System Design Interview
Neural machine translation for text and documents, inspired by DeepL and Google Translate: stateless APIs in front of a batched GPU model fleet, a translation memory that reuses every sentence already translated, glossaries per customer, and whole documents translated in the background. A teaching design.
Build this system yourself on the canvas below. Add components, connect them, and run traffic simulations to see where your design holds up and where it breaks.
You're in the middle of an interview session. Leaving now will end your current attempt.
Explore concept overviews, real-system examples, key tradeoffs, and interview talking points for each roadmap section.
You've conquered this phase. These are the skills you now own:
