OpenAI interview practice

OpenAI interview questions and coding practice. Start with verified evidence.

Practice from 47 OpenAI-tagged public coding problems, organized only by the stage, topic, difficulty, and recency metadata FastPrep can verify. The broader public catalog also includes 13 system-design exercises, 1 project-coding exercise.

Catalog
61 public practice assets (47 coding)
Start here
Use the stage named in your invitation
Evidence
OA · Phone · Onsite metadata, shown in context
OpenAI practice workspace
Stage-led · public FastPrep catalog

Phone practice path

Phone Screen

Practice solving while explaining assumptions, tradeoffs, and complexity. Problems are ranked by repeated public catalog sightings.

Solve one end to end

35 OpenAI-tagged Phone Screen problems available.

CompanyProblemDifficultyPublic evidenceAction
OPOpenAI
Versioned Social NetworkDesignHash TableHard
11 public reportsLast reported Aug 2026
Practice
OPOpenAI
GPU Credit LedgerDesignSimulationHard
8 public reportsLast reported Aug 2026
Practice
OPOpenAI
Sparse Plant Infection SimulationSimulationHash TableHard
6 public reportsLast reported Aug 2026
Practice
OPOpenAI
Streaming Entropy, Part 1: Batch EntropyArrayMathEasy
5 public reportsLast reported Jul 2026
Practice
OPOpenAI
Streaming Entropy, Part 2: Numerically Stable EntropyArrayMathMedium
5 public reportsLast reported Jul 2026
Practice
OPOpenAI
Streaming Entropy, Part 3: Block-wise EntropyArrayMathMedium
5 public reportsLast reported Jul 2026
Practice
OPOpenAI
Streaming Entropy, Part 4: Stable Streaming EntropyArrayMathHard
5 public reportsLast reported Jul 2026
Practice
OPOpenAI
Plant Infection Simulation, Part 4: Death CountdownMatrixSimulationHard
4 public reportsLast reported Aug 2026
Practice
OPOpenAI
Versioned Followers and FolloweesDesignGraphMedium
4 public reportsLast reported Aug 2026
Practice
OPOpenAI
Versioned Friend RecommendationsGraphBinary SearchHard
3 public reportsLast reported Aug 2026
Practice
OPOpenAI
Resumable List IteratorArrayDesignMedium
3 public reportsLast reported Jun 2026
Practice
OPOpenAI
Aggregate Machine TopologyTreeGraphMedium
2 public reportsLast reported Aug 2026
Practice
OPOpenAI
In-Memory Key-Value Store SerializationHash TableStringMedium
2 public reportsLast reported Aug 2026
Practice
OPOpenAI
Prefix Matrix Products and AutogradMatrixPrefix SumHard
2 public reportsLast reported Aug 2026
Practice
OPOpenAI
Memory AllocatorDesignIntervalsMedium
2 public reportsLast reported Jul 2026
Practice
OPOpenAI
Grid Infection Spread Until StableMatrixSimulationMedium
2 public reportsLast reported May 2026
Practice
OPOpenAI
Grid Infection with Immune Cells Until StableMatrixSimulationMedium
2 public reportsLast reported May 2026
Practice
OPOpenAI
Dependency-Aware Agent Task SchedulerGraphTopological SortMedium
1 public reportLast reported Aug 2026
Practice
OPOpenAI
Modal Lock and Fair Modal LockDesignSimulationHard
1 public reportLast reported Aug 2026
Practice
OPOpenAI
One-Nearest-Neighbor ClassificationArrayMatrixEasy
1 public reportLast reported Aug 2026
Practice

01 · Stage workflow

Practice the stage you actually have next.

The current public inventory is phone-screen heavy and also contains design practice, so rehearse clear reasoning aloud alongside implementation and architecture work. Your invitation and recruiter guidance remain the source of truth.

  1. 01

    Online Assessment

    Use the timing and format in your invitation as the source of truth. In practice, work without interruptions, budget time to read constraints, and reserve a final review window for boundary cases.

    • State the input, output, and complexity target before coding.
    • Implement one complete solution inside a fixed timebox.
    • Run small, duplicate, empty, and boundary cases before finishing.
  2. 02

    Phone Screen

    Treat the problem as a conversation. Clarify the contract, describe the approach before implementation, and keep narrating meaningful decisions while you code and test.

    • Ask clarifying questions instead of silently filling gaps.
    • Explain the data structure and expected complexity.
    • Walk through at least one example and one edge case aloud.
  3. 03

    Onsite

    Use the catalog's onsite labels as practice context, not as a promise about a specific loop. Focus on collaborative problem solving: compare approaches, implement cleanly, and explain how the solution behaves at scale.

    • Compare a straightforward approach with the optimized one.
    • Keep the implementation readable while discussing tradeoffs.
    • Test the result, then name follow-up improvements explicitly.

02 · Broader technical practice

Practice beyond standalone coding questions.

