-deep-dive/)

Related system design: [Low-Level Design: Library Management System (OOP Interview)](https://techinterview.org/low-level-design-library-management-system/)

Related system design: [System Design Interview: Design a Distributed Messaging System (Kafka)](https://techinterview.org/system-design-distributed-messaging-kafka/)

Related system design: [String Manipulation Interview Patterns: Complete Guide (2025)](https://techinterview.org/string-manipulation-interview-patterns/)

See also: [System Design Fundamentals: CAP Theorem, Consistency, and Replication](https://techinterview.org/system-design-fundamentals-cap-theorem/)

See also: [System Design Interview: Design a Maps and Navigation System (Google Maps)](https://techinterview.org/system-design-maps-navigation-google-maps/)

See also: [Object-Oriented Design Patterns for Coding Interviews](https://techinterview.org/object-oriented-design-patterns-interviews/)

- [System Design Interview: Design a Metrics and Monitoring System (Prometheus)](https://techinterview.org/system-design-metrics-monitoring-prometheus/)

- [System Design Interview: Design a Distributed File System (HDFS / GFS)](https://techinterview.org/system-design-distributed-file-system-hdfs-gfs/)

- [System Design Interview: Design an Object Storage System (Amazon S3)](https://techinterview.org/system-design-object-storage-s3/)

- [System Design Interview: Design an E-commerce Checkout System](https://techinterview.org/system-design-ecommerce-checkout-system/)

- [Sorting Algorithm Interview Patterns: Quicksort, Merge Sort, Counting Sort, Custom Sort](https://techinterview.org/sorting-algorithm-interview-patterns/)

- [System Design Interview: Design a Hotel / Booking Reservation System](https://techinterview.org/system-design-hotel-booking-reservation-system/)

- [System Design Interview: Design a Key-Value Store (Redis / DynamoDB)](https://techinterview.org/system-design-key-value-store-redis-dynamodb/)

- [System Design Interview: Design a Stock Exchange / Trading System](https://techinterview.org/system-design-stock-exchange-trading-system/)

- [System Design Interview: Design a Database Connection Pool](https://techinterview.org/system-design-database-connection-pool/)

- [Tree Interview Patterns: DFS, BFS, LCA, BST, Tree DP, Serialization](https://techinterview.org/tree-interview-patterns/)

- [System Design Interview: Microservices and Service Mesh (Envoy, Istio, mTLS)](https://techinterview.org/system-design-microservices-service-mesh/)

- [System Design Interview: Design a Location-Based Services System (Yelp/Google Maps)](https://techinterview.org/system-design-location-based-services-geospatial/)

- [1D Dynamic Programming Interview Patterns: House Robber, LIS, Coin Change, Word Break](https://techinterview.org/dynamic-programming-1d-interview-patterns/)

- [System Design Interview: Design a Task Scheduling System (Cron/Airflow)](https://techinterview.org/system-design-task-scheduling-system/)

- [Graph BFS and DFS Interview Patterns: Islands, Shortest Path, Cycle Detection](https://techinterview.org/graph-bfs-dfs-interview-patterns/)

- [Trie (Prefix Tree) Interview Patterns: Autocomplete, Word Search, Wildcard](https://techinterview.org/trie-prefix-tree-interview-patterns/)

- [System Design Interview: Design a Configuration Management System (etcd/Consul)](https://techinterview.org/system-design-configuration-management-system/)

- [System Design Interview: Design a Fraud Detection System](https://techinterview.org/system-design-fraud-detection-system/)

- [System Design Interview: Design a Digital Wallet and Payment System](https://techinterview.org/system-design-digital-wallet-payment-system/)

- [Two Pointers and Sliding Window Interview Patterns](https://techinterview.org/two-pointers-sliding-window-interview-patterns/)

- [Segment Tree and Fenwick Tree Interview Patterns: Range Queries and Updates](https://techinterview.org/segment-tree-fenwick-tree-interview-patterns/)

- [System Design Interview: Design a Ride-Sharing App (Uber/Lyft Dispatch)](https://techinterview.org/system-design-ride-sharing-app-uber-lyft/)

- [System Design Interview: Design a Hotel Reservation System](https://techinterview.org/system-design-hotel-reservation-system/)

- [Backtracking Algorithm Interview Patterns: Subsets, Permutations, N-Queens, Word Search](https://techinterview.org/backtracking-algorithm-interview-patterns/)

- [System Design Interview: Design a Fleet Management and Vehicle Tracking System](https://techinterview.org/system-design-fleet-management-vehicle-tracking/)

