OpenAI
Leading AI research laboratory developing state-of-the-art foundation models like GPT-4.
5 Rounds
~21 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Backend Engineer
•
System Design
•
hard
Design an ingestion pipeline for training data that continuously processes petabytes of text from the web.
#Data Engineering
#Kafka
#MapReduce
#Storage
Backend Engineer
•
System Design
•
medium
Design a real-time monitoring and alerting system for model inference latency across multiple geographic regions.
#Observability
#Time-Series Databases
#Data Aggregation
Backend Engineer
•
System Design
•
hard
Design a vector database for storing and querying billions of embeddings generated by our models.
#Vector Search
#ANN Algorithms
#Sharding
#Databases
Backend Engineer
•
System Design
•
hard
Design the OpenAI API rate limiting system. It needs to enforce limits on requests per minute (RPM) and tokens per minute (TPM) across millions of users globally with minimal latency.
#Distributed Systems
#Redis
#Latency Optimization
Backend Engineer
•
System Design
•
hard
Design a GPU resource scheduler for batch processing inference jobs. Some jobs have higher priority, and GPUs have varying memory capacities.
#Resource Allocation
#Scheduling Algorithms
#Distributed Systems
Backend Engineer
•
System Design
•
medium
Design ChatGPT's conversation history storage system. It must support fast retrieval of recent chats, full-text search, and handle massive write volume.
#Databases
#Sharding
#Search Engines
Backend Engineer
•
System Design
•
hard
Design a webhook delivery system for asynchronous API requests (e.g., batch processing of millions of prompts).
#Message Queues
#Retry Mechanisms
#Idempotency
#Rate Limiting
Backend Engineer
•
System Design
•
hard
Design a system to detect and block malicious prompts (jailbreaks) in real-time before they reach the LLM.
#Security
#Stream Processing
#Machine Learning Infrastructure
Backend Engineer
•
System Design
•
medium
Design a scalable distributed cache for LLM prompt/response pairs to save compute on identical queries.
#Caching
#Hashing
#Consistency
Backend Engineer
•
System Design
•
hard
Design a system for streaming LLM responses to millions of concurrent users. How do you handle connection drops and ensure tokens are delivered in order?
#Server-Sent Events (SSE)
#WebSockets
#Load Balancing
#Connection Management
Cloud Engineer
•
System Design
•
hard
Design a system to provision, manage, and monitor a cluster of 10,000 GPUs on Azure for a massive LLM training run. How do you handle node failures gracefully without restarting the entire training job?
#Azure
#Kubernetes
#GPU Orchestration
#Fault Tolerance
Cloud Engineer
•
System Design
•
hard
Design a system to securely stream massive training datasets (petabytes of data) from cloud storage to thousands of GPU nodes in real-time.
#Storage
#Throughput
#Distributed Systems
Cloud Engineer
•
System Design
•
hard
Design a multi-region active-active deployment architecture for the OpenAI API to ensure 99.99% uptime.
#High Availability
#Global Routing
#Database Replication
Cloud Engineer
•
System Design
•
hard
Design an auto-scaling architecture for the ChatGPT inference API that experiences sudden, massive spikes in traffic. How do you scale stateful workloads like KV-cache across multiple regions?
#Auto-scaling
#Load Balancing
#Distributed Systems
#Inference
Cloud Engineer
•
System Design
•
hard
Design a rate-limiting service for the OpenAI API that can handle sudden, massive viral spikes in traffic across multiple global regions.
#Distributed Systems
#API Gateway
#Redis
#Concurrency
Cloud Engineer
•
System Design
•
hard
Explain how you would design the infrastructure to serve a large language model like GPT-4, ensuring high availability and low latency for global users.
#GPU Orchestration
#Load Balancing
#High Availability
#Inference
Cloud Engineer
•
System Design
•
hard
Design a telemetry and observability system capable of ingesting and querying metrics from 100,000+ GPUs in real-time.
#Observability
#Prometheus
#Time-Series Databases
#Scaling
Cloud Engineer
•
System Design
•
hard
Design a distributed caching layer for LLM embeddings that allows fast nearest-neighbor lookups across billions of vectors.
#Vector Databases
#Caching
#Distributed Systems
Cloud Engineer
•
System Design
•
medium
Design a scalable CI/CD pipeline for a massive monorepo containing both infrastructure code and machine learning models.
