Key takeaways
Across seventeen companies the loops look broadly alike, and the real difference is how much each employer will tell you. Who decides varies most. Google and Meta run committees, Apple's hiring manager decides, Amazon gives a trained Bar Raiser real weight, and Uber runs a panel debrief with no single gatekeeper. Five publish almost nothing, which is where unsourced prep-site advice breeds.
The pressure behind all seventeen loops is measurable. CodeSignal reported in February 2026 that cheating and fraud attempts on proctored assessments more than doubled, from 16% in 2024 to 35% in 2025. In a 2025 interviewing.io survey of 67 interviewers, 52 of them at FAANG companies, 81% suspected a candidate of using AI and 75% believed AI assistance lets weaker candidates pass interviews they would otherwise fail. None of those 52 FAANG interviewers said their company had moved away from algorithmic questions. Every process below sits against that backdrop. Employers no longer fully trust their own assessments, and most of them will not tell you what they changed in response.
Prefer to watch. The video maps all seventeen loops in eight minutes, with each company's rounds on screen. The full transcript is below.
Read the full video transcript
What changed in tech interviews in 2026
In 2026, tech companies stopped trusting their own coding interviews. CodeSignal flagged cheating on 35 percent of assessments in 2025, more than double the year before. This is how 17 top tech companies actually interview right now, using only what they publish and what named sources say on the record.
In interviewing.io's 2025 survey, 81 percent of FAANG interviewers suspected a candidate of using AI, and 75 percent believed AI was letting weaker candidates pass. Yet zero of 52 FAANG respondents said their company dropped algorithmic coding. Half expected a partial return to in-person interviews instead.
Almost nobody will tell you the AI rules either. Nvidia puts it in writing. Unapproved outside tools like ChatGPT mean disqualification. Reported accounts say Anthropic prohibits AI help in live rounds too. The other 15 have no published policy, so ask your recruiter.
How Big Tech interviews (Amazon, Google, Meta, Microsoft, Apple)
Amazon, Google, Meta, Microsoft, and Apple all funnel a phone screen into an onsite loop. The difference is who decides. At Amazon that's the Bar Raiser, a trained interviewer outside your team who runs the debrief. Your 4 to 5 onsite interviewers each grade assigned Leadership Principles, against a published bar of better than half of current employees in similar roles.
Google's loop keeps going after your last interview. Recruiter screen, 1 or 2 phone screens, an onsite of 4 to 5 interviews scored on 4 attributes including Googleyness. Then your interviewers write a packet, a hiring committee that never met you decides, and you still need a team match. Google's own FAQ says 6 to 8 weeks.
Meta sets your level inside the loop. A 45 minute coding screen with 2 problems, then 4 to 5 onsite rounds. Usually 2 coding, 1 or 2 design, and a behavioral round nicknamed Jedi. A cross functional hiring committee decides, and your performance sets where you land on the E ladder.
Microsoft's own number is lower than prep sites claim. It describes 2 to 4 conversations, each up to an hour, graded on 6 published competencies. The fixed 5 round loops you'll read elsewhere aren't company sourced. The final round is with a senior interviewer, long known inside Microsoft as the As Appropriate interview.
Apple publishes almost nothing, but the decider is clear. A recruiter screen, a hiring manager call, then 3 to 5 onsite rounds. No committee. Your hiring manager decides, in a company run by experts leading experts. So the conversation with your future manager counts more than any single technical round.
How the AI labs and hard tech interview (OpenAI, Anthropic, Nvidia, SpaceX)
The AI labs run heavier loops with stricter rules. OpenAI runs a recruiter screen, 1 or 2 technical screens, then a virtual onsite of 4 to 5 rounds over 4 to 6 hours. The signature is a 45 minute presentation of your own past project, with rapid follow ups. In one beta round, agentic coding, using AI is actually allowed.
Anthropic makes you build from scratch. Its assessment gets harder level by level, and you have to pass every hidden test to unlock the next stage. Then a hiring manager conversation, and an onsite of 4 to 5 sessions. 2 coding rounds, system design, and a values round that drives real rejections.
Nvidia publishes rules instead of rounds. There's no fixed loop, by its own account, but 3 things are in writing. An in-person onsite is required before an offer. Unapproved AI tools mean disqualification. Sessions run 30 to 60 minutes. And from its latest filing, over 40 percent of new hires arrived through referrals.
SpaceX filters before the loop starts. Export control means you'll generally need US citizenship or permanent residency. Then a hiring manager call, an asynchronous coding assessment of about 3 hours inside a 2 week window, and a multi-hour onsite built around a project presentation. You may be asked to propose several projects ahead of time, and the panel picks which one you defend.
Signature rounds at Stripe, Uber, Salesforce, Robinhood, Bloomberg
The product companies each hang their loop on a signature round. Stripe's is the bug squash. A real historical bug in an open source project, fixed in your own language and environment. Stripe also publishes its communication rubric, where the top band backs general claims with specific details.