- [Advanced Graph Algorithms: SCC, Articulation Points, Dijkstra, MST](https://techinterview.org/advanced-graph-algorithms-interview/)

- [System Design Interview: Design an Inventory Management System (Amazon/Shopify)](https://techinterview.org/system-design-inventory-management-system/)

- [Shortest Path Algorithm Interview Patterns: Dijkstra, Bellman-Ford, Floyd-Warshall](https://techinterview.org/shortest-path-algorithm-interview-patterns/)

- [System Design Interview: Design a Healthcare Appointment Booking System](https://techinterview.org/system-design-appointment-booking-system/)

- [System Design Interview: Design a Distributed Lock and Leader Election System](https://techinterview.org/system-design-distributed-lock-leader-election/)

- [System Design Interview: Design a Typeahead / Search Suggestion System](https://techinterview.org/system-design-typeahead-search-suggestions/)

- [Advanced Dynamic Programming Patterns: State Machine, Interval DP, Tree DP, Bitmask](https://techinterview.org/advanced-dynamic-programming-patterns/)

- [System Design Interview: Design a Distributed Message Queue (SQS / RabbitMQ)](https://techinterview.org/system-design-distributed-message-queue/)

- [String Algorithm Interview Patterns: Sliding Window, Palindromes, Anagrams, Rolling Hash](https://techinterview.org/string-algorithm-interview-patterns/)

- [Union-Find (Disjoint Set Union) Interview Patterns: Connected Components, Kruskal's MST](https://techinterview.org/union-find-disjoint-set-interview-patterns/)

- [Greedy Algorithm Interview Patterns: Intervals, Jump Game, Task Scheduler](https://techinterview.org/greedy-algorithm-interview-patterns/)

- [System Design Interview: Design a Streaming Data Pipeline (Kafka + Flink)](https://techinterview.org/system-design-streaming-data-pipeline/)

- [System Design Interview: Design a Geospatial Service (Nearby Drivers/Places)](https://techinterview.org/system-design-geospatial-service/)

- [Recursion and Memoization Interview Patterns: LCS, Edit Distance, Word Break](https://techinterview.org/recursion-memoization-interview-patterns/)

- [System Design Interview: Design an E-Commerce Platform (Amazon / Shopify)](https://techinterview.org/system-design-ecommerce-platform/)

- [System Design Interview: Distributed Transactions, 2PC, and the Saga Pattern](https://techinterview.org/distributed-transactions-saga-pattern/)

- [Heap and Priority Queue Interview Patterns: Top K, Median Stream, Merge K Lists](https://techinterview.org/heap-priority-queue-interview-patterns/)

- [System Design Interview: Design a Feature Flag System (LaunchDarkly)](https://techinterview.org/system-design-feature-flag/)

- [Two Pointers and Sliding Window Interview Patterns](https://techinterview.org/two-pointers-sliding-window-patterns/)

- [System Design Interview: Design a Hotel Booking System (Booking.com / Airbnb)](https://techinterview.org/system-design-hotel-booking/)

- [System Design Interview: Design a Metrics and Monitoring System (Datadog/Prometheus)](https://techinterview.org/system-design-metrics-monitoring/)

- [Graph Algorithm Interview Patterns: BFS, DFS, Dijkstra, Topological Sort](https://techinterview.org/graph-algorithm-interview-patterns/)

- [System Design Interview: Design an API Gateway](https://techinterview.org/system-design-api-gateway/)

- [System Design Interview: Design a Search Autocomplete System (Typeahead)](https://techinterview.org/system-design-search-autocomplete/)

- [System Design Interview: Design a Distributed Job Scheduler (Airflow/Celery)](https://techinterview.org/system-design-distributed-job-scheduler/)

- [Trie and String Matching Interview Patterns: Autocomplete, KMP, Rabin-Karp](https://techinterview.org/trie-string-matching-interview-patterns/)

- [Amortized Analysis and Complexity Patterns: Dynamic Arrays, Union-Find, Monotonic Deque](https://techinterview.org/amortized-analysis-complexity-patterns/)

- [System Design Interview: Design a Distributed Key-Value Store (DynamoDB/Cassandra)](https://techinterview.org/system-design-distributed-key-value-store/)

- [Minimum Spanning Tree: Kruskal's and Prim's Algorithm Interview Guide](https://techinterview.org/minimum-spanning-tree-kruskal-prim/)

- [System Design Interview: Design a Distributed Lock Service](https://techinterview.org/system-design-distributed-lock/)