#CI/CD
#Monorepo
#Bazel
#Automation
Data Engineer
•
System Design
•
hard
Design an automated evaluation pipeline that runs nightly benchmarks (e.g., MMLU, HumanEval) on the latest model checkpoints and alerts researchers to regressions.
#Orchestration
#CI/CD for ML
#Airflow
#Compute Allocation
Data Engineer
•
System Design
•
medium
Architect a system to collect, anonymize, and store telemetry and conversation data from ChatGPT clients for model fine-tuning, ensuring strict privacy compliance.
#Data Privacy
#Batch Processing
#Data Warehousing
#Security
Data Engineer
•
System Design
•
hard
Design a pipeline to continuously ingest newly published news articles, generate embeddings using an OpenAI model, and update a vector database for a real-time RAG application.
#Vector Databases
#Embeddings
#Event-Driven Architecture
#RAG
Data Engineer
•
System Design
•
hard
How would you design a highly available, low-latency system to track and enforce token rate limits for OpenAI API users across multiple global regions?
#Distributed Caching
#Redis
#Consistency
#Rate Limiting
Data Engineer
•
System Design
•
hard
Design a data ingestion pipeline to process petabytes of web crawl data (e.g., CommonCrawl) for LLM pre-training.
#Distributed Systems
#Data Ingestion
#Scalability
#Storage
Data Engineer
•
System Design
•
hard
Design a near real-time telemetry system to track API token usage and latency across millions of ChatGPT users.
#Streaming
#Kafka
#Real-time Analytics
#Metrics
Data Engineer
•
System Design
•
hard
Design a distributed deduplication system to remove exact and near-duplicate documents from a 10TB text dataset.
#Algorithms
#Big Data
#MinHash
#LSH
Data Engineer
•
System Design
•
medium
Design a pipeline to continuously update a vector database with new embeddings generated from daily news articles.
#Vector Databases
#Embeddings
#ETL
#Orchestration
Data Engineer
•
System Design
•
hard
How would you design a system to detect and scrub PII (Personally Identifiable Information) from training datasets at scale?
#Data Privacy
#NLP
#Distributed Processing
#Security
Data Engineer
•
System Design
•
hard
Design an ETL pipeline that takes newly published research papers, generates embeddings using our API, and updates a vector database for RAG (Retrieval-Augmented Generation) without causing downtime.
#ETL
#Vector Databases
#Embeddings
#Idempotency
Data Engineer
•
System Design
•
hard
Design a data pipeline to ingest, deduplicate, and tokenize 10 petabytes of web text data for LLM pre-training. How do you handle exact and fuzzy deduplication at this massive scale?
#Distributed Systems
#Data Pipelines
#MinHash/LSH
#Spark/Ray
Data Engineer
•
System Design
•
hard
Design a real-time monitoring system for ChatGPT API latency and error rates. The system needs to aggregate metrics per minute, per user tier, and per model, handling millions of requests per second.
#Stream Processing
#Kafka
#Time-Series Databases
#High Throughput
Data Engineer
•
System Design
•
hard
Design a data pipeline to ingest, filter for PII, deduplicate, and tokenize 10PB of Common Crawl data for training a next-generation LLM.
#Big Data
#Distributed Systems
#Data Pipelines
#Spark/Ray
Data Engineer
•
System Design
•
medium
Explain how you would model the data warehouse schema for tracking prompt and completion tokens across different API endpoints.
#Data Modeling
#Star Schema
#Fact/Dimension Tables
Data Engineer
•
System Design
•
medium
Design a real-time analytics and monitoring system for the OpenAI API to track latency, error rates, and token usage globally.
#Stream Processing
#Kafka
#Time-Series DB
#Monitoring
Data Engineer
•
System Design
•
hard
How would you design a distributed web scraper to crawl millions of specific domains daily, ensuring data freshness while respecting robots.txt and avoiding IP bans?
#Web Scraping
#Distributed Queues
#Proxies
#Politeness
Data Scientist
•
System Design
•
hard
Design a data pipeline to continuously update the knowledge cutoff of an LLM using web search data and news feeds.
#Data Pipelines
#Web Scraping
#Data Quality
Data Scientist
•
System Design
•
hard
Design a system to monitor, detect, and alert on API latency degradation specifically for enterprise customers using provisioned throughput, ensuring a false positive rate of less than 1%.