Uber publishes more detail than anyone, down to the minutes. A 30 minute recruiter call, a 30 minute hiring manager chat, a role specific exercise, then 4 team sessions of 30 to 60 minutes. The decision is a panel debrief with the recruiter. No single gatekeeper, and no Uber page mentions a bar raiser. That term belongs to Amazon.
Salesforce tells you exactly how code gets graded, in order. Does it run and meet the spec. Then design technique. Then how it handles volume. Then readability. Running your tests doesn't count against you. The engineering onsite is 3 interviews with engineers plus a lunch interview with the hiring manager.
Robinhood runs 2 separate system design rounds in one onsite, breadth and depth, and every engineering role gets design. The onsite lasts about 5 hours, coding is graded correctness first, and a hiring committee decides from written feedback before team matching starts. Expect roughly 4 to 6 weeks.
Bloomberg's signature catches strong coders off guard. A code review round. A couple hundred lines of deliberately buggy code, and your job is finding what's wrong. Around it sit coding rounds that probe C++ deeply, system design for senior candidates, and a behavioral with an engineering manager. About 3 to 7 weeks end to end.
The companies that publish almost nothing (Netflix, Airbnb, Tesla)
Netflix, Airbnb, and Tesla publish almost nothing about their loops, and knowing that protects you from confident bad advice. Netflix documents its culture exhaustively. 8 values, a memo it spent 12 months rewriting, and an invitation to disagree with it. The loop itself is barely documented. The only first party account for experienced engineers is a 2022 engineering blog post.
Nearly everything written about Airbnb, including the famous values interview with veto power, traces to one Medium post from October 2019 describing a smaller company. Airbnb's own careers page covers the process in 3 sentences. Tesla publishes 5 named questions and one striking instruction. Its interviewers may value a compelling thought process over a correct answer, and some questions are vague on purpose.
What every tech interview loop has in common
Strip away the branding and every company that publishes anything asks for the same behavior. Uber says ask questions before you build. Salesforce says narrate your decisions. Tesla says thought process over correct answers. Stripe rewards specifics behind general claims. 5 structurally different companies, one skill. Think out loud, ask before assuming, stay specific under follow up.
And who decides varies more than what they ask. When a committee that never met you reads a packet, like at Google or Meta, your real audience is your interviewer's notes, so make them easy to write. When one manager decides, like at Apple, that conversation is the interview. Prep for the decider and you're prepping the real loop.
How to prep for one specific company's loop
You'll learn more from one recruiter email than from every prep site combined. Ask 5 questions before your first round. What are the stages. How long is each. Who is in the room. Virtual or in person. And what's the AI policy. Recruiters answer readily, and their answers are current in a way no article can be.
Then rehearse the loop you're actually facing, out loud. Question banks cover the mechanics. Coding platforms drill the technical rounds. And voice mock interview tools, Four-Leaf is one of them, let you practice a specific company's rounds by speaking, closing the gap between knowing an answer and delivering it under pressure.
The full breakdown of all 17 companies, with every source linked, is in the description. Practice the loop you're facing at four-leaf.ai.
Which tech companies publish their interview process?
| Company | How much it publishes | The round or rule that decides |
|---|---|---|
| Salesforce | A lot, split by function | Publishes its HackerRank grading order: does it run, then design, then scale, then readability |
| Uber | A lot, including durations | Recruiter and panel debrief against named competencies and values |
| Nvidia | Rules, not stages | Required in-person onsite, and outside AI tools disqualify |
| Amazon | Its principles and its process roles | The Bar Raiser, a trained interviewer outside the team |
| Its attributes, not its loop | A hiring committee, not your hiring manager | |
| Microsoft | Six competencies, no round list | A senior final interviewer, no published program behind it |
| Netflix | Its culture exhaustively, its loop barely | Culture memo alignment, and it invites disagreement |
| Stripe | A detailed guide from 2018, a generic shape today | A published communication rubric with scoring bands |
| Anthropic | Its mission and values, none of its sequence | A values round that drives a lot of rejections |
| OpenAI | Not its loop, which leaves secondary accounts | A point of view on AI, threaded through every round |
| Apple | Almost nothing | The hiring manager, who decides |
| Meta | Fragments | A hiring committee, with level set inside the loop |
| Bloomberg | Almost nothing | A code review round that catches strong coders |
| SpaceX | Almost nothing | A project presentation to the team you would join |
| Robinhood | Almost nothing | Two system design rounds in one onsite |
| Tesla | How to behave, not what happens | Thought process over correct answers, by its own instruction |
| Airbnb | Its values and remote policy in full, its loop not at all | Unknown, and the company will not say |
The right-hand column is the useful one. Read down it and the loops that look identical from the outside turn out to be answering different questions, and to be decided by different people.