- [Dynamic Programming Patterns II: Knapsack, LCS, Edit Distance & State Machines](https://techinterview.org/dynamic-programming-patterns-2/)

- [OOD Interview Patterns: LRU Cache, Parking Lot & Elevator System](https://techinterview.org/object-oriented-design-interview-patterns/)

- [System Design Interview: Design a Ride-Sharing App (Uber/Lyft)](https://techinterview.org/system-design-ride-sharing-app/)

- [String Interview Patterns: Anagram, Palindrome, KMP & Encoding](https://techinterview.org/string-interview-patterns/)

- [Interval Problem Patterns: Merge, Insert, Meeting Rooms & Scheduling](https://techinterview.org/interval-problems-interview-patterns/)

- [Tree Dynamic Programming Interview Patterns: Diameter, Path Sum & House Robber](https://techinterview.org/tree-dp-interview-patterns/)

- [System Design Interview: Design a Ticket Booking System (Ticketmaster)](https://techinterview.org/system-design-ticket-booking/)

- [Advanced Binary Search Interview Patterns: Rotated Array, Search on Answer](https://techinterview.org/binary-search-advanced-interview-patterns/)

- [Greedy Algorithm Interview Patterns: Intervals, Jump Game, Task Scheduler](https://techinterview.org/greedy-algorithms-interview-patterns/)

- [System Design Interview: Design a Load Balancer](https://techinterview.org/system-design-load-balancer/)

- [Graph Algorithms Interview Patterns: BFS, DFS, Dijkstra & Cycle Detection](https://techinterview.org/graph-algorithms-interview-patterns/)

- [Math and Number Theory Interview Patterns](https://techinterview.org/math-number-theory-interview-patterns/)

- [Database Indexing Interview Guide](https://techinterview.org/database-indexing-interview-guide/)

- [System Design: Multi-Region Architecture and Global Replication](https://techinterview.org/system-design-global-replication/)

- [Concurrency Interview Patterns: Locks, Thread Safety, Producer-Consumer](https://techinterview.org/concurrency-interview-patterns/)

- [Sorting Algorithms Interview Guide: Quicksort, Mergesort, Counting Sort](https://techinterview.org/sorting-algorithms-interview-guide/)

- [System Design: Time Series Database (Prometheus / InfluxDB)](https://techinterview.org/system-design-time-series-database/)

- [Hash Map Interview Patterns: Two Sum, Frequency Counting, Sliding Window](https://techinterview.org/hash-map-interview-patterns/)

- [System Design: Notification Service (Push, SMS, Email at Scale)](https://techinterview.org/system-design-notification-service/)

- [Topological Sort Interview Patterns: Kahn's Algorithm, DFS Ordering, Cycle Detection](https://techinterview.org/topological-sort-interview-patterns/)

- [Matrix and Grid DP Interview Patterns: Unique Paths, Minimum Path Sum, Dungeon](https://techinterview.org/matrix-grid-dp-interview-patterns/)

- [System Design: Live Location Tracking (Uber / Lyft Driver GPS)](https://techinterview.org/system-design-location-tracking/)

- [Segment Tree and Fenwick Tree (BIT) Interview Patterns](https://techinterview.org/segment-tree-fenwick-tree-patterns/)

- [System Design: Distributed Job Scheduler (Cron at Scale)](https://techinterview.org/system-design-job-scheduler/)

- [Recursion Interview Patterns: Memoization, Tree Recursion, Classic Problems](https://techinterview.org/recursion-interview-patterns/)

- [System Design: E-commerce and Inventory Management System](https://techinterview.org/system-design-ecommerce-inventory/)

- [Bit Manipulation Interview Patterns: XOR Tricks, Bit Masks, Power of 2](https://techinterview.org/bit-manipulation-interview-patterns/)

- [System Design: Social Graph and Friend Recommendations](https://techinterview.org/system-design-social-graph/)

- [Divide and Conquer Interview Patterns: Merge Sort, Quick Select, Master Theorem](https://techinterview.org/divide-and-conquer-interview-patterns/)

- [Monotonic Stack Interview Patterns: Next Greater, Histograms, Stock Span](https://techinterview.org/monotonic-stack-interview-patterns/)

- [System Design: Distributed Message Queue (Kafka / SQS)](https://techinterview.org/system-design-message-queue/)

- [Union-Find (Disjoint Set Union) Interview Patterns](https://techinterview.org/union-find-interview-patterns/)

