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How These Guides Are Organized

AI Labs and AI Infrastructure

Anthropic

OpenAI

xAI

Google DeepMind

Perplexity

Scale AI

Cursor (Anysphere)

Databricks

Mistral AI

Cohere

Hugging Face

ElevenLabs

Groq

Runway

Together AI

Cerebras

Glean

Sierra

Harvey

Thinking Machines Lab

Safe Superintelligence (SSI)

Mercor

Cognition

Decagon

Abridge

Physical Intelligence

Lovable

Big Tech

Apple

Microsoft

Netflix

Nvidia

Tesla

Adobe

LinkedIn

Oracle

IBM

Intel

Cisco

Qualcomm

AMD

SAP

Consumer, Marketplace, and Commerce

Uber

Airbnb

DoorDash

Spotify

Shopify

TikTok and ByteDance

Reddit

Duolingo

Roblox

Discord

Walmart Global Tech

Pinterest

Snap

Instacart

Lyft

Booking.com

Expedia

eBay

Twitch

Epic Games

Unity

Fintech and Quantitative Finance

Stripe

PayPal

Robinhood

Ramp

Citadel

Jane Street

Two Sigma

Bloomberg

Capital One

Intuit

Block (Square)

Chime

Plaid

Brex

Affirm

Klarna

Revolut

Nubank

Wise

Toast

Hudson River Trading

Jump Trading

D. E. Shaw

JPMorgan Chase

Goldman Sachs

Developer Tools and Enterprise Software

GitHub

Atlassian

ServiceNow

Salesforce

Snowflake

Cloudflare

Figma

Notion

Canva

Vercel

Wiz

Workday

Rippling

MongoDB

Redis

GitLab

Confluent

HashiCorp

Docker

Elastic

Grafana Labs

Temporal

Supabase

Linear

Airtable

Miro

Slack

Twilio

Okta

Zoom

Dropbox

Zscaler

Palo Alto Networks

SentinelOne

Snyk

Deel

Gusto

Samsara

Defense and Frontier Tech

Anduril

Palantir

SpaceX

Waymo

Zoox

Neuralink

Rivian

Boston Dynamics

What These Loops Have in Common (and Where They Diverge)

FAQ

Tech Company Interview Guides: How 134 Top Companies Interview

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Arslan Ahmad
Round-by-round interview guides for 134 top tech companies: what each loop looks like, what they screen for, and how to prepare.
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How These Guides Are Organized

AI Labs and AI Infrastructure

Anthropic

OpenAI

xAI

Google DeepMind

Perplexity

Scale AI

Cursor (Anysphere)

Databricks

Mistral AI

Cohere

Hugging Face

ElevenLabs

Groq

Runway

Together AI

Cerebras

Glean

Sierra

Harvey

Thinking Machines Lab

Safe Superintelligence (SSI)

Mercor

Cognition

Decagon

Abridge

Physical Intelligence

Lovable

Big Tech

Apple

Microsoft

Netflix

Nvidia

Tesla

Adobe

LinkedIn

Oracle

IBM

Intel

Cisco

Qualcomm

AMD

SAP

Consumer, Marketplace, and Commerce

Uber

Airbnb

DoorDash

Spotify

Shopify

TikTok and ByteDance

Reddit

Duolingo

Roblox

Discord

Walmart Global Tech

Pinterest

Snap

Instacart

Lyft

Booking.com

Expedia

eBay

Twitch

Epic Games

Unity

Fintech and Quantitative Finance

Stripe

PayPal

Robinhood

Ramp

Citadel

Jane Street

Two Sigma

Bloomberg

Capital One

Intuit

Block (Square)

Chime

Plaid

Brex

Affirm

Klarna

Revolut

Nubank

Wise

Toast

Hudson River Trading

Jump Trading

D. E. Shaw

JPMorgan Chase

Goldman Sachs

Developer Tools and Enterprise Software

GitHub

Atlassian

ServiceNow

Salesforce

Snowflake

Cloudflare

Figma

Notion

Canva

Vercel

Wiz

Workday

Rippling

MongoDB

Redis

GitLab

Confluent

HashiCorp

Docker

Elastic

Grafana Labs

Temporal

Supabase

Linear

Airtable

Miro

Slack

Twilio

Okta

Zoom

Dropbox

Zscaler

Palo Alto Networks

SentinelOne

Snyk

Deel

Gusto

Samsara

Defense and Frontier Tech

Anduril

Palantir

SpaceX

Waymo

Zoox

Neuralink

Rivian

Boston Dynamics

What These Loops Have in Common (and Where They Diverge)

FAQ

Most candidates prepare for "the tech interview" as if every company runs the same one. They do not. At Airbnb, a values interviewer from outside your team can veto an offer, even after strong technical rounds. At Cursor, the deciding round is a paid project of about eight hours in the company's real codebase, with AI tools encouraged. At Shopify, the signature interview is a chronological walk through your whole life. At Databricks, the round that removes prepared candidates is live multi-threaded programming. Jane Street will tell you not to use OCaml. Anthropic will tell you exactly when you may and may not use Claude. Ramp puts a small puzzle inside the job application itself.