The four things worth knowing across all of them
Who decides varies more than what they ask. Google and Meta run committees. Apple's hiring manager decides. Amazon gives a trained outsider real weight. Uber describes a panel debrief with a recruiter and no single gatekeeper. This changes your preparation more than the question bank does. If a committee that never met you reads a written packet, the interviewer's notes are the artifact being judged, and making them easy to write is a real strategy. If your hiring manager decides, the conversation with that one person carries the weight.
Almost nobody publishes an AI policy. Nvidia states plainly that unapproved outside tools such as ChatGPT will disqualify you. Reported accounts say Anthropic prohibits AI help during live interviews. Beyond that, published policies are scarce, and prep sites fill the silence with confident assertions of bans that no company has stated. Ask your recruiter. It's a normal question and the answer is genuinely useful.
In-person is returning, quietly and unevenly. Nvidia requires an onsite before it will consider an offer, in writing. Most companies leave the format open. Several careers pages describing everything as virtual have not been touched since 2020, and at least one still carries a live pandemic banner. Format claims age badly and this is the detail that costs you a flight.
The most repeated claims are the least sourced. Bar raiser rounds get attributed to companies that never used the term. Fixed round counts appear as fact while three sites give three different numbers. Acceptance rates get quoted with no filing behind them. In seventeen write-ups, the pattern was identical every time: the more specific and confident a claim, the less likely it had a source.
Why do some tech companies publish nothing about their interviews?
Five of the seventeen publish almost nothing, and they include some of the most searched employers in tech. That vacuum is where the prep-site industry makes its living, and the content that fills it isn't lying so much as guessing and then presenting the guess in a table.
Airbnb is the clearest case. Nearly every description of its process, including the claim that non-technical employees run values interviews with veto power, traces to a single Medium post from October 2019 by a named former executive. He was describing a company of just over five thousand people. Airbnb now reports around 8,200 and went through a 25 percent staff cut in between. The source is real. It's also nearly seven years old and nobody quoting it says so.
The workable response is to ask your recruiter the process questions directly, in one message, early, rather than hunting for a better prep site. What are the stages, how long is each, who is in the room, is it virtual or in person, and what is the AI policy. Recruiters answer this readily. It is their job, it costs them nothing, and the answer is current in a way no article can be.
What do tech interview loops have in common?
Strip out the branding and the same instruction appears across every company that says anything at all.
Uber's engineers say ask questions before you build, and say it at three different levels of seniority. Salesforce says narrate your decisions on the whiteboard. Tesla writes that its interviewers may value a compelling thought process more than a correct answer, and that some questions are vague deliberately. Stripe publishes a communication rubric whose top band is about supporting general claims with specific details. Nvidia's sessions run 30 to 60 minutes, which only works if you get to the substance fast.
That's five companies with nothing in common structurally, all describing the same behavior: think out loud, ask before assuming, be specific under follow-up. It's the thing that transfers across every loop in this table, and it happens to be the one thing that reading about it will not teach you. Our guides to preparing for technical interviews and structuring behavioral answers cover the mechanics, and practising out loud is what closes the gap between knowing your answer and delivering it under pressure.
How are Four-Leaf's company interview guides sourced?
Every Four-Leaf company interview guide linked here follows the same sourcing rules, and they are worth stating because most interview content follows none of them.
Company-owned sources first: careers pages, engineering blogs, newsrooms, and SEC filings. Then named individuals on the record, or reporting from a named publication. Aggregator and prep sites are never cited as evidence, only used to identify claims that need checking.
Where a company publishes nothing, the Four-Leaf guide says so instead of filling the gap. Where a claim is widely repeated but unsourced, the guide names it and explains what is actually known. Where a source is real but old, the guide dates it. Numbers get pulled from the filing rather than from another article about the filing.
That approach produces shorter, less satisfying answers in places. It also means that when one of these guides tells you a company requires an in-person onsite or grades correctness before elegance, there is a sentence on a company page behind it, and you can go read it yourself.
The seventeen guides
Publish the most. Salesforce, Uber, Nvidia, Amazon. Netflix belongs at the top of this list on culture and at the bottom on process. It documents its values, its memo, and its pay model more thoroughly than anyone here, and publishes almost nothing about its interview loop.
Publish some of it. Google, Microsoft, Stripe, Anthropic, OpenAI, Meta.
Publish almost nothing. Apple, Airbnb, Bloomberg, SpaceX, Robinhood. Tesla sits just outside that group. It publishes five named questions and an instruction about how to behave, and nothing at all about its stages.
If you're interviewing at a company not on this list, the method transfers. Find the careers page, the engineering blog, and the most recent annual report. Read what the company says about how it hires and what it says about its own headcount and turnover. Then ask your recruiter the five process questions. You will know more than any article about that company, including this one.