What to Expect in Google’s Engineering Interview: A Step‑by‑Step Guide

Personal Background

I hold a 985 undergraduate degree and a top‑2 master’s degree, with over four years of experience as a backend development team lead at DJI.

Interview Process

Google’s interview pipeline typically follows these stages:

Recruiter Prescreen

Phone Interview (1–2 rounds)

Onsite Interview (4–5 rounds, feedback within a week)

Hiring Committee Review

Offer Review

Offer Delivery

In my case I completed one phone round and five onsite rounds, totaling seven rounds including the HR prescreen.

HR Interview

The first round is a recruiter prescreen consisting of basic computer‑science fill‑in‑the‑blank and multiple‑choice questions (e.g., quicksort time complexity, stability of selection sort). It quickly filters out unsuitable candidates.

Phone Interview

Phone interviews are conducted via a shared Google Doc for live coding. I faced a binary‑tree traversal problem framed within a business scenario, which I solved and then discussed edge cases and optimizations with the interviewer.

Onsite Interview

After passing the phone stage, the onsite interview is scheduled for a full day (or two half‑days). It includes 4–5 one‑hour coding sessions covering:

Coding: implement solutions in any language, focusing on problem‑solving communication.

Algorithms: sorting, searching, divide‑and‑conquer, dynamic programming, greedy, recursion, plus graph algorithms such as

Dijkstra

and

A*

.

Sorting: quicksort, merge sort, heap sort, insertion sort, radix sort, etc.

Data Structures: arrays, linked lists, heaps, stacks, hash tables, trees.

Mathematics: discrete and combinatorial concepts.

Graphs: representations, BFS/DFS.

Recursion vs. iteration.

Other topics: system design and operating‑system concepts.

One problem resembled a LeetCode two‑dimensional matrix shortest‑path task solvable with dynamic programming. Another focused on binary‑tree traversal without requiring explicit recursion code. A system‑design question asked me to design a knowledge‑graph solution, prompting iterative improvements.

Lunch

During the day, a Google engineer joins for lunch, providing an informal chance to ask questions about the company culture.

English Interview

Two of the onsite rounds were conducted in English. Preparing basic technical vocabulary and rehearsing self‑introduction helps reduce anxiety.

Outcome

Despite thorough preparation, I did not receive an offer. Google’s feedback was prompt, highlighting areas for improvement and encouraging continued practice for future attempts.