OpenAI Interview Questions
Practice 274 real OpenAI interview questions for 2026 — real interview questions drawn from actual interviews with detailed solutions. OpenAI interview questions on this page span Coding & Algorithms, System Design, ML System Design, Machine Learning, and Data Manipulation (SQL/Python) and cover roles like Software Engineer, Machine Learning Engineer, Data Scientist, Android Engineer, and Frontend Engineer. For interview preparation expect a focus on production ML systems, scalable services, numerical correctness, experimental design, and communication: interviewers evaluate architecture decisions, tradeoffs, measurable impact, and the ability to ship robust systems under uncertainty. The loop runs stage-by-stage: a recruiter screen, a technical phone screen (coding or design), a virtual onsite with focused rounds (practical coding, system and ML design, model/debug deep dives, and behavioral/mission-fit), then team match and offer; typical timeline is about 4–8 weeks and difficulty is high. Practical coding leans toward real-world engineering problems rather than pure LeetCode puzzles. Software-engineer themes include consistent-hashing sharding, GPU job scheduling for text-to-video, payment systems with exactly-once semantics, and video orchestration. ML tracks emphasize resumable iterators and checkpoint/restore, streaming-entropy numerical stability, 1-NN implementations and debugging model backprop; data science focuses on churn, free-trial A/B tests, and SQL retention analysis. Use project deep-dives and worked examples when you prep.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"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."
Compute infection spread time
This question evaluates understanding of grid-based graph traversal and propagation dynamics, testing competencies in breadth-first search concepts, s...
Refactor a chat message processing function
This question evaluates a candidate's ability to refactor and implement clear, maintainable message-processing logic—covering code organization, comma...
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: ...
Build a Compose Rating Card
This question evaluates proficiency in Android UI development with Kotlin and Jetpack Compose, emphasizing custom composable design (a stateless star-...
Implement Time-Aware GPU Credit Ledger
This question evaluates the ability to design efficient data structures and algorithms for time-aware resource accounting, including handling overlapp...
Design a GPU-Efficient Video Service
This question evaluates competency in designing GPU-constrained, production-grade ML serving platforms, emphasizing resource management, job schedulin...
Describe relevant PM experience
You are interviewing for a Product Manager role at OpenAI. Prepare outcome-oriented behavioral answers for these prompts: 1. Tell me about your experi...
Design a minimal ChatGPT with presets
System Design: Minimal ChatGPT-like Service With Reusable Presets Context Design a multi-tenant conversational AI service that supports reusable prese...
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 ...
Design a CI/CD system with stuck-job handling
This question evaluates a candidate's competence in designing fault-tolerant distributed systems, focusing on state management, failure detection, saf...
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 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...
Convert IPv4 Ranges to CIDR Blocks
Implement a function that summarizes a consecutive IPv4 address range using the smallest possible list of CIDR blocks. You are given: - start_ip: a va...
Design a URL shortening service
This question evaluates a candidate's ability to design scalable, highly available backend services, testing competencies in API design, data modeling...
Manage GPU Credits with Expiration
Question Implement a GPU credit manager supporting out-of-order operations: API add_credit(id, amount, timestamp, expiration) // adds ‘amount’ credit...
Implement Social Graph Snapshot Queries
This question evaluates understanding of graph data structures, query-efficient indexing, and algorithmic trade-offs for static directed graphs, inclu...
Implement Chat Event Counter
Design an in-memory counter for chat activity. You need to implement a class with the following two methods: `text processEvent(userId: string, chatId...
Implement a serializable key-value store
Implement in C++ an in-memory key-value store with: - put(key: string, value: string), get(key) -> optional<string>, erase(key). - serialize() -> vect...
Compute Infection Time in a Grid
This question evaluates competence in grid-based graph traversal and simulation of propagation dynamics, focusing on state management, time-step model...
Implement Disease and Friend Snapshot Models
You are asked to solve two independent coding problems. Problem 1: Simulate disease spread on a contact graph There are n people labeled 0 through n -...