Scope a vague prompt, then write working code for it
They grade
First-principles reasoning over memorized architectures
Heads-up
Not in every loop. The domain follows the team: infrastructure, networking, frontend or ML systems.
Questions SpaceXAI asks in this round 8
Design Google DocsSystem designMany people edit the same document at once and see each other's changes and cursors live, with offline edits and full version history.
Last asked Sep 2026
Design TinyURLSystem designTurn long URLs into short links and redirect visitors fast, at billions of redirects a day, with optional custom aliases and expiry.
Last asked Sep 2026
Design a rate limiterSystem designDesign a service that limits how many requests each API client can make. It sits in front of every API endpoint at high traffic.
Last asked Jan 2026
How data collection shapes model performanceML designPick a project from your resume and explain how its data was collected and processed. Then discuss how data choices (coverage, label quality, noise, imbalance, distribution shift)…
Last asked Sep 2026
Design a notification systemSystem designA shared service other teams call to send push, email and SMS notifications: templates, user preferences, retries, deduplication and rate limits.
Last asked Mar 2026
Design a RAG system over company docsAI systemEmployees should be able to ask questions about internal documents (Drive, Confluence, Slack, GitHub) and get grounded answers with citations.
Last asked Jan 2026
Design a retrieval-augmented generation systemAI systemDesign a RAG system: users ask questions and an LLM answers using documents retrieved from your corpus. Cover ingestion and chunking, embeddings and the index, retrieval and…
Possibly retired
Design ChatGPTAI systemDesign a consumer chat product backed by a large language model: conversations, streamed replies, history across devices, at 100M weekly users.
Question types
SpaceXAI system design interview: questions and format