- [Backtracking Interview Patterns: Subsets, Permutations, N-Queens](https://techinterview.org/backtracking-interview-patterns/)

- [System Design: Payment Processing System (Stripe / PayPal)](https://techinterview.org/system-design-payment-processing/)

- [Binary Tree Interview Patterns: Traversal, DFS, BFS, and Classic Problems](https://techinterview.org/binary-tree-interview-patterns/)

- [String DP Interview Patterns: LCS, Edit Distance, Palindrome DP](https://techinterview.org/string-dp-interview-patterns/)

- [Linked List Interview Patterns](https://techinterview.org/linked-list-interview-patterns/)

- [System Design: Twitter / Social Media Feed Architecture](https://techinterview.org/system-design-twitter-social-media-feed/)

- [System Design: Hotel and Airbnb Booking System](https://techinterview.org/system-design-booking-system/)

- [Dynamic Programming Knapsack Patterns](https://techinterview.org/dynamic-programming-knapsack-patterns/)

- [Interval and Greedy Algorithm Interview Patterns](https://techinterview.org/interval-greedy-interview-patterns/)

- [System Design: Autocomplete and Typeahead Service](https://techinterview.org/system-design-autocomplete-typeahead/)

- [System Design: Ticketing and Seat Reservation System](https://techinterview.org/system-design-ticketing-seat-reservation/)

- [System Design: Machine Learning Platform and MLOps](https://techinterview.org/system-design-ml-platform-mlops/)

- [Stack and Queue Interview Patterns](https://techinterview.org/stack-queue-interview-patterns/)

- [System Design: API Gateway and Service Mesh](https://techinterview.org/system-design-api-gateway-service-mesh/)

- [Binary Search Interview Patterns](https://techinterview.org/binary-search-interview-patterns/)

- [Sliding Window and Two Pointer Interview Patterns](https://techinterview.org/sliding-window-two-pointer-patterns/)

- [System Design: Kubernetes and Container Orchestration](https://techinterview.org/system-design-kubernetes-container-orchestration/)

- [System Design: DNS and Global Load Balancing](https://techinterview.org/system-design-dns-global-load-balancing/)

- [Graph Algorithm Interview Patterns](https://techinterview.org/graph-interview-patterns/)

- [System Design: Distributed Transactions and Saga Pattern](https://techinterview.org/system-design-distributed-transactions-saga/)

- [Trie and String Algorithm Interview Patterns](https://techinterview.org/trie-string-interview-patterns/)

- [Heap and Priority Queue Interview Patterns](https://techinterview.org/heap-priority-queue-patterns/)

## Related System Design Topics

- [System Design: Ride-Sharing Dispatch System](https://techinterview.org/system-design-rideshare-dispatch/)

📌 Related System Design: [Low-Level Design: Chess Game (OOP Interview)](https://techinterview.org/lld-chess-game/)

📌 Related System Design: [Database Sharding: Complete System Design Guide](https://techinterview.org/database-sharding-system-design/)

📌 Related System Design: [Recursion and Backtracking Interview Patterns (2025)](https://techinterview.org/recursion-backtracking-interview-patterns/)

📌 Related: [Low-Level Design: Parking Lot System (OOP Interview)](https://techinterview.org/lld-parking-lot-system/)

📌 Related: [Low-Level Design: Hotel Booking System (OOP Interview)](https://techinterview.org/lld-hotel-booking-system/)

📌 Related: [Trie Data Structure Interview Patterns (2025)](https://techinterview.org/trie-data-structure-interview-patterns/)

📌 Related: [Low-Level Design: ATM Machine (State Pattern Interview)](https://techinterview.org/lld-atm-machine/)

📌 Related: [Segment Tree and Fenwick Tree Interview Patterns (2025)](https://techinterview.org/segment-tree-interview-patterns/)

📌 Related: [Low-Level Design: Snake and Ladder Game (OOP Interview)](https://techinterview.org/lld-snake-and-ladder-game/)

📌 Related: [Low-Level Design: Movie Ticket Booking System (OOP Interview)](https://techinterview.org/lld-movie-ticket-booking-system/)

📌 Related: [Low-Level Design: Tic-Tac-Toe Game (OOP Interview)](https://techinterview.org/lld-tic-tac-toe-game/)

📌 Related: [Shortest Path Algorithm Interview Patterns (2025)](https://techinterview.org/shortest-path-algorithm-patterns/)

📌 Related: [Dynamic Programming Interview Patterns (2025)](https://techinterview.org/dynamic-programming-interview-patterns/)

