Google Software Engineer Interview Questions

Google Software Engineer interview questions typically test core algorithmic problem solving, clean coding under time pressure, and — for mid-to-senior levels — system design and scalability thinking. The process is multi-stage: a recruiter screen followed by one or two timed technical screens (often live coding on a shared Google Doc), then a virtual or onsite loop with several 45-minute interviews that mix coding, design (L4/L5+), and behavioral “Googleyness” assessments. Interviewers evaluate general cognitive ability, role-related technical depth, leadership, and culture fit, and candidates should expect iterative feedback and a hiring-committee review before team matching. ([leetcopilot.dev](https://leetcopilot.dev/blog/google-coding-interview-guide-2026?utm_source=openai)) For interview preparation focus on timed practice of data-structures and algorithms, simulate coding on Google Docs, and prepare concise STAR-style stories that show impact and collaboration; senior candidates must add targeted system-design drills that discuss trade-offs, reliability, and scaling. Allow several weeks of structured practice, rehearse clear verbal explanations, and be ready to ask clar

301 Questions 1 Company08.01.2026
Showing 20 results
Role
Google logo
Google
Medium
Software Engineer

Return dictionary words matching a prefix

You are given a list of strings words (a dictionary) and a string prefix. Return all words in words that start with prefix. Clarifications/constraints...

Coding & Algorithms
26
0
192 people solved
Mar 9, 2026
Google logo
Google
Medium
Software Engineer

Return Words Matching a Typed Prefix

Given words and a query prefix, return all words starting with that prefix in lexicographic order. Implement: `python def prefix_matches(words: list[s...

Coding & Algorithms
0
0
8 people solved
Mar 6, 2026
Google logo
Google
Hard
Software Engineer

Find safe travel intervals between planet influences

You are planning a space route along a one-dimensional line (the x-axis). You are given a list of planets. Each planet is represented by an integer pa...

Coding & Algorithms
12
2
88 people solved
Nov 22, 2025
Google logo
Google
Medium
Software Engineer Locked

Solve several coding interview problems

This set of problems evaluates proficiency in string processing and combinatorial parsing, arbitrary-precision arithmetic using string representations...

Coding & Algorithms
10
0
99 people solved
Mar 4, 2026
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Google
Medium
Software Engineer

Find largest subset sharing a common digit

You are given an array nums of length N (1 ≤ N ≤ 100). Every element is a two-digit integer between 10 and 99 (inclusive). Select as many elements as ...

Coding & Algorithms
9
0
103 people solved
Feb 25, 2026
Google logo
Google
Medium
Software Engineer

Handle overwhelmed team as senior manager

Handle overwhelmed team as senior manager Behavioral: Leading an Overloaded Engineering Team Context You are a senior engineering leader. Your softwar...

Behavioral & Leadership
2
0
42 people solved
Aug 8, 2025
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Google
Medium
Software Engineer Locked

Solve array-sum and city-community problems

This question evaluates array-processing and grid/graph connectivity skills, covering counting subarrays with a target sum and identifying connected b...

Coding & Algorithms
6
0
62 people solved
Feb 20, 2026
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Google
Medium
Software Engineer Locked

Compute minimum servers for cyclic tasks

This question evaluates understanding of interval scheduling, overlap detection, and handling cyclic time via modular arithmetic for tasks that wrap p...

Coding & Algorithms
20
1
192 people solved
Feb 12, 2026
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Google
Medium
Software Engineer Locked

Min boards to cover roof holes

This question evaluates competency in combinatorial optimization and problem modeling for coverage constraints, testing algorithmic reasoning, complex...

Coding & Algorithms
16
1
161 people solved
Feb 12, 2026
Google logo
Google
Medium
Software Engineer Locked

Decompress encoded string with nested repeats

This question evaluates string parsing and manipulation skills, particularly handling nested repetition encodings and reasoning about output growth, a...

Coding & Algorithms
27
0
196 people solved
Feb 11, 2026
Google logo
Google
Hard
Software Engineer Locked

Find minimum threshold enabling grid path

This question evaluates a candidate's understanding of grid pathfinding, reachability under constraints, and algorithmic optimization, focusing on ski...

Coding & Algorithms
10
0
153 people solved
Feb 11, 2026
Google logo
Google
Hard
Software EngineerNew Grad

Answer common behavioral questions for new grad

You are in a 35-minute behavioral round for a new-grad software role. Prepare concise, structured answers (1–3 minutes each) to the following question...

Behavioral & Leadership
4
0
61 people solved
Oct 14, 2025
Google logo
Google
Easy
Software Engineer AI Locked

Find Feature Activation Order

This question evaluates graph-algorithms and dependency-resolution skills, including reasoning about prerequisite relationships, ordering constraints,...

Coding & Algorithms
9
0
62 people solved
Jan 26, 2026
Google logo
Google
Medium
Software Engineer Locked

Solve matrix groups and recipe inventory

This pair of problems evaluates block-wise grid processing and aggregation for minimum-value selection alongside dependency-resolution and resource-al...

