731 real OpenAI interview questions (2026): OpenAI Software Engineer Fulltime Tech Phone Screen Interview Experience. Verified candidate reports — coding, system design, behavioral.

开放爱昂赛面经

OpenAI 过经

開放愛 碼農全套過經

OpenAI phone screen

開放愛 全套

开放爱 店面 挂经

开放爱VO过经

开放爱电面sd

开放爱 Technical Deep Dive 有什么好的策略

开放爱recruiter给的onsite problem prompt，一般有多准？

开放爱

openai 开放爱 tech screen coding

 OpenAI ML Coding，顺便求45min general coding

开放爱全套挂经

openAI 电面详细面经，求加米

爱开放店面两轮

开放爱全套 （team matching)

coding加面

openai vo ml coding面啥 - infra岗

开放爱SDE General Coding 60分钟 面试

## Pipeline

A typical OpenAI loop runs:

1. **Recruiter / HR screen** (~30 min). Process intro + standard BQ (why OpenAI, why leave, salary expectations, location). HR will not share interview-specific feedback later — this is a stated company policy, not an oversight.
2. **Phone screen — coding** (60 min). Almost always one prompt occupying the entire hour, with 3-5 progressive sub-parts. The interviewer expects the first 2-3 parts done with clean code and edges handled.
3. **Final loop** — by the company's own framing, "4–6 hours of final interviews with 4–6 people over 1–2 days." On a SWE / RS / RE pipeline this concretely lands as 4-5 rounds:
    - 1-2× coding (sometimes a separate ML programming round for RS / RE),
    - 1× system design or ML system design,
    - 1× technical deep dive (slide-based, on your strongest project),
    - 1× HM behavioral — the final gate.

XFN / PM / cross-functional pitch rounds appear on some loops.

## Typical timeline

- Resume review window after application: roughly one week.
- Recruiter reachout → HR call → phone screen: typically 2-3 weeks apart.
- Phone screen → final loop: 1-2 weeks scheduling, then the loop runs over 1-2 consecutive days.
- Final loop → decision: target is "within one week of final interviews," though team-match cases can stretch this to 1-2 weeks longer.

## Format

The default mode is **virtual** (video calls with screen-share for technical rounds). Candidates may request to interview onsite in San Francisco; that's the documented opt-in, not the default. Pre-loop, the recruiter confirms which rounds use Colab vs the standard coding platform.

## Signaling notes

- The HM BQ + technical deep dive are **gated** — they only "unlock" if the technical rounds passed. Reaching them is itself a positive signal.
- HR asking for internal references on Day 1 after the interview is widely read as a borderline-status signal — not a guaranteed pass.
- Quiet HM in the BQ round ("HM not selling the role") is widely cited as a negative signal. Counter it by proactively pitching role fit rather than passively answering.

## What the bar emphasizes

The published hiring philosophy is explicitly *not* credential-driven: the company flags collaboration, communication, openness to feedback, and mission alignment as core axes alongside the technical bar. Practically this maps onto the deep dive (collaboration + communication signals) and the HM BQ (mission alignment), which is why "Why OpenAI / AGI / safety" gets its own dedicated round and is treated as a real gate, not a formality.

## Post-loop add-on: the 15-minute HM call

A short (≈15 min) HM call sometimes appears between the loop pass signal and the team-match phase. Recruiters frame it as "no prep needed, just a chat," but it is graded: candidates have moved forward after positive technical feedback only to be rejected after a flat HM call. Treat it as a compressed HM round — have a sharp 'why OpenAI' and one timeline-pressure story ready, even though the format reads casual.

## Compensation & process signals (mid-2026)

- **Recruiter speed**: outreach can land within ~2 days of applying, weekends included.
- **Three-stage framing** a recruiter recently laid out: Stage 1 — two technical rounds (~60 min data-structures/coding + a system-design round); Stage 2 — virtual onsite (60-min coding, a live refactoring/optimization round, and the slide-based technical deep dive); Stage 3 — hiring manager.
- **Base salary** quoted in a recent recruiter call: roughly up to ~$327K (L5) and ~$385K (L6) base; total comp adds equity on top.
- **Debrief cadence** is commonly Tuesday / Friday, so the wait between the final round and a decision tends to bucket around those days.
- **Performance review** is framed loosely around 90-day and 1-year checkpoints.

## Late-stage rejection patterns

Positive mid-loop feedback does **not** predict the outcome. Multiple candidates cleared the technical loop with explicitly positive signals, then either (a) were given a surprise add-on round (e.g. a director "match" conversation) and rejected afterward with "not enough positive signal to send to hiring committee," or (b) sat in limbo while the team decided. Treat every round — including casual-sounding add-ons — as graded, and don't read a smooth technical loop as a done deal.

## Infra / AI-infra track

Candidates applying to AI-infra roles report a five-round virtual onsite that differs from the standard SWE shape: an **ML coding** round (60 min) *in addition to* a **systems coding** round (75 min), a **system design** round (60 min), a **hiring-manager** round, and a **technical deep dive**. The extra ML coding slot is the distinguishing piece — SWE loops usually pair a single coding round with system design, whereas infra loops carve out a separate ML-flavored coding round on top. The 75-minute systems round tends to lean on concurrency, so prepare for that explicitly.

## Team match (mid-2026)

Even after a passing hiring-manager chat, team match in mid-2026 is frequently slow, with candidates pointing to tight headcount rather than their own performance as the bottleneck. A representative recent onsite combination was BQ + technical (slide) presentation + a payment-system design + the plant-infection coding problem, followed by a separate HM team-match conversation that dragged on for weeks. Keep your own pipeline warm during this window — a clean loop does not guarantee a fast match.

## Hiring-committee spike signals

A late-June loop adds a sharper version of the team-match signal: after a positive onsite, the recruiter said the original team was full and the packet needed 1-2 clear "spike" / strong-hire signals before going to hiring committee. Read this as a reason to make one or two rounds unmistakably distinctive rather than merely solid across the board; a clean but flat loop can still stall at HC or team match.


Loop Structure & Timeline

The No-AI Rule (and what is allowed)

The Single-Prompt Phone-Screen Format

Technical Deep Dive & HM Behavioral

Tooling & Platforms

Research / RS Onsite Track

OpenAI pairs an unusually high raw-coding bar with explicit no-AI-tools rules during most interviews — a deliberate contrast with the product. Phone screens often run a single multi-part simulation for the full hour, and senior loops add deep ML and research-grounded system-design rounds that probe mechanism, not vocabulary.

Infection Spread / Cellular Automata

OpenAI interview questions (2026)

Real Interview Questionsfrom Real Candidates

Real Interview Questions
from Real Candidates