📌 Related: [System Design Interview: Design a Key-Value Store (Redis / DynamoDB)](https://techinterview.org/system-design-key-value-store/)

📌 Related: [Low-Level Design: Vending Machine (OOP Interview)](https://techinterview.org/lld-vending-machine/)

📌 Related: [Graph Traversal Interview Patterns (2025)](https://techinterview.org/graph-traversal-interview-patterns/)

📌 Related: [Low-Level Design: Food Delivery System (OOP Interview)](https://techinterview.org/lld-food-delivery-system/)

📌 Related: [Sliding Window Interview Patterns (2025)](https://techinterview.org/sliding-window-interview-patterns/)

📌 Related: [Low-Level Design: Elevator System (OOP Interview)](https://techinterview.org/lld-elevator-system/)

📌 Related: [Low-Level Design: Movie Ticket Booking System (OOP Interview)](https://techinterview.org/lld-movie-ticket-booking/)

📌 Related: [System Design Interview: Design a Distributed Message Queue (Kafka)](https://techinterview.org/system-design-message-queue-kafka/)

📌 Related: [Low-Level Design: Pub/Sub Event System (OOP Interview)](https://techinterview.org/lld-pub-sub-event-system/)

📌 Related: [System Design Interview: Design a Payment Processing System](https://techinterview.org/system-design-payment-system/)

📌 Related: [Low-Level Design: Task Scheduler / Job Queue (OOP Interview)](https://techinterview.org/lld-task-scheduler-job-queue/)

📌 Related: [Low-Level Design: Notification System (OOP Interview)](https://techinterview.org/lld-notification-system/)

📌 Related: [System Design Interview: Design a Geo-Proximity Service (Yelp / Nearby)](https://techinterview.org/system-design-proximity-service/)

📌 Related: [Low-Level Design: Logging Framework (OOP Interview)](https://techinterview.org/lld-logging-framework/)

📌 Related: [Low-Level Design: Parking Lot System (OOP Interview)](https://techinterview.org/lld-parking-lot/)

📌 Related: [Two Pointers Interview Patterns (2025)](https://techinterview.org/two-pointers-interview-patterns/)

📌 Related: [Low-Level Design: Ride-Sharing App (Uber / Lyft OOP Interview)](https://techinterview.org/lld-ride-sharing-app/)

Related system design: [System Design: Consistent Hashing Explained with Virtual Nodes](https://techinterview.org/system-design-consistent-hashing/)

Related system design: [Low-Level Design: Task Scheduler (Priority Queue, Thread Pool, Retries)](https://techinterview.org/lld-task-scheduler/)

Related system design: [System Design: Distributed File System (GFS/HDFS) Deep Dive](https://techinterview.org/system-design-distributed-file-system/)

Related system design: [Low-Level Design: Food Delivery App (DoorDash/Uber Eats) OOP Design](https://techinterview.org/lld-food-delivery-app/)

 Related: [Low-Level Design: Pub/Sub Message Broker (Observer Pattern)](https://techinterview.org/lld-pubsub-message-broker/)

Related system design: [System Design: Distributed Tracing System (Jaeger/Zipkin/OpenTelemetry)](https://techinterview.org/system-design-distributed-tracing/)

Related system design: [System Design: Sharding and Data Partitioning Explained](https://techinterview.org/system-design-sharding-data-partitioning/)

Related system design: [System Design: Content Delivery Network (CDN) — Cache, Routing, Edge](https://techinterview.org/system-design-cdn-content-delivery-network/)

Related system design: [System Design: Database Replication, Read Scaling, and Failover](https://techinterview.org/system-design-database-replication/)

Related system design: [Low-Level Design: Ride-Sharing Driver App (State Machine, Earnings, Location)](https://techinterview.org/lld-ride-sharing-driver-app/)

Related system design: [System Design: Apache Kafka — Architecture, Partitions, and Stream Processing](https://techinterview.org/system-design-kafka-architecture/)

Related system design: [System Design: Distributed Task Queue and Job Scheduler (Celery, SQS, Redis)](https://techinterview.org/system-design-distributed-task-queue/)

Related system design: [Low-Level Design: Food Delivery Order System (DoorDash/Uber Eats) — State Machine, Driver Assignment](https://techinterview.org/lld-food-delivery-order-system/)

Related system design: [Low-Level Design: Hotel Booking Platform — Availability, Atomic Reservation, Dynamic Pricing](https://techinterview.org/lld-hotel-booking-platform/)