Coding & Algorithms
25
0
216 people solved
Jan 22, 2026
Google logo
Google
Hard
Software Engineer Locked

Compute distance-sum from every tree node

This question evaluates understanding of tree and graph algorithms, including computation of pairwise distances and techniques for aggregating path le...

Coding & Algorithms
20
0
145 people solved
Jan 22, 2026
Google logo
Google
Hard
Software Engineer

Explain SLI/SLO/SLA and design monitoring

SLI vs SLO vs SLA for a Web API; Error Budgets; Monitoring and Alerting Design Context: You are designing reliability goals and on-call policies for a...

Software Engineering Fundamentals
8
0
59 people solved
Sep 6, 2025
Google logo
Google
Medium
Software Engineer

Maintain k-th largest in a stream

Design and implement a class KthLargest that, given an integer k and an initial list of integers, supports: ( 1) KthLargest(k, nums): constructor; ( 2...

Coding & Algorithms
7
0
75 people solved
Sep 6, 2025
Google logo
Google
Medium
Software Engineer

Find largest subset sharing a common digit

You are given a list of two-digit integers (each from 10 to 99, inclusive). You want to select as many numbers as possible in one selection such that:...

Coding & Algorithms
6
0
71 people solved
Sep 5, 2025
Google logo
Google
Easy
Software Engineer Locked

Design compressed vector and compute dot product

This question evaluates understanding of data structure design, sequence compression concepts (such as run-length patterns), and numeric algorithm eff...

Coding & Algorithms
4
0
81 people solved
Jan 11, 2026
Google logo
Google
Medium
Software Engineer Locked

Compute distance to nearest taxi in grid

This question evaluates understanding of graph traversal and shortest-path reasoning on grids, algorithmic problem-solving for computing distances fro...

Coding & Algorithms
27
0
213 people solved
Jan 10, 2026

Frequently Asked Questions

How difficult are Google Software Engineer interview questions?
Google Software Engineer interview questions are typically challenging and focus on problem-solving under time pressure. Interviewers commonly evaluate algorithmic thinking, correctness, complexity analysis, and clear communication rather than memorized solutions. Difficulty varies by level: entry-level roles emphasize core data structures and coding fluency, while mid-to-senior levels include harder algorithmic problems and system-design trade-offs. Expect many problems to fall in the medium-to-hard range on public practice platforms, with follow-ups that push optimization or edge-case handling. Success usually depends on rigorous practice, clear explanation of trade-offs, and demonstrating the ability to recover and iterate when given hints.
What is the typical Google Software Engineer interview process and where do software-engineering topics appear?
A typical Google Software Engineer process begins with a recruiter screen and one or more technical phone or online coding screens, then advances to a multi-session onsite or virtual onsite loop. Software-engineering topics appear throughout: coding interviews assess algorithms, data structures, and complexity; behavioral rounds probe collaboration and leadership (often called “Googliness”); and for more senior roles you’ll see system-design interviews that evaluate architecture, scalability, and trade-offs. Teams may also request an online assessment or take-home exercise for certain roles. The process often concludes with team matching and a hiring-committee review.
How long should I prepare for Google Software Engineer interviews and what timeline works best?
Preparation time depends on background and target level, but a structured plan over six to twelve weeks is common for most candidates. Early weeks should reinforce fundamentals—arrays, trees, graphs, hash tables, and complexity—while middle weeks should emphasize timed problem sets and mock interviews to build speed and communication. If you’re targeting L4 and above, reserve additional weeks for system design and architecture. Integrate behavioral story preparation and resume-deep-dive practice throughout. Shorter, intensive sprints can work for experienced candidates with regular practice; consistent, deliberate practice beats last-minute cramming.
What key subtopics should I focus on for a Google Software Engineer interview?
Focus on algorithmic fundamentals and their practical application: arrays and strings, trees and graphs, dynamic programming, greedy strategies, hash-based techniques, and sorting. Develop strong complexity reasoning and be comfortable with edge-case handling, correctness proofs, and incremental optimizations. For mid-to-senior roles, add system-design fundamentals—API definition, data modeling, storage choices, caching, sharding, consistency models, load balancing, and reliability trade-offs. Also practice writing clean, testable code in a plain editor, debugging on the fly, and explaining trade-offs clearly; behavioral skills and clear storytelling about past projects are evaluated alongside technical depth.
What standout tips should I follow and what common pitfalls should I avoid during Google Software Engineer interviews?
Standout tips include clarifying requirements before coding, speaking your thought process clearly, writing a correct baseline solution first, and iteratively improving it while discussing trade-offs. Practice coding in a plain editor or Google Docs to mirror the interview environment, and run through mock interviews under timed conditions. For system design, structure your approach from requirements to API and data model before discussing scalability and failure modes. Common pitfalls are jumping into code without clarifying constraints, ignoring edge cases or complexity, failing to test examples aloud, and treating interview problems like puzzles instead of engineering tasks. Prepare behavioral STAR stories tied to measurable impact.

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