Openai Software Engineer ML System Design Interview Questions
Practice the exact questions companies are asking right now.
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design a GPU credit system and scheduler
Design a GPU Credit Accounting and Scheduling Service (Technical Screen) Context You are designing a backend service for an ML platform that runs trai...
Design a Retrieval-Augmented Generation (RAG) system
Prompt Design a Retrieval-Augmented Generation (RAG) system that answers user questions using an organization’s internal documents (PDFs, wiki pages, ...
Design an enterprise RAG assistant for internal docs
Scenario Design an enterprise GPT-style assistant that allows employees to ask questions about internal company documents (policies, wikis, specs, tic...
Design an AI chatbot with browser storage
System Design: Browser-Only Chatbot With Streaming and No Server-Side Conversation Storage Context Design an AI chatbot where all user messages and co...
Design AI chat bot system
System Design: In-Browser AI Chat With Streaming Requirements Design a web-based AI chatbot system that satisfies all of the following: 1. User messag...
Design an End-to-End ML System
System Design: Real-Time Recommendation ML System Context You are tasked with designing an end-to-end machine-learning system that serves real-time re...
Design ChatGPT homepage with streaming choices
System Design: ChatGPT‑Style Homepage with Streaming Goal Design a ChatGPT‑style web homepage end to end. Users should type a prompt and see the model...
Design a response-ranking ML system
System Design: Ranking Candidate Text Responses to Maximize User Satisfaction You are designing an end-to-end machine learning system that, given a us...