Interviews differ more by company than by role. After the fundamentals, the most useful preparation is studying the specific company you face. This guide collects our research-backed interview guides for 134 top technology companies, grouped by sector. Each entry explains what makes that company's loop (its full sequence of interview rounds) distinctive. Each entry also links to the full round-by-round breakdowns.

How These Guides Are Organized

For each company, we cover up to four parts of the interview:

  • The interview process, round by round: every stage from recruiter screen to offer. It lists formats, timelines, and the rounds unique to that company.
  • Behavioral interview questions: what the company screens for culturally, the questions candidates report, and worked sample answers in that company's style.
  • The system design interview: the reported questions, what interviewers probe, and a walkthrough of one signature design problem.
  • How to answer "Why do you want to work here?": what interviewers listen for in the motivation question, with a full sample answer and the common mistakes.

Use the guides together. Read the process guide first to map your loop. Then prepare each round with its dedicated guide.

AI Labs and AI Infrastructure

The frontier AI companies run the most distinctive interviews in tech, from mission screening to work-sample projects. Their rules on using AI during interviews also differ widely. Learn your company's rules before the interview.

Anthropic

Anthropic pairs practical, implementation-heavy coding with an explicit values interview. That values interview rejects more strong engineers than any technical round. Its official AI policy is widely misreported: you may refine your application with Claude, but live interviews and most take-homes are AI-free.

OpenAI

OpenAI publishes its own grading standard: well-designed solutions, high-quality code, performance, and test coverage. It may run system design twice in one loop. Product-flavored design questions expect full-stack answers: wireframes, API contracts, and schemas, not only a backend diagram.

xAI

xAI moves from first call to offer in two to three weeks. It requires a "Statement of Exceptional Work" with the application. Many loops end with a presentation of a project you owned. There is no dedicated behavioral round; interviewers probe ownership and autonomy inside the technical conversations.

Google DeepMind

DeepMind really runs three different loops. Software engineers get Google-style rounds. Research engineers get ML-depth rounds with paper presentations. Scientists get research discussions. Interviews are strictly AI-tool-free, and the hiring committee alone can take three to four weeks.

Perplexity

Perplexity averages about 23 days from application to offer and ends with a founder interview. Every system design question relates to AI search: RAG (retrieval-augmented generation), retrieval, crawling freshness, and the tradeoff between cost, latency, and quality.

Scale AI

Scale's loop includes a signature debugging round: you fix problems in an unfamiliar multi-file codebase under a time limit. Its recruiters openly screen for comfort with a high-intensity culture. After the Meta deal, the "why Scale, why now" question is a genuine filter.

Cursor (Anysphere)

Cursor's decision round is unlike any other in tech. It is a paid project of about eight hours inside Cursor's actual codebase, with AI tools explicitly encouraged. A review follows, and you defend every line there. Candidates report that using AI badly is the fastest way to fail.

Databricks

Databricks runs one of the hardest engineering loops in the industry. The most feared stage is the concurrency round (live multi-threaded programming). That round is known for removing candidates who prepared only for FAANG-style interviews. Its behavioral round maps one to one onto six published values.

Mistral AI

Mistral, Europe's frontier lab, runs one of AI's fastest loops (about two weeks). It has two unusual rounds. One is a structured LLM quiz with expected answers on transformer internals and KV caching. The other is a review round where you correct a deliberately messy pull request. Some coding rounds ask you to implement multi-headed attention from scratch.

Cohere

Cohere, the enterprise-first lab, tests production ML code. You write tests and run your solutions, and recited LeetCode answers get flagged. Unusually among AI labs, it runs a genuine dedicated behavioral round. System design centers on multi-tenant model serving: cost per query, GPU scheduling, and tenant isolation.

Hugging Face

Hugging Face, the open-source ML company, hires like an open-source project. There is no LeetCode. Expect two to three conversations plus a take-home built on real problems the company is working on. You present and defend the take-home afterward. Your public GitHub and Hub activity work as a standing portfolio, and the cover letter genuinely matters.

ElevenLabs

ElevenLabs, the AI-audio company, wants "founders who happen to be looking for a job." Its behavioral round is a detailed review of projects you led or created. Its signature product decomposition round asks you to design the user experience and the system together for a voice-product use case.

Groq

Groq, the inference-chip company, runs a holistic loop. It includes an hour-long personality interview, sometimes with a VP. The company officially advises candidates to skip heavy LeetCode practice and show their GitHub and real work instead. Design conversations focus on serving open models fast on deterministic, compiler-scheduled chips.

Runway

Candidates report a fast loop of five to six conversations, about three weeks total. The onsite mixes coding, system design, a deep dive on past work, and a behavioral round.

Together AI

The loop usually finishes in two to four weeks. It pairs fast coding rounds with an applied machine learning systems interview and team conversations.

Cerebras

Cerebras runs coding rounds on HackerRank, a shared online editor, in 45 minute sessions. The full process takes three to six weeks, and loop size varies widely by team.