These public OpenAI-tagged exercises cover additional technical formats. They are included only when a verified catalog record and a crawlable practice page both exist.

System designLast reported Aug 2026

Design a Device Demand-Response Control System

Design a demand-response control plane that detects overload, protects critical loads, requests voluntary reductions, and reconciles unreliable device evidence.

Open practice
System designLast reported Aug 2026

Power Plant Operations Platform

Design a platform that ingests generating-unit telemetry and runs durable distributed analyses for plant operators.

Open practice
System designLast reported Aug 2026

Digital Game Distribution Platform

Design a global platform for acquiring games, maintaining user libraries, delivering large builds and patches, authorizing launches, and processing refunds.

Open practice
System designLast reported Aug 2026

Design an Online Chess Platform

Design matchmaking, authoritative game sessions, routing, and chess-clock timeout behavior for an online chess service that can grow from a new product.

Open practice
System designLast reported Aug 2026

Design a Blob Storage Service

Design durable upload, authorized download, content-addressed byte reuse, and reference-safe deletion for large opaque objects.

Open practice
System designLast reported Aug 2026

Design a Distributed Video Generation Platform

Design a Sora-like platform that durably schedules long-running video-generation jobs, survives infrastructure failures, and publishes complete video artifacts.

Open practice
System designLast reported Aug 2026

Payment Hold, Charge, and Settlement

Design a payment lifecycle service that moves funds through hold, charge, and settlement with idempotency and reconciliation.

Open practice
System designLast reported Aug 2026

Design a Stateless Generative AI Chat Service

Design a highly available text-generation service that streams model responses, scales scarce inference capacity, recovers from failures, and exposes useful operational metrics.

Open practice
System designLast reported Aug 2026

Design In-Store Merchant Payment Reconciliation

Design a correct payment-recording and nightly reconciliation system for in-store merchants and their acquiring banks.

Open practice
System designLast reported Aug 2026

Design a Distributed Crossword Solver

Design a distributed search service that solves crossword grids while preventing workers from exploring the same logical search state.

Open practice
System designLast reported Aug 2026

Design an Online Payment Processing System

Design a reliable payment path that turns an order into one captured charge and reconciles uncertain provider outcomes.

Open practice
System designLast reported Aug 2026

Design an Agent Evaluation Platform

Design a reusable platform that measures agent quality from online feedback and reproducible offline evaluations without coupling teams to one agent implementation.

Open practice
System designLast reported Aug 2026

Design a Declarative Infrastructure Orchestrator

Design a two-region control plane that plans and applies versioned infrastructure changes safely across unreliable provider APIs.

Open practice
Project codingLast reported Jul 2026

Repair a Deployed Django Rate Limiter

Debug a multi-rule Django rate limiter so sliding windows stay independent, atomic, bounded, and safe under concurrent requests.

Open practice

03 · Evidence boundary

What “OpenAI interview questions” means here.

It means practicing transferable implementation, testing, and technical reasoning with public catalog assets FastPrep tags to OpenAI. It does not mean FastPrep has access to the company's assessments or any private interview bank.

Repeated public sightings and last-reported dates can help you prioritize practice, but they cannot predict the questions, format, or platform in a specific interview.

  • Only OpenAI-tagged FastPrep catalog problems appear above.
  • Stage labels and report dates remain visible as context.
  • No official, private, leaked, or proprietary questions are claimed.

04 · Plain answers

OpenAI interview practice questions, answered plainly.

This page owns technical-practice intent for OpenAI. Hiring activity, timelines, and market signals remain on the separate hiring-insights page.

01Does this page include OpenAI design or project practice?

Yes, when the public catalog supports it. This page currently links 13 system-design exercises, 0 low-level-design exercises, and 1 project-coding exercise tagged to OpenAI. Empty formats are omitted rather than padded with generic recommendations.

02Is FastPrep affiliated with OpenAI?

No. FastPrep is an independent interview-preparation product and is not affiliated with OpenAI. The page uses FastPrep's public practice catalog and does not claim official, private, leaked, or proprietary employer questions.

03How are OpenAI problems assigned to interview stages?

Stage labels come from FastPrep's public problem metadata. A problem can carry more than one reported stage, and hiring processes can change by role, level, location, and date. Treat the labels as preparation context, not a guarantee.

04Which OpenAI interview stage should I practice first?

Start with the stage named in your invitation or recruiter message. If no stage is known, use the largest available set to build general problem-solving fluency, then rehearse explanation and testing separately.

05Does this page predict the OpenAI interview process?

No. Public catalog counts, stage tags, and last-reported dates can help prioritize practice, but they cannot predict a specific interview's questions, sequence, timing, or platform.

Your next stage, made concrete

Pick a problem. Solve it end to end.

Start with the stage named in your invitation, then use public evidence as context—not as a promise of what you will be asked.

Open the practice set