Landing a software engineering job at Google is a major career goal for many eingineers. Being the cooler brother within FAANG, Google has a centralized interview process that’s known for being difficult. You can’t interview with multiple teams at the same time, and there’s a limited amount of chances before you’re blocked from interviewing there again. In this article, we’ll show you the ins and outs of the software engineer interview at Google and what you should do to prepare.

Google is very process-oriented, caring more about how you do something rather than what you do. But competition is fierce, and only the best-prepared candidates make it through. If you do make it through the onsite, your passing the onsite is good for around a year. So if you decline the offer and decide to apply to Google within the year, there are steps within the interview process you can skip.
Google's interview process consists of four steps: the recruiter call, the technical phone screen, the onsite, and the team matching. The recruiter call will last about 30 minutes, the technical phone screen 45 to 60 minutes, and the onsite will last at least 4 hours, and within those 4 hours, you'll have at least 2 coding interviews, at least 1 system design interview, and 1 behavioral interview. The team matching happens afterwards.
The recruiter call is the first step in your Google interview process, but it's not much different from any other recruiter call. The recruiter will ask you questions like why you want to work at Google, what your previous experience is, and what your salary expectations are. It’s important to not mention too much about your salary expectations and your history because of negotiations further down the line.
The technical phone screen is a coding interview focusing on algorithms and data structures. You'll have to write code to solve a specific problem. One thing about Google (and depending on where you live): they will insist on using Google Docs for writing your code, while companies like Meta are more likely to use tools like CoderPad. Make sure to familiarize yourself with this, because Google Docs doesn't have functions like auto-indentation, auto-complete, adding missing brackets, and syntax highlighting.
Coding this way is difficult, and you're expected to write correct code, so keep that in mind. Make sure to communicate your thought process well and write good code. If you fail to do one of these, you might be invited for a second phone screen. This phone screen will not differ much from the first when it comes to content and structure. If you do get scheduled for a second phone screen, ask your recruiter for feedback surrounding your first round. This way, you'll know exactly where to improve.
We recommend practicing Leetcode daily and trying out different types of problems leading up to your Google interview.
If you pass your technical phone screen, you'll be invited to the Google onsite or in-person interview. This includes multiple, about four to six, coding rounds and will generally last about 4 hours. It includes:
Some candidates get to skip the behavioral round, and depending on your level of experience, you'll get increasingly more difficult and specific or time-consuming system design questions.
Google's interview process takes about one to two months total.
With Google being the only FAANG company valuing coding over system design, the coding rounds are by far the most important round in the interview process. They're all about complexity and not so much about speed. So expect questions you've never practiced before—unless you've practiced a lot.
They'll ask trick questions, disguising a question to look like something it's not. The interviewers at Google are very curious about your thought process: when you arrive at the solution to the question you've gotten, they'll ask more in-depth questions about your approach and how you'd adjust that approach if the question were to be a bit different.
Google always asks theoretical problems, never practical problems. Keep this in mind during your prep. There's a Google question bank where interviewers get their questions from, but Google interviewers are allowed to ask whatever they want. Some interviewers use the bank; others don't.
For the best preparation, do the following leading up to your interview:
Practice in teams and ask other people to make up questions.
Practice with someone who can change the main question and ask follow-up.
Look for questions online that have been asked in Google interviews: these will not be asked during your interview.
Practice coding using Google Docs. For Leetcode practice, focus on algorithms and data structures. Candidates should expect questions on the following:
Sorting & Searching Algorithms: QuickSort, MergeSort, Binary Search.
Graph Algorithms: BFS, DFS, Dijkstra’s Algorithm.
Dynamic Programming: Memoization, Tabulation techniques.
Data Structures: Arrays, Linked Lists, Trees, Hash Maps.
The key to the Google system design round is asking questions, even more so than you normally would. Because some of the design problems presented aren't solvable if you don't ask the right questions.
The system design round is the second most important interview round, and interviewers are once again allowed to ask anything they want.
Expect system design questions like:
The Google behavioral screen is the easiest FAANG behavioral, and then there's the chance that you don't even have to do the behavioral round. In your prep, focus on coding more than on the behavioral side.
Interviewers will likely ask reflective questions, as opposed to other FAANG companies, which are more likely to ask situational questions. Reflective questions ask you to reflect on less concrete things. A smart way to handle this for yourself is to formulate the questions like situational questions in your head. Use real experiences in your answers.
Expect questions as follows:
Avoid these mistakes to increase your chances of passing Google's interview process and standing out as a candidate.
Google's interview focuses heavily on coding, mainly data structures and algorithms. Failing to practice these will not benefit you.
For mid- and senior roles, a lack of system design knowledge can be a dealbreaker. Practice both low-level and high-level system design questions.
Candidates who don’t explain their thought processes clearly can struggle, as interviewers evaluate problem-solving ability through communication.
Always test code for various inputs, including edge cases, to show thorough problem-solving skills.
Rushing into solving a problem without fully understanding the requirements can lead to mistakes. Make sure to ask enough questions and, most importantly, don't be afraid to ask them.
After the interview, the interviewer rates each candidate on a seven-point scale: strong no-hire, no hire, leaning no-hire, on the fence, leaning hire, hire, strong hire.
Depending on where you land on the scale, you can get an offer or an additional interview round. If you land on strong no-hire, you're blocked from interviewing at Google for an unknown amount of time, but this could be years.
For the team-matching part, an objective hiring committee consisting of four to five engineers and engineering managers takes a look at a packet assembled by your recruiter. The packet consists of your resume, referral notes (if there are any), recruiter's notes, and feedback from all your interview rounds. The committee evaluates your data and makes a hiring decision based on that. When you've passed the hiring committee, the team matching will take place.
Your recruiter will propose a few teams, and you'll meet with the hiring manager from those teams to check for a good fit.
Google allows candidates to use popular programming languages such as Python, Java, C++, and Go. Choose a language you are most comfortable with and one that allows for efficient problem-solving.
Preparation time varies based on experience, but candidates typically spend 3 to 6 months practicing coding problems, system design, and behavioral questions.
Yes. Fresh graduates primarily face coding interviews, while experienced engineers undergo additional system design and leadership evaluations.
If you don’t pass, you may reapply after 6 to 12 months (depends on region). Use the feedback provided to strengthen your weak areas before reapplying. You can interview three times in 5 years at Google. If you fail three times, then you're blocked and unable to ever interview at Google again.
Common reasons for rejection include poor coding efficiency, lack of problem-solving depth, insufficient system design knowledge, and weak communication skills.
Yes, Google is open to salary negotiations. Research industry standards and use competing offers to strengthen your position.
Absolutely. While technical skills are crucial, behavioral interviews help assess how well you fit into Google's work culture and team dynamics, though Google does value coding higher than other FAANG companies.
Preparing for a Google software engineer interview is a challenging but rewarding journey. By focusing on coding problems, system design principles, and behavioral questions, candidates can significantly increase their chances of success. The key to success is consistent practice, understanding Google’s evaluation criteria, and approaching the interview with confidence.
Communicate your thought process clearly, write clean and optimized code, and stay calm during your interview. Good luck, and when in doubt, use Phantom Code!
Phantom Code provides real-time AI assistance during technical interviews. Solve DSA problems, system design questions, and more with instant AI-generated solutions.
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