Openai 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."
Improve classifier with noisy multi-annotator labels
Problem You are given a text dataset for a binary classification task (label in \{0,1\}). Each example has been labeled by multiple human annotators, ...
Design a sandboxed cloud IDE
System design: Sandboxed cloud IDE (Colab-like) Design a multi-tenant, browser-based cloud IDE/notebook that lets users run code in an isolated sandbo...
Design a payment system with holds and batching
Scenario Design a payment system that supports: 1. Hold payment (authorization): Place a temporary hold on a customer’s payment method for a given amo...
Rebalance shard ranges under overlap limit
You maintain a set of data shards. Each shard owns an inclusive integer key range [start, end]. `python class Shard: id: str start: int en...
Implement follow graph with snapshots
Problem You are building an in-memory social network relationship store that supports time-travel queries. Users are identified by integers. A directe...
Explain KV cache in Transformer inference
Question In Transformer-based language model inference, what is a key-value (KV) cache? Explain: - What gets cached (tensors, shapes at a high level) ...
Design a RAG system with evaluation
Scenario You are asked to design a Retrieval-Augmented Generation (RAG) system that answers user questions using a private corpus (e.g., internal docs...
Implement an in-memory SQL-like table
Problem Implement a simple in-memory database for one table. All values are strings. Each row is identified by a rowKey (string). Each row contains co...
Implement credit ledger with out-of-order timestamps
Problem You are implementing a GPU credit ledger that supports adding credits, charging credits, and querying balances. Requests can arrive in any tim...
Implement type AST and infer generics
Toy language type system: AST + generic inference You are implementing a tiny type system for a toy language with: - Primitive types: char, int, float...
Implement toy-language types and generic substitution
Problem: Toy Language Type System (Printing + Generic Resolution) You are implementing a small type system for a custom “Toy Language”. Types can be: ...
Design a distributed crossword fill solver
Scenario You are building a service that fills a crossword-like grid with words. - The board size is not specified; assume a medium board around 50×50...
Simulate turn-based monster team battle
Design an object-oriented model and implement the core battle logic for a turn-based fight between two teams of monsters. The system should simulate t...
Design a Slack-like real-time messaging system
System Design: Slack-like Messaging (DMs + Channels) Design a Slack-like real-time messaging system that supports: Core features - Direct Messages (DM...
Implement a persistent sharded key-value store
Problem Implement a simple key–value store that persists data on disk. You must store the data in fixed-size shards, where each shard is saved in one ...
Design a crossword puzzle solver system
Design a crossword puzzle solver Design a system that can solve a crossword puzzle. Inputs - A 2D board grid: - Some cells are blocked (black square...
Debug and fix a PyTorch Transformer training loop
Minimal Causal LM Debugging and Optimization Context You are given a tiny causal decoder-only language model implemented in PyTorch. It appears to "tr...
Compute time to infect all cells
You are given an n × m grid representing people in a city. - Each cell is either infected (1) or healthy (0). - Two cells are neighbors if they share ...
Implement IPv4 iterators and CIDR expansion
Problem: IPv4 Iterators and CIDR Expansion You are implementing utilities to iterate over IPv4 addresses. An IPv4 address is in dotted-decimal form: A...
Implement follow graph with snapshots and recommendations
Design and implement an in-memory “social network” component that supports following/unfollowing, point-in-time (snapshot) queries, and a simple recom...