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THE VIDEO SHELF · coding interviews

How to: Work at Google — Example Coding/Engineering Interview

Two Google engineers perform a mock coding interview and then discuss best practices for candidates, including asking clarifying questions and communicating while solving.

Why HN readers recommended it

Cited as a realistic, well-run example of a technical interview, both for candidates preparing and interviewers calibrating.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Life at Google
Topic
coding interviews
Format
demo
Level
general
HN recommenders in dataset
2
HN mentions in dataset
5
Recommendation years in dataset
2017–2020

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Whether or not 'everyone' wants to work there is not hugely material. They, and others that do the white-boarding, are 'the best'. They have loads of talent, operational efficiency, ship tons of great products with great innovations. White-boarding done appropriately is an excellent means to …

    sonnyblarney on Hacker News · 2019-05
    In I turned my interview task for Google into a startup
  • 'Ask clarifying questions' and 'think out loud' are also two of the suggestions in this excellent video from Google showing an example of a great technical interview: [VIDEO]

    MarkMc on Hacker News · 2020-08
    In Most common mistakes during interviews
  • Very good points, agree with it. However - I don't think this is about 'ego' or even 'humility' - I think those are not the right words. It's a lack of contextual understanding both in 'self awareness' and also the interviewers plight. I think the …

    sonnyblarney on Hacker News · 2019-02
    In A Humility Training Exercise for Technical Interviewers

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.