#Monitoring
#Anomaly Detection
#Enterprise SLAs
Data Scientist
•
System Design
•
hard
Design a telemetry data pipeline to capture, process, and analyze user feedback (thumbs up/down and text corrections) on ChatGPT responses in real-time to trigger alerts for model degradation.
#Real-time Processing
#Streaming Architecture
#Data Pipelines
Data Scientist
•
System Design
•
medium
Design an analytics dashboard backend for OpenAI Enterprise customers to monitor their organization's usage, costs, and ROI.
#Data Modeling
#Multi-tenancy
#OLAP
Data Scientist
•
System Design
•
hard
How would you design a system to detect and mitigate prompt injection attacks at scale before they hit the main inference cluster?
#Security
#Classification
#System Architecture
Data Scientist
•
System Design
•
hard
Design the telemetry and analytics pipeline to track token usage, latency, and error rates for the OpenAI API in real-time.
#Streaming Architecture
#Telemetry
#Scalability
DevOps Engineer
•
System Design
•
hard
Design a distributed checkpointing system for large-scale model training that needs to write terabytes of state data every 10 minutes without blocking GPU execution.
#Distributed Systems
#Storage
#High Throughput
#GPU Infrastructure
DevOps Engineer
•
System Design
•
hard
Design a system to securely distribute multi-gigabyte model weights to thousands of edge inference nodes globally with minimal latency and network cost.
#Content Delivery
#Peer-to-Peer
#Security
#Edge Computing
DevOps Engineer
•
System Design
•
hard
Design a centralized logging architecture capable of ingesting petabytes of logs per day from distributed inference servers with sub-minute search latency.
#Logging
#Big Data
#Elasticsearch
#Kafka
DevOps Engineer
•
System Design
•
medium
Design a highly available internal DNS architecture for a multi-region cloud environment that supports millions of internal queries per second.
#DNS
#Networking
#High Availability
DevOps Engineer
•
System Design
•
hard
Design an auto-scaling system for inference nodes based on custom metrics like queue depth and GPU memory fragmentation, rather than just CPU usage.
#Auto-scaling
#Custom Metrics
#KEDA
#Capacity Planning
DevOps Engineer
•
System Design
•
hard
Design a high-throughput, low-latency API gateway for LLM inference that handles streaming responses (e.g., Server-Sent Events).
#API Gateway
#Load Balancing
#Streaming
#WebSockets/SSE
Frontend Engineer
•
System Design
•
medium
Design a robust telemetry and error tracking system for the frontend. How do you capture unhandled exceptions, promise rejections, and performance metrics without impacting the user experience?
#Observability
#Error Handling
#Performance
Frontend Engineer
•
System Design
•
hard
Design a canvas-based node editor (similar to a visual workflow builder for chaining LLM prompts). How do you handle rendering, zooming, panning, and connecting nodes?
#Canvas API
#WebGL
#Math
#State Management
Frontend Engineer
•
System Design
•
hard
Design a robust file upload system for the Advanced Data Analysis (Code Interpreter) feature. It must handle files up to 1GB, support resume on failure, and show progress.
#Chunked Uploads
#Network Resilience
#File API
Frontend Engineer
•
System Design
•
medium
Design an image gallery for DALL-E generations. It needs to support infinite scrolling, lazy loading of high-res images, and a masonry layout.
#Layout
#Performance
#Intersection Observer
Frontend Engineer
•
System Design
•
hard
Design a real-time collaborative prompt engineering playground where multiple users can edit a prompt simultaneously and see live model outputs.
#WebSockets
#Operational Transformation (OT)
#CRDTs
#Concurrency
Frontend Engineer
•
System Design
•
hard
Design the frontend architecture for the ChatGPT web client. Focus specifically on how you would handle streaming responses, manage conversation state, and handle network interruptions.
#Architecture
#Streaming
#State Management
#Resilience
Frontend Engineer
•
System Design
•
medium
Design the architecture for a 'Shared Chat' feature, where a user can generate a public URL for a specific conversation. Consider security, SEO, and hydration.
#Next.js
#SSR
#Security
#SEO
Full Stack Engineer
•
System Design
•
hard
How would you design a scalable prompt evaluation platform where enterprise users can run A/B tests on different LLM prompts across millions of dataset rows?
#Batch Processing
#Scalability
#Data Pipelines
#Analytics
Full Stack Engineer
•
System Design
•
hard
How would you architect a system to securely store, process, and manage user-uploaded files for the Advanced Data Analysis (Code Interpreter) feature?