Related system design: [System Design: Recommendation Engine — Collaborative Filtering, Two-Tower Model, and Ranking](https://techinterview.org/system-design-recommendation-engine/)

Related system design: [System Design: Video Processing Pipeline (YouTube/Netflix) -- Transcoding, HLS, and Scaling](https://techinterview.org/system-design-video-processing-pipeline/)

Related system design: [Low-Level Design: Ride-sharing Matching Engine -- Driver Matching, Pricing, and Trip State Machine](https://techinterview.org/lld-ride-sharing-matching-engine/)

Related system design: [System Design: Geo-Proximity Service -- Location Storage, Radius Search, and Geohashing](https://techinterview.org/system-design-geo-proximity-service/)

Related system design: [Low-Level Design: Food Delivery Order Tracking -- Real-time Location, State Machine, and ETA](https://techinterview.org/lld-food-delivery-tracking/)

Related system design: [System Design: Log Aggregation and Observability Platform — ELK Stack, Metrics, Tracing, and Alerting](https://techinterview.org/system-design-log-aggregation-observability/)

Related system design: [System Design: Consensus Algorithms — Raft, Paxos, Leader Election, and Distributed Agreement](https://techinterview.org/system-design-consensus-algorithms-raft-paxos/)

Related system design: [System Design: Database Sharding — Horizontal Partitioning, Shard Keys, Hotspots, and Resharding](https://techinterview.org/system-design-database-sharding/)

Related system design: [Low-Level Design: Real Estate Platform — Property Listings, Search, Mortgage Calculator, and Agent Matching](https://techinterview.org/lld-real-estate-platform/)

Related system design: [System Design: Typeahead and Search Autocomplete — Trie, Prefix Indexing, and Real-time Suggestions](https://techinterview.org/system-design-typeahead-search-autocomplete/)

Related system design: [Low-Level Design: Airport Management System -- Flights, Gates, Boarding, and Baggage](https://techinterview.org/lld-airport-management-system/)

Related system design: [Low-Level Design: Food Delivery Platform -- Orders, Driver Dispatch, Real-Time Tracking](https://techinterview.org/lld-food-delivery-platform/)

Related system design: [Trie Interview Patterns: Autocomplete, Word Search, IP Routing, and Prefix Problems (2025)](https://techinterview.org/trie-interview-patterns/)

Related system design: [System Design: ML Feature Store -- Feature Computation, Storage, Serving, and Point-in-Time Correctness](https://techinterview.org/system-design-ml-feature-store/)

Related system design: [Shortest Path Interview Patterns: Dijkstra, Bellman-Ford, A*, and Floyd-Warshall (2025)](https://techinterview.org/shortest-path-interview-patterns/)

Related system design: [System Design: Distributed Transactions — Two-Phase Commit, Saga Pattern, and the Outbox Pattern](https://techinterview.org/system-design-distributed-transactions/)

Related system design: [Low-Level Design: Fleet Management System — Vehicle Tracking, Driver Assignment, and Route Optimization](https://techinterview.org/lld-fleet-management-system/)

Related system design: [Low-Level Design: Job Scheduler — Cron Jobs, Distributed Task Execution, and Retry Logic](https://techinterview.org/lld-job-scheduler/)

Related system design: [Low-Level Design: Travel Booking System — Flight Search, Seat Selection, and Itinerary Management](https://techinterview.org/lld-travel-booking-system/)

Related system design: [Low-Level Design: Hotel Booking System — Room Availability, Reservation Management, and Pricing](https://techinterview.org/lld-hotel-booking/)

Related system design: [Low-Level Design: Food Ordering System (DoorDash/UberEats) — Orders, Dispatch, and Delivery Tracking](https://techinterview.org/lld-food-ordering-system/)

Related system design: [System Design: Circuit Breaker, Retry, and Bulkhead — Resilience Patterns for Microservices](https://techinterview.org/system-design-circuit-breaker/)

Related system design: [System Design: Inventory Management System — Stock Tracking, Reservations, and Reorder Automation](https://techinterview.org/system-design-inventory-management/)

Related system design: [Low-Level Design: Ride-Sharing App (Uber/Lyft) — Driver Matching, Surge Pricing, and Trip State Machine](https://techinterview.org/lld-ride-sharing/)

Related system design: [Low-Level Design: Shopping Cart System — Persistence, Pricing, and Checkout Coordination](https://techinterview.org/lld-shopping-cart/)

Related system design: [Low-Level Design: Event Booking System — Seat Selection, Inventory Lock, and Payment Coordination](https://techinterview.org/lld-event-booking/)

