There was good and exciting work, great engineers to learn from, and an overall great environment, besides all the other usual perks that Google offers. There were also good team leads and managers.
Sometimes work-life balance can be hard. There are constant changes and pivoting due to AI, since management seems to suffer a bit from AI derangement syndrome.
I applied through their careers page and submitted my resume. Google engineers also came to speak at my school. They called about two weeks after the tech talk at my school and told me they wanted me to interview on-site. Three weeks later, I was int
I applied online. The process took 2 months. 5-6 interviews on the same day. 4 of them are technical, coding interviews, and one of them assesses if you'll be easy to work with and know how to think through problems and design.
Telephone round followed by an onsite interview. Initially approached the problem of finding the top k elements using a heap. However, the interviewer was looking for a more efficient solution and suggested the Quickselect algorithm. The interviewe
I applied through their careers page and submitted my resume. Google engineers also came to speak at my school. They called about two weeks after the tech talk at my school and told me they wanted me to interview on-site. Three weeks later, I was int
I applied online. The process took 2 months. 5-6 interviews on the same day. 4 of them are technical, coding interviews, and one of them assesses if you'll be easy to work with and know how to think through problems and design.
Telephone round followed by an onsite interview. Initially approached the problem of finding the top k elements using a heap. However, the interviewer was looking for a more efficient solution and suggested the Quickselect algorithm. The interviewe