Google Interview Questions

Google Interview Questions

Google's loop, as candidates report it, is front-loaded with coding. Of the 582 questions collected here, 306 come from technical screens and 203 from onsite rounds, with smaller online assessment and recruiter screen sets. Software Engineer is the dominant track at 322 questions, then Data Scientist at 145, Machine Learning Engineer at 37 and Product Manager at 30. Coding & Algorithms alone accounts for 233; Behavioral & Leadership adds 84, System Design 43, and Machine Learning, Analytics & Experimentation and Statistics & Math cover most of what remains. Difficulty splits 368 medium, 129 hard and 41 easy. Behavioral rounds are assessed on Googleyness. Coding prompts lean on interval reasoning: checking a new interval against existing ones for conflicts, computing the union of two sorted interval lists, assigning the minimum fleet to rental reservations. Recursion and parsing show up as depth-weighted sums over nested lists, and search-on-the-answer appears as maximising an equal wood segment length. System design runs to infrastructure, such as a large-scale polite web crawler. The behavioral set is narrative: working with a difficult colleague, describing a failure and what it changed, responding to hard feedback. 63 questions were added in the last 90 days, three are tagged as AI-assisted rounds, and 99 first-hand interview experiences are on the site.

582 Questions 1 Company09.18.2026

Frequently Asked Questions

Which rounds do these Google interview questions come from?
They map to the two stages candidates report as the core of the loop: 306 questions are tagged Technical Screen and 203 Onsite. A smaller set comes from Online Assessments, and 10 from recruiter or HR screens. Coding shows up in both technical stages, while system design and the behavioral round assessed on Googleyness sit mostly in the onsite block.
How hard are Google interview questions?
The mix skews medium. 368 questions are rated medium, 129 hard and only 41 easy, so most sit at the level where reaching an optimal approach and handling edge cases cleanly matters more than spotting a trick. The hard tier is the second-largest slice, so timed practice at the medium tier with hard problems mixed in covers most of what the page contains.
Which roles and topics are most represented?
Software Engineer leads with 322 questions, followed by Data Scientist at 145, Machine Learning Engineer at 37, Product Manager at 30 and a handful of Data Engineer entries. By topic, Coding & Algorithms is the largest bucket at 233, then Behavioral & Leadership at 84, System Design at 43, Machine Learning at 38, Analytics & Experimentation at 37 and Statistics & Math at 33.
What else is on this page besides the questions?
Four role-specific Google interview guides cover Software Engineer, Data Scientist, Machine Learning Engineer and Product Manager. Alongside them sit 99 first-hand interview experiences written by candidates, including an SWE III onsite with a team-matching timeline, a PhD intern screen with two back-to-back original coding rounds, and a new-grad technical screen whose second question was verbal only.

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