Glean

Candidates describe the difficulty as higher than most startups of similar size. The onsite adds a practical build exercise, and some candidates report a round on using AI tools.

Sierra

Sierra's loop includes a project where you build an AI agent. The company has also described an AI native format: you plan a project, then build it in about two hours with AI tools.

Harvey

Harvey runs a coding phone screen plus four onsite rounds, including a project deep dive. Candidates report practical interviews with freedom to use familiar tools.

Thinking Machines Lab

Thinking Machines Lab does not publish an interview process, and public reports are few. Expect the typical frontier lab loop: a recruiter call, a technical screen, and three to five final interviews.

Safe Superintelligence (SSI)

SSI hires quietly, often through direct outreach or a referral. The company says it spends hours judging a candidate's character before it weighs publication counts.

Mercor

Mercor's loop includes a short AI led interview and a five hour final round. Some candidates finish the whole process in about two weeks.

Cognition

Public reports describe a first call, a coding screen, and a final round of three to five sessions. Some roles add a take home exercise inside Devin, the company's AI software engineer.

Decagon

Candidates report five to six steps over three to four weeks. The loop includes 60 minute pair coding and a system design round about AI agent style systems.

Abridge

Candidates report four main steps over about a month. The hiring manager round includes a short design discussion, and the behavioral round sometimes includes an engineering executive.

Physical Intelligence

Physical Intelligence does not publish its loop, and candidate reports are rare. The company hires in San Francisco, and its own job listings are the best public signal of what interviews test.

Lovable

Lovable's signature stage is paid trial work, about two days with the team in Stockholm. No public account of the loop includes an algorithm puzzle round.

AI sector at a glance:

CompanyTypical timelineSignature roundScreens hardest for
Anthropic3-8 weeksValues/culture interviewMission alignment, honesty
OpenAI4-8 weeksDouble system designPractical code quality
xAI2-3 weeksExceptional-work presentationOwnership, autonomy
Google DeepMind6-10 weeksPaper presentation (research)Unaided depth, rigor
Perplexity~23 daysFounder interviewCuriosity, speed
Scale AI~3 weeksUnfamiliar-codebase debuggingIntensity, urgency
CursorFastPaid 8-hour codebase projectAI-assisted judgment
Databricks4-7 weeksConcurrency roundRaw technical bar
Mistral AI~2 weeksLLM quiz with expected answersAutonomy, precision
Cohere4-6 weeksDedicated behavioral roundProduction ML, collaboration
Hugging Face2-4 weeksReal-problem take-homeOpen-source citizenship
ElevenLabs3-5 weeksProduct decomposition roundFounder instincts
GroqA few weeksPersonality interviewBuilder evidence, curiosity

Big Tech

The established giants run the most structured loops. Each grades culture against a named rubric (a written scoring guide). Microsoft scores growth mindset. Netflix applies the keeper test. Nvidia screens for calm responses to blunt criticism.

Apple

Apple's process is decentralized: each team designs its own loop. Behavioral evaluation happens in every round instead of one dedicated round. The consistent standard: craft, low ego, comfort with secrecy, and a real opinion about an Apple product.

Microsoft

Microsoft interviewers are trained to score behavioral answers against growth mindset and named competencies. Inclusion is an explicit scoring dimension. Use STAR (Situation, Task, Action, Result), then add what you learned: the rubric rewards the learning step specifically.

Netflix

Netflix is the one company where the culture interview can override strong technical performance. Roughly half the evaluation is alignment with the published Culture Memo. The keeper test (managers ask whether they would work hard to keep each person) shapes every round. Study the memo like a syllabus, because it works like one.

Nvidia

Nvidia hires by team, and interviews come almost entirely from that team's actual work. Candidates commonly report waits of five weeks or more after the onsite. The behavioral screen reflects a famously blunt culture. The central probe is how you receive hard, public criticism.

Tesla

Tesla schedules the hiring manager conversation before any technical screen. Interviewers test fundamentals from first principles. Finalists are increasingly asked for an "Evidence of Excellence" write-up of their best work. Expect a standard comparable to Google at a much faster pace.

Adobe

Adobe's assessment mixes coding with multiple-choice questions on CS fundamentals, where unprepared candidates lose many points. Its design rounds cover three levels: product architecture, object-oriented design, and database judgment. Behavioral evaluation uses two themes: own the outcome, and create the future.

LinkedIn

LinkedIn grades communication and tradeoff explanation as explicitly as code. Its design questions are product-centric graph problems: feed, notifications, and People You May Know. The members-first value produces its most distinctive behavioral probe: user trust versus growth metrics.

Oracle

Oracle is several companies in one (OCI, database, applications), and loops differ across them. Timelines run four to eight weeks. The distinctive Bartender round brings in an interviewer from outside the team to check the hiring standard, like Amazon's Bar Raiser.

IBM

IBM includes a system design round in most mid-level and senior loops. The round lasts 45 to 60 minutes and grades scalability, reliability, and maintainability.

Intel

Each Intel business group hires separately, so the four to six stages vary. Embedded and platform teams ask lower level design questions than cloud teams do.