Related system design: [System Design: Workflow Engine — DAG Execution, State Persistence, and Fault Tolerance](https://techinterview.org/system-design-workflow-engine/)

Related system design: [Low-Level Design: Online Food Delivery (DoorDash/Uber Eats) — Order Lifecycle, Driver Assignment, and ETA](https://techinterview.org/lld-online-food-delivery/)

Related system design: [Low-Level Design: Hotel Management System — Room Booking, Check-In, and Billing](https://techinterview.org/lld-hotel-management/)

See also: [Low-Level Design: Taxi/Ride-Hailing Dispatch System](https://techinterview.org/lld-taxi-dispatch/)

See also: [System Design: Location Service](https://techinterview.org/system-design-location-service/)

See also: [System Design: Payment Gateway](https://techinterview.org/system-design-payment-gateway/)

See also: [Low-Level Design: Fleet Management System](https://techinterview.org/lld-fleet-management/)

See also: [Low-Level Design: Parking Lot System](https://techinterview.org/lld-parking-system/)

See also: [System Design: Drone Delivery Platform](https://techinterview.org/system-design-drone-delivery/)

See also: [Low-Level Design: Food Delivery Platform](https://techinterview.org/lld-food-delivery/)

See also: [Low-Level Design: Loyalty and Rewards System](https://techinterview.org/lld-loyalty-rewards/)

See also: [System Design: Distributed Cache](https://techinterview.org/system-design-cache/)

See also: [System Design: Geospatial Platform](https://techinterview.org/system-design-geospatial/)

Uber interviews test graph algorithms for routing. Review Dijkstra and shortest path patterns in [Advanced Graph Algorithm Interview Patterns](https://www.techinterview.org/post/3233466528/graph-advanced-patterns/).

Uber system design interviews cover driver dispatch. Review the full LLD in [Ride-Sharing Dispatch System Low-Level Design](https://www.techinterview.org/post/3233465615/lld-ride-sharing/).

Uber routing is built on maps technology. Review the full maps system design in [Maps and Navigation Platform System Design](https://www.techinterview.org/post/3233466697/system-design-maps/).

Uber routing relies on shortest path algorithms. Review Dijkstra, A*, and bidirectional search in [Graph Shortest Path Interview Patterns](https://www.techinterview.org/post/3233463789/shortest-path-algorithm-patterns/).

Uber caches driver locations and surge prices. Review distributed cache patterns and consistent hashing in [Distributed Cache System Low-Level Design](https://www.techinterview.org/post/3233466853/lld-distributed-cache/).

Uber algorithm interviews include scheduling and optimization. Review greedy patterns and proofs in [Greedy Algorithm Interview Patterns](https://www.techinterview.org/post/3233466876/greedy-patterns/).

Uber coding rounds include pointer problems. Review linked list patterns from Floyd cycle to deep copy in [Linked List Interview Patterns](https://www.techinterview.org/post/3233466900/linked-list-patterns/).

Uber tests graph algorithms for routing. Review DFS, BFS, and topological sort patterns in [Graph Traversal Interview Patterns](https://www.techinterview.org/post/3233466947/graph-traversal-patterns/).

Uber tests optimization problems. Review binary search on answer space and the universal predicate template in [Advanced Binary Search Interview Patterns](https://www.techinterview.org/post/3233466118/binary-search-advanced-patterns/).

Uber uses event-driven microservices. Review choreography vs orchestration and saga design in [Event-Driven Architecture System Design](https://www.techinterview.org/post/3233466995/lld-event-driven-architecture/).

Uber uses ranking systems. Review Redis leaderboard design, friend rankings, and sharding at scale in [Gaming Leaderboard System Low-Level Design](https://www.techinterview.org/post/3233467021/lld-gaming-leaderboard/).

Uber uses proximity service for dispatch. Review geohash, Redis GEO, and 250K writes/sec location tracking in [Proximity Service (Find Nearby) Low-Level Design](https://www.techinterview.org/post/3233467044/lld-proximity-service/).

Uber system design includes search autocomplete. Review the typeahead search LLD in [Typeahead Search (Autocomplete) System Low-Level Design](https://www.techinterview.org/post/3233472980/lld-search-typeahead/).

Uber system design interviews cover the full ride-sharing platform. Review the HLD in [Ride-Sharing App (Uber/Lyft) High-Level System Design](https://www.techinterview.org/post/3233467092/lld-ride-sharing-hld/).