#Security
#Storage
#Sandboxing
#Microservices
Full Stack Engineer
•
System Design
•
medium
Design the database schema and backend architecture for storing and retrieving user chat histories with minimal latency, considering users might have thousands of long conversations.
#Database Design
#Indexing
#NoSQL
#Caching
Full Stack Engineer
•
System Design
•
hard
Design an API gateway that routes requests to different model endpoints (e.g., GPT-3.5, GPT-4) based on load, availability, and user subscription tier.
#API Gateway
#Load Balancing
#Routing
#High Availability
Full Stack Engineer
•
System Design
•
hard
Design the architecture for ChatGPT's web interface, focusing on real-time streaming, chat history persistence, and state management across multiple devices.
#Architecture
#Streaming
#State Management
#Databases
Full Stack Engineer
•
System Design
•
medium
Design a system to handle webhooks for OpenAI API fine-tuning jobs, ensuring at-least-once delivery and handling downstream customer endpoint failures.
#Webhooks
#Message Queues
#Retry Logic
#Distributed Systems
Full Stack Engineer
•
System Design
•
hard
Design a real-time collaborative prompt playground where multiple users can edit a prompt simultaneously and see model outputs, similar to Google Docs.
#WebSockets
#CRDTs
#Operational Transformation
#Real-time
Full Stack Engineer
•
System Design
•
hard
Design a distributed rate limiting system for the OpenAI API that enforces both Requests Per Minute (RPM) and Tokens Per Minute (TPM) globally across multiple data centers.
#Distributed Systems
#Rate Limiting
#Redis
#Eventual Consistency
Full Stack Engineer
•
System Design
•
medium
Design a logging and monitoring pipeline to track API latency, error rates, and token usage per customer in real-time.
#Observability
#Data Pipelines
#Metrics
#Elasticsearch/Prometheus
Full Stack Engineer
•
System Design
•
hard
Architect a plugin execution engine that safely calls third-party APIs based on LLM outputs while preventing Server-Side Request Forgery (SSRF) and timing attacks.
#Security
#API Integration
#Network Architecture
Machine Learning Engineer
•
System Design
•
hard
Design the inference architecture for a ChatGPT-like service to handle millions of concurrent users with minimal Time-To-First-Token (TTFT) and high throughput.
#Inference
#Scalability
#Concurrency
#Continuous Batching
Machine Learning Engineer
•
System Design
•
hard
Design the serving infrastructure for ChatGPT to handle millions of concurrent users. How do you manage state, batching, and latency?
#Distributed Systems
#Inference Scaling
#Continuous Batching
Machine Learning Engineer
•
System Design
•
hard
How would you design a system to train a 100B+ parameter model across 10,000 GPUs? Detail the parallelism strategies you would use.
#Distributed Training
#3D Parallelism
#Network Topology
Machine Learning Engineer
•
System Design
•
hard
Design a data pipeline to scrape, clean, deduplicate, and tokenize 10TB of raw web text data for LLM pretraining.
#Data Engineering
#MapReduce
#MinHash
Machine Learning Engineer
•
System Design
•
hard
Design an end-to-end RLHF pipeline. Walk me through the system architecture from human labeling interfaces to the final PPO training loop.
#RLHF
#Data Pipelines
#Model Training
Machine Learning Engineer
•
System Design
•
medium
Design a system to detect and filter PII (Personally Identifiable Information) from a massive, continuously updating stream of training data.
#Security
#Stream Processing
#NLP
Machine Learning Engineer
•
System Design
•
medium
Design an evaluation framework for the continuous deployment of new LLM checkpoints. How do you ensure a new model doesn't regress on coding tasks while improving on creative writing?
#MLOps
#Evaluation
#Testing
Machine Learning Engineer
•
System Design
•
hard
Design a multi-tenant vector database system to support embedding search for millions of users (e.g., for ChatGPT custom knowledge bases).
#Databases
#Information Retrieval
#Scalability
Machine Learning Engineer
•
System Design
•
hard
You are tasked with reducing the Time-To-First-Token (TTFT) and increasing the generation speed of an existing LLM API. Walk me through the specific optimizations you would implement.
#Inference Optimization
#Latency
#Hardware
Machine Learning Engineer
•
System Design
•
hard
Design a fault-tolerant cluster orchestration system for training a 100B+ parameter model across 10,000 GPUs that can survive frequent node failures.