Cisco

Candidates report that behavioral evaluation takes about half of Cisco's interview time. The design round rewards candidates who understand protocols, packets, and hardware limits.

Qualcomm

Qualcomm asks behavioral questions inside technical rounds, with no separate values interview. The design round is usually low-level design: schedulers, memory allocators, and drivers, not web-scale systems.

AMD

The AMD onsite loop includes a debugging session and a computer architecture round. Design interviews happen at the hardware-software boundary and expect real C or C++.

SAP

SAP's technical rounds are often elimination rounds, so one weak round ends the process. A dedicated managerial round tests the "How We Run" culture framework.

Big tech at a glance:

CompanyTypical timelineSignature elementScreens hardest for
AppleVaries by teamBehavioral woven through all roundsCraft, low ego
Microsoft3-6 weeksGrowth-mindset scoringLearning from failure
Netflix3-5 weeksCulture deep-dive (can veto)Candor, judgment
Nvidia4-8 weeks + slow tailTeam-specific domain deep-diveCriticism resilience
Tesla~1 monthEvidence of Excellence write-upFirst-principles thinking
Adobe3-6 weeksFundamentals MCQs + 3-altitude designOwnership with numbers
LinkedIn~3-4 weeksCommunication-graded roundsMembers-first judgment
Oracle4-8 weeksBartender calibration roundDependability

Consumer, Marketplace, and Commerce

Consumer companies interview through their product realities: marketplace tradeoffs at Uber and DoorDash, values interviews with veto power at Airbnb, and a biography instead of a behavioral round at Shopify.

Uber

Uber runs a dedicated bar-raiser-style behavioral round scored against its published values. Its most distinctive question shape is the marketplace tradeoff: two groups with opposite interests, and your reasoning between them.

Airbnb

Airbnb's core values interviews are run by trained interviewers from outside your team. They can decide the outcome regardless of technical performance. Personal-life examples are explicitly welcome. Prepare these interviews as seriously as any coding round.

DoorDash

DoorDash's loop features the practical CodeCraft round: build a working piece of logistics software, like a Dasher-pay calculator. Its culture makes the operator mindset a formal practice: every employee, engineers included, does deliveries a few times a year.

Spotify

Spotify runs a case-study round most candidates never practice: handle a realistic production incident live, from metrics to stakeholder communication. Its values interview kept real decision weight through the company's restructuring years.

Shopify

Shopify's signature is the Life Story interview: a 60-minute chronological walk through your life. It is designed to defeat rehearsed answers and to measure how fast you grow. Pair programming often welcomes your own IDE and AI tools, if you can defend every line.

TikTok and ByteDance

ByteDance's loops are algorithm-heavy. Its behavioral rounds are scored against the six ByteStyle values, and stories about failing while moving fast are the natural material. For TikTok specifically, the motivation question rewards real engagement with the recommendation engine. It also rewards an honest view of the work pace, plus one calm sentence about the geopolitics.

Reddit

Reddit's motivation question has a built-in authenticity check: "which communities are you active in?" Candidates with a genuine history on the platform have an advantage nothing else replaces. Moderators have the strongest advantage.

Duolingo

Duolingo puts two engineers in every technical round: one interviews, one shadows. It values real engineering sense and product thinking over hard LeetCode. The onsite includes pair programming, code review, and a coffee chat that is also evaluated. Python is the standard house language. Genuine product usage (a real streak) helps in every round.

Roblox

Roblox's online assessment is the most unusual in big tech. It runs about two hours and combines coding, proprietary game-based challenges, and a built-in 25-minute behavioral section. A Bar Raiser round is the final step. Everything is scored against a precisely stated value order: community before company, company before team, team before individual.

Discord

Discord's signature round asks you to build a working service from scratch. The most-reported question is concrete: a telnet-compatible TCP chat server that handles concurrent clients. The full-day panel includes named Values and Attitude sessions. Product sense for gamers and communities is explicitly noticed.

Walmart Global Tech

Walmart, the world's largest company, runs a structured loop. It starts with a HackerRank assessment mixing Python and SQL. Technical rounds split between low-level and high-level design. A conversational hiring-manager round ends the process, and STAR-format answers are expected there. Design rounds use retail's signature problems: one accurate view of omnichannel inventory, and Black Friday traffic spikes.

Pinterest

Pinterest runs three stages that end in four to six onsite interviews. Its behavioral questions center on the value put Pinners first.

Snap

Snap's system design round is shaped by disappearing messages. Its behavioral questions follow the values kind, smart, and creative.

Instacart

Instacart asks narrow, product-shaped design questions about inventory, dispatch, and fulfillment. Its behavioral round follows its five published values.

Lyft

Lyft's onsite adds a laptop programming exercise to the usual rounds. Its design questions map to the rideshare product.

Booking.com

Booking.com starts with an unusual assessment: build a small working feature, not a puzzle. Mid-level and senior candidates also get a system design round.

Expedia

Expedia adds a strengths assessment, an automated test of behavior and judgment. The test is unusual among tech companies, so prepare for it.

eBay

Candidates report that coding matters most in the eBay loop. The design round includes a walkthrough of an auction system.

Twitch

Amazon owns Twitch, and its hiring follows Amazon's framework closely. Leadership Principle questions appear in every round, not just one.

Epic Games

Many Epic Games roles include a take-home coding task. Interviewers also test how much you care about games.

Unity

Unity runs three to five rounds, and all happen over video. Questions stay close to real engine and tooling work.

Consumer and marketplace at a glance:

CompanySignature elementScreens hardest for
UberBar-raiser behavioral roundMarketplace tradeoff reasoning
AirbnbCore values interview (can veto)Mission and hosting behavior
DoorDashCodeCraft round, WeDash cultureOwnership, operator mindset
SpotifyProduction-incident case studyAutonomy with alignment
ShopifyLife Story interviewAgency, trajectory slope
TikTok/ByteDanceByteStyle-scored behavioralPace, candor
RedditCommunity authenticity checkGenuine product connection
DuolingoTwo engineers in every roundLearners-first product sense
RobloxGame-based OA + Bar RaiserCommunity-first values
DiscordBuild-a-service round (TCP chat server)Ownership, product sense
Walmart Global TechSplit LLD/HLD + STAR disciplineScale delivery, customer service

Fintech and Quantitative Finance

Interviews at financial companies have extra requirements. Idempotency (an operation that is safe to repeat), reconciliation, and incident ownership are assumed vocabulary. The elite quant firms also differ sharply from one another.

Stripe

Stripe's loop simulates real work. It includes an integration round with a real repo, API docs, and full internet access. It also has a debugging round in unfamiliar code and a rare dedicated API design round. Behavioral interviewers are trained to filter out polished but vague answers fast.

PayPal

PayPal's assessment includes Java and OOP fundamentals that algorithms-only candidates miss. Its loop values communication and reasoning over LeetCode difficulty. Fintech-grade correctness themes appear throughout.

Robinhood

Robinhood runs a proctored assessment and finance-flavored coding (order books, ledgers). Its design rounds apply a Safety First standard, which reflects a company rebuilt around reliability. Its favorite behavioral question: describe a time you disagreed with leadership, professionally.

Ramp

Ramp hides a small CTF (capture-the-flag) puzzle in the job application. It runs a four-level progressive coding assessment, and your early architecture decides whether the later levels are possible. The average time to offer is eleven days. It hires "tiny CEOs" and asks for your controversial opinions, plural.

Citadel

Citadel's HackerRank assessment uses hidden tests that fail solutions that are correct but not optimal. Its onsite pushes from correct to optimal to the constant factors. Its design rounds work in microsecond budgets: order books, feed handlers, and code written with hardware behavior in mind.

Jane Street

Jane Street's onsite is three to four paired rounds of 70 minutes, and they extend one evolving problem. Two common beliefs about the firm are wrong: SWE candidates need neither OCaml nor probability drills. Honesty is built into the process: they ask you to disclose if you have seen a problem before.

Two Sigma

Two Sigma, the scientist's quant fund, runs a hard assessment where all hidden tests must pass. Phone screens include rapid-fire CS fundamentals. Its signature round combines design and implementation: you architect a small system, then build it as working code within the session. Precise, calibrated communication is graded throughout.

Bloomberg

Bloomberg's loop is famous for two things. First, its tagged practice-question pool genuinely reflects its interviews. Second, candidates who solve everything perfectly still get rejected on weak "why Bloomberg" answers: genuine interest decides offers. The system design round (real-time market data, conflation, entitlements) is consistently reported as the hardest.

Capital One

Capital One's Power Day includes a round no other major tech employer gives software engineers: a case interview. You reason aloud through a business scenario, like a credit card's breakeven math, and end with a recommendation. Behavioral answers use STAR format against defined competencies, ideally with results converted into business units.

Intuit

Intuit's loop is anchored by the Craft Demonstration. You receive a GitHub repository 24 to 48 hours in advance, then implement user stories live before a panel. Clean code and unit testing are explicitly graded. Interviews now also probe how you use AI responsibly when models handle customers' money.

Block (Square)

Block runs a practical loop: pair programming and realistic problems, not puzzles. Design questions come from Square, Cash App, and Afterpay products.

Chime

Chime runs four stages, ending in a virtual onsite of four to five hours. Reliability themes appear even in the coding rounds.

Plaid

Plaid often finishes in about three weeks, faster than most companies its size. Interviewers add requirements as you work, and design questions probe failure handling.

Brex

Brex interviews in four to five rounds over about three weeks. The values interview counts as much as the technical rounds.

Affirm

Affirm favors practical tasks over puzzle style algorithm questions. For senior roles, candidates report the design round matters most in the loop.

Klarna

Klarna runs five to seven rounds, including a craft deep dive and a leadership principles interview. Some candidates also report a logic test and questions about AI tools.

Revolut

Revolut adds a take-home project of about four to eight hours. Most candidates then present it in an architecture review.

Nubank

Nubank rewards a functional programming mindset across five to six stages, including pair programming. Design rounds assume event-driven systems, often with Kafka.

Wise

Wise closes its loop with a values conversation. Its design interviews use business cases, mostly for senior roles, and value correctness above raw scale.

Toast

Toast asks restaurant questions: offline point of sale systems and payments on bad networks. A reported follow up asks what happens when two terminals edit the same check.

Hudson River Trading

Hudson River Trading runs five stages over one to two months. Its design questions are low level: operating systems, networking, lock-free structures, and latency.

Jump Trading

Jump Trading spreads systems questions across the loop instead of one classic design round. Candidates compare the coding difficulty to the hardest big tech rounds.

D. E. Shaw

D. E. Shaw tests careful reasoning as much as raw coding speed. Design interviewers want stated assumptions, real numbers, and honest tradeoffs.

JPMorgan Chase

JPMorgan Chase ends with a superday, a single day of three to four interviews. Coding difficulty is moderate, with more attention on fundamentals and behavior.

Goldman Sachs

Goldman Sachs runs four main stages ending in a Superday of three to five interviews. A strong design round often sets the level of the offer.

Fintech and quant at a glance:

CompanyTypical timelineSignature roundScreens hardest for
Stripe4-8 weeksIntegration round (real repo + docs)Evidence-dense honesty
PayPalA few weeksPair programming + project deep diveAccountability
Robinhood4-6 weeksDomain LLD (order book, ledger)Safety-first judgment
Ramp~11 days4-level progressive assessmentUnprompted ownership
Citadel4-8 weeksOptimal-or-fail assessmentAlgorithmic ceiling
Jane StreetA few weeks70-minute paired evolving problemCollaboration, honesty
Two Sigma4-6 weeksDesign-and-implementation roundRigor, precise communication
Bloomberg3-7 weeksReal-time financial system designGenuine interest (offer-deciding)
Capital OneA few weeksCase interview on Power DayBusiness-fluent engineering
Intuit4-6 weeksCraft DemonstrationCustomer obsession, craft

Developer Tools and Enterprise Software

The companies that build for developers and enterprises rely on work samples more than whiteboards. Expect take-homes, pairing, code review, and multi-day craft challenges.

GitHub

GitHub's loop is built from realistic work. It includes a take-home graded on tests, docs, and commit hygiene, plus a pairing exercise and a code review round. Recruiters read your public GitHub profile before you say a word.

Atlassian

Atlassian publishes official guides for every craft round. It also runs one of tech's most decisive values interviews, mapped to five named values. Candidates regularly pass every technical round and still fail there.

ServiceNow

ServiceNow's assessment mixes coding with multiple-choice questions on CS fundamentals. Its design round tests topics almost nobody practices: multi-tenant enterprise platforms, workflow engines, and upgrade safety.

Salesforce

Salesforce spreads behavioral evaluation across every final-round interview instead of one culture round. Answers are scored against its values, with Trust explicitly first. Prepare a set of stories, not a single performance.

Snowflake

Snowflake's coding problems hide data-systems twists: inputs that exceed memory, and streams with duplicates. Its behavioral questions turn technical in the middle of your answer. Every ownership story needs its central tradeoff prepared at whiteboard depth.

Cloudflare

Cloudflare's culture round has a name (the Orange Cloud round) and a strict 30 minutes. Its values include "No Bullshit". Interviewers explicitly flag rehearsed answers, so short, honest, specific answers win.

Figma

Figma expects real product usage, and thin usage hurts across the loop. It runs a project deep dive where numbers are expected. System design focuses on real-time multiplayer infrastructure: WebSockets, presence, and state recovery.

Notion

Notion's coding rounds feature live debugging and optimization that you explain aloud. Its design rounds genuinely cover CRDTs (conflict-free replicated data types) and flexible data models. The loop ends with a leadership conversation on values and long-term vision.

Canva

Canva's centerpiece is the Craft Challenge: a multi-day take-home project with a defense review, treated as the main evaluation. Its values round scores against five named values. Make Complex Things Simple is the most probed.

Vercel

Vercel designs its interviews to feel like real work: shared editors instead of whiteboards, with Google explicitly encouraged. There is a proctored 90-minute assessment. Rounds come from a practical menu that includes app building, code review, and architecture review. A strong public GitHub can get the async assessment waived entirely.

Wiz

Wiz is now part of Google Cloud after the largest cybersecurity acquisition ever. It keeps its startup pace: a loop that follows a set playbook, with an intense final panel. Hiring managers actively coach candidates between rounds; take that coaching literally. Design rounds cover its distinctive domain: agentless cloud scanning and the Security Graph.

Workday

Workday's interviewers score behavioral answers against six published values on literal scorecards, with Employees first in stated order. Candidates who treat the "Fun" value as unimportant reportedly fail regardless of technical performance. The loop adds a dedicated VIBE inclusion interview, an emphasis on object-oriented design, and a final executive conversation.

Rippling

Rippling's signature is a 90-minute round in two parts: build something, then critique what you built. Honest self-assessment is graded as a real skill. Its AI policy is the industry's most unusual: tools are optional and open, but the grading rubric changes with your choice. The culture is openly intense, and recruiters confirm from the first call that you accept that.

MongoDB

The loop runs from recruiter screen to a multi-round onsite across three to five weeks. Behavioral questions map to MongoDB's six core values.

Redis

Most candidates already use the Redis database, so interviewers expect a specific personal story. Design questions connect directly to the Redis product line.

GitLab

GitLab builds its technical interview around a merge request. Behavioral rounds test the CREDIT values, and the full process commonly takes about a month.

Confluent

Confluent sees itself as the home of Kafka, and its loop includes an engineering values round. Expect distributed systems questions such as design a message queue.

HashiCorp

The HashiCorp loop adds a PR review round to practical coding, system design, and behavioral interviews. Interviewers also test fit with its remote culture.

Docker

Docker interviewers expect you to speak as a user of the product. The loop ends with a culture interview, and design questions connect to Docker Hub.

Elastic

Elastic runs a dedicated values round based on its Source Code. Design questions connect to its search and observability products.

Grafana Labs

Grafana Labs runs practical coding and a concrete system design round. Its design questions are observability flavored and use real numbers.

Temporal

Temporal builds a platform for durable execution, and its design questions match that: schedulers, task queues, and state that survives crashes.

Supabase

Supabase hires for low ego and intrinsic motivation, and its loop includes a practical take home. Design questions build on Postgres: multi tenancy, realtime updates, and pooling.

Linear

Linear ends its process with a paid work trial. Its architecture round favors real-time sync and offline-first clients.

Airtable

Airtable runs an onsite of four to six interviews. Design rounds favor collaborative editing and large table performance.

Miro

Miro runs its system design round on a Miro board. A dedicated Behaviors round tests teamwork, empathy, impact, and growth.

Slack

Slack pairs its technical loop with a values interview built on six company values. The final loop runs four to five interviews over three to five weeks.

Twilio

Twilio starts with an online coding test and ends with a loop of four to six interviews. Behavioral questions follow its Twilio Magic values.

Okta

Okta sells identity and access management software, so its technical rounds include security questions. The process usually takes three to six weeks.

Zoom

Zoom's stated core value is care, so interviewers listen for customer focus and humility. The design round uses both high-level and low-level formats.

Dropbox

Dropbox screens with a CodeSignal assessment before its live rounds. Behavioral questions map to its four published values, and design questions center on file sync.

Zscaler

Most of the Zscaler behavioral evaluation happens in the hiring manager round. Interviewers there expect numbers in your answers, not general claims.

Palo Alto Networks

Palo Alto Networks runs a values interview alongside its technical rounds, over about five to six weeks. Design questions favor security data pipelines and log alerting.

SentinelOne

SentinelOne screens for trust, accountability, and ingenuity across its rounds. Design questions map to its endpoint security products.

Snyk

The Snyk loop includes a take-home review and a pair programming round. Behavioral questions are organized by its four company values.

Deel

Deel is fully remote and screens for speed and ownership. System design appears as a discussion inside the technical interview, not a separate round.

Gusto

Gusto runs an online assessment and technical screen before its virtual onsite. Design questions mirror its payroll product, such as direct deposit payouts.

Samsara

Samsara builds software for physical operations, and its design questions match: fleet tracking and sensor data ingestion. The culture rewards ownership and early responsibility.

Dev tools and enterprise at a glance:

CompanySignature roundScreens hardest for
GitHubTake-home + pairing + code reviewAsync collaboration
AtlassianValues interview (five named values)Values alignment
ServiceNowMulti-tenant platform designEnterprise thinking
SalesforceBehavioral sampling in every roundTrust
SnowflakeData-twist codingTechnical depth, ownership
CloudflareOrange Cloud culture roundCuriosity, candor
FigmaProject deep dive with numbersDesign-engineering collaboration
NotionCRDT-aware design roundCraft, product fluency
CanvaMulti-day Craft ChallengeSimplicity as a skill
VercelReal-work rounds, Google allowedCraft, DX conviction
WizIntense panel, HM coachingPace, customer obsession
WorkdayValues scorecards + VIBE roundValues fit, warmth
RipplingBuild-then-retrospect roundOwnership, self-assessment

Defense and Frontier Tech

The defense and hard-tech companies add checks that nothing else has. At Anduril and SpaceX, mission conviction is screened in every round, and mixed feelings are a detectable, disqualifying trait. At Waymo, the same seriousness applies to safety mindset and self-awareness.

Anduril

Anduril screens for genuine motivation to build defense technology from the first recruiter call. It asks pointed product questions, like "what is your least favorite Anduril product?" Technical questions are deliberately ambiguous, and how you extract clear requirements is graded. Most roles require US person status.

Palantir

Palantir's onsite is assembled from a distinctive menu of rounds. Decomposition turns a vague real-world problem into buildable structure. Learning asks you to apply an unfamiliar tool immediately. Re-engineering has you work with existing code. Culture is filtered aggressively from the first call.

SpaceX

SpaceX runs one of the industry's most demanding loops, with five to eight rounds. The anchor is a panel presentation. You get one to two weeks to prepare a talk on your most significant work. You deliver it to five to ten engineers, and hostile questioning follows. Most roles require US citizenship or permanent residency under ITAR (a US export-control law).

Waymo

Waymo's behavioral round has the most distinctive centerpiece in tech. You present a complex past project, and you are expected to critique your own architectural decisions without being asked. Self-awareness is the graded trait. Coding questions are framed in autonomous-vehicle contexts. Design rounds cover on-vehicle systems and the simulation platform behind billions of tested miles.

Zoox

Zoox builds robotaxis, and its loop tests more C++, debugging, and math than a typical web company. Candidates report a five to six round onsite and three to five weeks from first contact to offer.

Neuralink does not publish a fixed process, and public candidate reports are scarce. Rounds follow the team, so a firmware loop and a software platform loop test different things.

Rivian

Candidates report an organized process that often finishes within one to two weeks. The technical bar is practical rather than puzzle-heavy, while the behavioral evaluation is strict.

Boston Dynamics

The loop mixes standard software questions with robotics content: perception, planning, controls, and deployment constraints. The recruiter asks about hands-on robotics experience in the very first call.

Defense and frontier tech at a glance:

CompanySignature elementScreens hardest for
AndurilMission screening in every roundDefense conviction
PalantirDecomposition roundStructure from ambiguity
SpaceXPanel presentation with adversarial Q&AExtreme ownership
WaymoUnprompted self-critique of your own workSafety mindset, self-awareness

What These Loops Have in Common (and Where They Diverge)

Researching these companies side by side reveals patterns worth knowing before you prepare for any of them:

  1. Practical coding is replacing puzzle coding. Many companies now evaluate through realistic work: take-homes, pairing, debugging, code review, and build-a-feature rounds. Examples include Stripe, GitHub, Canva, Shopify, Ramp, Jane Street, xAI, DoorDash, Vercel, Discord, Intuit, ElevenLabs, and Hugging Face. Pure LeetCode preparation now covers a shrinking share of the market. Pattern fluency still matters everywhere, but shipping clean, tested code while explaining your steps matters more. Grokking the Coding Interview builds the pattern base that transfers across all of these formats.
  2. Behavioral rubrics are increasingly published. More companies than ever tell you exactly what they score. Examples: Netflix's memo, the named values at Atlassian and Canva, ByteDance's ByteStyle, Databricks' principles, and Amazon-style calibration rounds at Oracle and Uber. Once you know that, the preparation is mechanical: map stories full of evidence to the named values. Grokking Modern Behavioral Interview covers the method.
  3. System design is splitting by domain. Fintech rounds assume idempotency and reconciliation. Consumer rounds assume feed fan-out and caching. AI companies assume RAG and GPU economics. Enterprise companies assume multi-tenancy and upgrade safety. The core method transfers: start with Grokking the System Design Interview, use Grokking System Design Fundamentals for the building blocks, and use Advanced System Design Interview, Volume II for depth. The final layer is company-specific, and that layer is what the guides above are for.
  4. AI-use policies now define interviews. The range is wide. DeepMind and Anthropic run AI-free rounds. Shopify and DoorDash allow tools with verification. Cursor requires skilled AI use and fails candidates who paste without judgment. Rippling makes tools optional but grades you against a different rubric depending on your choice. Always confirm your company's policy. If AI is allowed, practice a verify-everything workflow beforehand. For AI fluency itself, Grokking Modern AI Fundamentals covers the vocabulary that now appears in interviews everywhere.
  5. Timelines range from 11 days to 10 weeks. Ramp, xAI, Mistral, and Perplexity move in days to weeks. DeepMind, Oracle, Roblox, and Nvidia stretch toward two months or beyond. Plan your pipeline deliberately: start the slow processes first, and expect the fast companies to demand decisions early.

FAQ

How long does a tech company interview process take? Anywhere from 11 days (Ramp) to 10 weeks (Google DeepMind). The industry median is 3 to 6 weeks. Committee-based companies (Google, DeepMind, Oracle) and team-matching-heavy ones (Nvidia) run longest. Founder-led startups (Perplexity, xAI, Cursor) run fastest.

Do all companies ask system design questions? Almost all do for mid-level and senior roles, but the format varies. Most big tech runs classic architecture rounds. Some run domain-specific design (Citadel's order books, Perplexity's RAG pipelines). Palantir asks you to break down vague problems. Jane Street and Ramp place design questions inside coding rounds.

How different are behavioral interviews really? Very different. Netflix's culture round can veto a technically perfect performance. Airbnb's values interviews are run by trained outside interviewers. xAI has no behavioral round at all. Shopify replaces the whole category with a life-story conversation. Read the company-specific guide before reusing your standard stories.

Should I use AI tools during interviews? Only where explicitly permitted, and skillfully where required. Policies range from strict bans (DeepMind, Anthropic's live rounds) to active encouragement with accountability (Cursor, Shopify). Using AI where it is banned ends candidacies. Using it badly where it is encouraged does too.

We update this guide as we publish new company guides. To build the fundamentals that transfer across every loop, explore our courses, starting with Grokking the Coding Interview and Grokking the System Design Interview.

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