Uber system design covers distributed locking for dispatch. Review Redis and ZooKeeper lock design in [Distributed Lock System Low-Level Design](https://www.techinterview.org/post/3233472666/lld-distributed-lock-manager/).

Uber system design covers API gateway and microservices. Review the full gateway LLD in [API Gateway Low-Level Design](https://www.techinterview.org/post/3233473935/lld-api-gateway-design/).

Uber system design covers task queues for async job processing. Review the full LLD in [Task Queue System Low-Level Design](https://www.techinterview.org/post/3233467234/lld-task-queue/).

Uber system design covers distributed configuration and feature flags. Review the full LLD in [Distributed Configuration Service Low-Level Design](https://www.techinterview.org/post/3233467259/lld-config-service/).

Uber system design is the canonical location tracking topic. Review Redis Geo, Cassandra history, and geofencing in [Location Tracking System Low-Level Design](https://www.techinterview.org/post/3233467307/lld-location-tracker/).

Uber system design covers rate limiting for high-traffic APIs. Review the full LLD in [Rate Limiting System Low-Level Design (Token Bucket, Leaky Bucket)](https://www.techinterview.org/post/3233467377/lld-leaky-bucket/).

Uber system design covers distributed caching. Review the LRU, write policies, and Redis cluster LLD in [Cache System Low-Level Design (LRU, Write Policies, Redis Cluster)](https://www.techinterview.org/post/3233467424/lld-cache-system/).

Uber system design covers real-time ML feature stores. Review the full feature store LLD in [Feature Store System Low-Level Design](https://www.techinterview.org/post/3233467472/lld-feature-store/).

Uber system design covers referral incentive programs. Review the fraud prevention and reward LLD in [Referral System Low-Level Design](https://www.techinterview.org/post/3233467498/lld-referral-system/).

Uber system design covers order fulfillment and delivery. Review the fulfillment LLD in [Order Fulfillment System Low-Level Design](https://www.techinterview.org/post/3233467521/lld-order-fulfillment/).

Time-series database and metrics system design is covered in our [Time-Series Database Low-Level Design](https://www.techinterview.org/post/3233467616/lld-time-series-db/).

Geofencing and location-based system design is covered in our [Geofencing System Low-Level Design](https://www.techinterview.org/post/3233467684/lld-geofencing/).

Payment split and fare distribution system design is covered in our [Payment Split System Low-Level Design](https://www.techinterview.org/post/3233467853/lld-payment-split/).

Booking system and slot reservation design is covered in our [Booking System Low-Level Design](https://www.techinterview.org/post/3233467856/lld-booking-system/).

Geo search and driver location system design is covered in our [Geo Search System Low-Level Design](https://www.techinterview.org/post/3233467926/lld-geo-search/).

Circuit breaker and microservice resilience design is covered in our [Circuit Breaker Pattern Low-Level Design](https://www.techinterview.org/post/3233472819/lld-circuit-breaker-pattern/).

Event deduplication and distributed system design is covered in our [Event Deduplication System Low-Level Design](https://www.techinterview.org/post/3233467929/lld-event-deduplication/).

Outbox pattern and distributed transaction design is covered in our [Outbox Pattern Low-Level Design](https://www.techinterview.org/post/3233468057/lld-outbox-pattern/).

Database sharding and distributed data storage design is covered in our [Database Sharding Low-Level Design](https://www.techinterview.org/post/3233468059/lld-database-sharding/).

Graceful degradation and service reliability design is covered in our [Graceful Degradation Low-Level Design](https://www.techinterview.org/post/3233468064/lld-graceful-degradation/).

Saga pattern and distributed transaction design is covered in our [Saga Pattern Low-Level Design](https://www.techinterview.org/post/3233468065/lld-saga-pattern/).

Change data capture and event streaming design is covered in our [Change Data Capture (CDC) Low-Level Design](https://www.techinterview.org/post/3233468066/lld-change-data-capture/).

Service discovery and microservices architecture design is covered in our [Service Discovery Low-Level Design](https://www.techinterview.org/post/3233468147/lld-service-discovery/).

Inbox pattern and exactly-once message processing design is covered in our [Inbox Pattern Low-Level Design](https://www.techinterview.org/post/3233468148/lld-inbox-pattern/).

Health check endpoint and microservices observability design is covered in our [Health Check Endpoint Low-Level Design](https://www.techinterview.org/post/3233468939/lld-health-check-service/).

Invitation system and referral attribution design is covered in our [Invitation System Low-Level Design](https://www.techinterview.org/post/3233468238/lld-invitation-system/).