#Infrastructure
#Fault Tolerance
#Kubernetes
Product Manager
•
System Design
•
medium
You notice that API latency for GPT-4o has spiked by 200ms globally. Walk me through your debugging process as a PM.
#Debugging
#Infrastructure
#Latency
Product Manager
•
System Design
•
hard
Design a rate-limiting and tiering system for the OpenAI API to handle sudden viral usage spikes while ensuring enterprise SLAs.
#Scalability
#API Design
#SLA Management
Product Manager
•
System Design
•
hard
Walk me through how you would design the infrastructure and user experience to support real-time, low-latency voice conversations in ChatGPT.
#Real-time Systems
#Latency Optimization
#UX/UI
Product Manager
•
System Design
•
hard
Design a telemetry system to collect user feedback and usage patterns on enterprise model responses without violating strict Zero Data Retention (ZDR) agreements.
#Data Privacy
#Telemetry
#Enterprise Architecture
Product Manager
•
System Design
•
hard
Design a system to handle rate limiting for the OpenAI API across millions of developers with different tier limits.
#Distributed Systems
#API
#Scalability
Product Manager
•
System Design
•
hard
A major healthcare provider wants to use our API but requires strict HIPAA compliance and zero data retention. How do you design the product architecture to support this?
#Privacy
#Compliance
#Enterprise Architecture
Product Manager
•
System Design
•
hard
Design the backend architecture for ChatGPT's real-time voice feature to ensure latency stays under 300ms.
#Real-time Streaming
#Latency
#Audio Processing
Software Engineer
•
System Design
•
hard
Design the backend architecture for ChatGPT inference. How would you handle streaming responses, manage user context windows, and route requests to available GPU nodes?
#Distributed Systems
#Load Balancing
#WebSockets/SSE
#GPU Scheduling
Software Engineer
•
System Design
•
medium
Design a system to detect and block prompt injection attacks in real-time before they reach the core LLM.
#Security
#Stream Processing
#Classification
Software Engineer
•
System Design
•
hard
Design a multi-tenant architecture for fine-tuning models where enterprise users upload their own proprietary datasets.
#Multi-tenancy
#Security
#Data Isolation
#Job Queues
Software Engineer
•
System Design
•
hard
Design a system to handle web scraping at the scale of the entire internet for LLM training data collection.
#Distributed Crawling
#Deduplication
#Politeness Policies
Software Engineer
•
System Design
•
medium
Design a semantic caching layer for the OpenAI API to save compute on identical or highly similar prompts.
#Caching
#Embeddings
#Cost Optimization
Software Engineer
•
System Design
•
medium
Design a telemetry and alerting system to monitor GPU health and utilization across 10,000 nodes in real-time.
#Monitoring
#Time-Series Databases
#Data Aggregation
Software Engineer
•
System Design
•
hard
How would you design a system to load balance LLM inference requests across a heterogeneous GPU cluster (e.g., mixing A100s and H100s)?
#Load Balancing
#Hardware Awareness
#Scheduling
Software Engineer
•
System Design
•
hard
Design a scalable vector database for storing and querying billions of text embeddings.
#Vector Search
#HNSW
#Sharding
#Distributed Storage
Software Engineer
•
System Design
•
hard
Design a distributed, highly available rate-limiting system for the OpenAI API that handles millions of requests per second.
#Distributed Systems
#Redis
#Consistency
#API Gateways
Software Engineer
•
System Design
•
medium
Design a system to collect, store, and sample RLHF (Reinforcement Learning from Human Feedback) data at scale.
#Data Pipelines
#Databases
#Event Sourcing
Software Engineer
•
System Design
•
hard
Design the backend architecture for ChatGPT to support real-time streaming responses.
#Server-Sent Events (SSE)
#WebSockets
#Microservices
#Load Balancing
Software Engineer
•
System Design
•
medium
Design a system to handle webhooks for asynchronous API completions, ensuring at-least-once delivery.
#Webhooks
#Message Queues
#Reliability
Software Engineer
•
System Design
•
hard
Design a highly available distributed file system optimized for heavy, sequential read workloads during model training.
#File Systems
#Distributed Storage
#Throughput Optimization
Software Engineer
•
System Design
•
medium
Design a fine-tuning API where users can upload datasets and train custom models asynchronously.
#API Design
#Job Queues
#Storage
#Asynchronous Processing
Software Engineer
•
System Design
•
hard
Design an infrastructure to reliably serve large models (e.g., GPT-4) that require multiple GPU nodes for a single inference pass.
#Hardware Infrastructure
#Networking
#Model Serving
Software Engineer
•
System Design
•
hard
Design a system to monitor and detect model drift or harmful outputs in real-time across billions of API calls.
#Stream Processing
#Machine Learning
#Monitoring
Software Engineer
•
System Design
•
medium
Design a caching layer for LLM responses to minimize redundant compute for identical or semantically similar prompts.
#Caching
#Semantic Search
#System Architecture
Software Engineer
•
System Design
•
hard
Design a distributed data pipeline to ingest, clean, deduplicate, and tokenize petabytes of web text for LLM training.
#Big Data
#MapReduce
#Data Pipelines
#Storage
Software Engineer
•
System Design
•
hard
Design a rate-limiting system for the OpenAI API that handles millions of requests per second across different pricing tiers and token limits.
#Distributed Caching
#Redis
#Scalability
#Algorithms
Software Engineer
•
System Design
•
hard
Design the backend infrastructure for ChatGPT, focusing specifically on low-latency streaming of tokens back to the client.
#WebSockets
#Server-Sent Events
#Microservices
#Latency Optimization
Software Engineer
•
System Design
•
hard
Design a distributed file system for storing massive text datasets (petabytes) used for pre-training LLMs.
#Storage
#Distributed Systems
#High Throughput
Software Engineer
•
System Design
•
medium
Design an asynchronous batch processing system for OpenAI's Batch API, where users submit millions of prompts to be processed within 24 hours.
#Batch Processing
#Queues
#Cost Optimization
Software Engineer
•
System Design
•
medium
Design a system to monitor and detect toxic or policy-violating prompts in real-time with minimal latency impact on the main API.
#Security
#Machine Learning
#Stream Processing
Software Engineer
•
System Design
•
medium
Design a telemetry system to collect metrics and logs from millions of ChatGPT clients globally in real-time.
#Data Ingestion
#Streaming
#Analytics
Software Engineer
•
System Design
•
hard
Design a load balancer specifically for LLM inference nodes, considering that generation times vary wildly based on output length.
#Load Balancing
#Queueing Theory
#LLM Inference
Software Engineer
•
System Design
•
hard
Design a rate-limiting system for the OpenAI API that handles millions of requests per second globally.
#Distributed Systems
#Redis
#Scalability
Software Engineer
•
System Design
•
hard
Design a distributed key-value store optimized specifically for storing and retrieving LLM KV caches during inference.
#Distributed Systems
#Memory Management
#Latency Optimization
Software Engineer
•
System Design
•
hard
Design an infrastructure to reliably train a 100B+ parameter model across thousands of GPUs.
#Distributed Systems
#Machine Learning Infrastructure
#Fault Tolerance
Software Engineer
•
System Design
•
hard
Design the backend architecture for ChatGPT, focusing specifically on handling streaming responses and maintaining conversation history.
#WebSockets
#Server-Sent Events
#Databases
#State Management
Software Engineer
•
System Design
•
hard
Design a scalable Vector Database for storing and querying billions of embeddings with low latency.
#Databases
#Indexing
#Approximate Nearest Neighbor
#Distributed Systems
Software Engineer
•
System Design
•
hard
Design a vector database for semantic search and Retrieval-Augmented Generation (RAG).
#Databases
#Search
#Machine Learning
Software Engineer
•
System Design
•
hard
Design a telemetry and monitoring system for OpenAI's API that can handle millions of events per second and detect anomalies in latency or token generation rates in real-time.
#Stream Processing
#Data Pipelines
#Anomaly Detection
#Time-Series Databases
Software Engineer
•
System Design
•
hard
Design a system to handle distributed training checkpointing for a 100B+ parameter model. The system must ensure minimal downtime and data loss during frequent GPU node failures.
#Fault Tolerance
#Distributed Storage
#Network Bandwidth
#High Availability
Software Engineer
•
System Design
•
hard
Design a distributed key-value store optimized for storing and retrieving high-dimensional vector embeddings for a Retrieval-Augmented Generation (RAG) system.
#Vector Databases
#Sharding
#Replication
#Approximate Nearest Neighbor (ANN)
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.