The Software Engineer L3 interview process at Waymo is designed to assess a candidate's foundational knowledge in computer science, problem-solving abilities, coding proficiency, and cultural fit. The process typically involves multiple rounds, including technical interviews focusing on data structures and algorithms, system design, and behavioral aspects. The goal is to identify candidates who can contribute effectively to Waymo's innovative projects in autonomous driving technology.
Rounds·4
Timeline·~14d
Experience·0 - 3 yrs
Comp band·US$90000 - US$130000
Interview time·165 min
Evaluation
What they measure.
Problem-solving skills: Ability to break down complex problems into smaller, manageable parts.
Coding proficiency: Writing clean, efficient, and well-documented code.
Data structures and algorithms: Understanding and application of fundamental CS concepts.
System design: Ability to design scalable, reliable, and maintainable systems.
Behavioral and cultural fit: Communication, teamwork, and alignment with Waymo's values.
Communication: Clearly articulating thoughts and solutions.
Collaboration: Working effectively with others.
Adaptability: Responding to feedback and learning from experiences.
Initiative: Proactively identifying and addressing challenges.
Preparation
How to prepare.
Tips
01Review fundamental computer science concepts: Data Structures, Algorithms, Operating Systems, Databases, Networking.
02Practice coding problems: Focus on arrays, strings, linked lists, trees, graphs, dynamic programming, and sorting/searching algorithms.
03Study system design principles: Scalability, availability, reliability, consistency, and common design patterns.
04Prepare for behavioral questions: Use the STAR method (Situation, Task, Action, Result) to structure your answers.
05Research Waymo: Understand the company's mission, values, and the challenges in the autonomous driving industry.
06Mock interviews: Practice with peers or use online platforms to simulate the interview environment.
Study plan
Fig · Study plan — 05 phases
01 / 05
01
Phase 01 of 05
Data Structures
Weeks 1-2: Data Structures & Basic Algorithms
Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, graphs, hash tables) and their common operations and time complexities. Practice basic algorithm problems related to these structures.
02
Phase 02 of 05
Algorithms
Weeks 3-4: Advanced Algorithms & Problem Solving
Weeks 3-4: Dive deeper into algorithms, including sorting (quicksort, mergesort), searching (binary search), graph traversal (BFS, DFS), and dynamic programming. Solve medium-difficulty problems on platforms like LeetCode.
03
Phase 03 of 05
System Design
Weeks 5-6: System Design Fundamentals
Weeks 5-6: Study system design concepts. Learn about designing scalable web applications, databases, caching strategies, load balancing, and microservices. Practice designing common systems like Twitter feed or URL shortener.
04
Phase 04 of 05
Behavioral
Week 7: Behavioral Preparation
Week 7: Prepare for behavioral questions. Reflect on past experiences and prepare examples using the STAR method for common questions about teamwork, challenges, failures, and successes.
05
Phase 05 of 05
Final Preparation
Week 8: Final Review & Mock Interviews
Week 8: Review all topics, conduct mock interviews, and research Waymo's specific technologies and challenges. Focus on areas where you feel less confident.
Questions
Commonly asked.
Given an array of integers, find the contiguous subarray with the largest sum.
Design a URL shortening service.
Tell me about a time you disagreed with a teammate. How did you handle it?
Implement a function to reverse a linked list.
How would you design a system to detect and prevent deadlocks in a multi-threaded environment?
Describe a project you are particularly proud of and your role in it.
What are the differences between processes and threads?
How would you optimize a slow database query?
Tell me about a time you failed. What did you learn from it?
Design a system for real-time ride-sharing like Uber or Lyft.
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
Mountain View, CA
Interview focus
System design principles relevant to large-scale distributed systems.Understanding of real-time data processing and low-latency requirements.Problem-solving in the context of autonomous vehicle software.
Common questions
How would you design a system to manage traffic light signals for a city?
Discuss a time you had to debug a complex issue. What was your approach?
Explain the trade-offs between different database types (SQL vs. NoSQL).
Tips
Familiarize yourself with distributed systems concepts and common architectural patterns.
Be prepared to discuss your experience with cloud platforms (GCP, AWS, Azure).
Research Waymo's specific challenges and technologies in autonomous driving.
Location
Austin, TX
Interview focus
Core data structures and algorithms, with an emphasis on efficiency.Object-oriented design principles and clean code practices.Collaboration and teamwork skills.
Common questions
Describe a challenging coding problem you solved and how you approached it.
How do you ensure the reliability and safety of software systems?
What are your thoughts on continuous integration and continuous deployment (CI/CD)?
Tips
Practice coding problems on platforms like LeetCode, focusing on medium-difficulty questions.
Review fundamental computer science concepts (operating systems, networking, databases).
Prepare examples that showcase your problem-solving and debugging skills.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Easy
HR / Recruiter Screen · 15 min · Recruiter / HR
This is typically the first or last touchpoint with the recruiting team. They will discuss the role in more detail, answer any questions you have about the company culture, benefits, and compensation. They will also assess your overall interest and fit for the position and guide you through the next steps.
What they look for
Confirmation of interest in the role and company.Discussion of compensation expectations.Answering any final questions the candidate may have.Ensuring a positive candidate experience.
Evaluation
Mutual understanding of the role and expectations.
Candidate's enthusiasm and interest.
Alignment on compensation and benefits.
Professionalism throughout the process.
Sample questions
Do you have any questions for me about the role or Waymo?
HRGeneral
What are your salary expectations?
HRCompensation
Are you interviewing with other companies?
HRGeneral
Prep for this round
01Prepare questions about the role, team, company culture, and career growth.
02Be ready to discuss your salary expectations based on your research.
03Reiterate your interest and enthusiasm for the position.
Common rejection reasons
×Lack of alignment on role expectations.
×Unrealistic salary expectations.
×Poor communication during the offer negotiation phase.
×Concerns raised during background checks.
Med
Technical Interview - Data Structures And Algorithms · 45 min · Software Engineer
This round focuses on assessing your core programming skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your approach, the efficiency of your solution, and the quality of your code. Be prepared to explain your thought process, discuss trade-offs, and consider edge cases.
What they look for
A systematic approach to problem-solving.Proficiency in at least one programming language.Understanding of time and space complexity.Ability to write clean, maintainable code.Good communication skills to explain the approach.
Evaluation
Correctness of the solution.
Efficiency of the solution (time and space complexity).
Clarity and readability of the code.
Ability to test the solution thoroughly.
Communication of the thought process.
Sample questions
Given a binary tree, find its inorder traversal.
TreeRecursionIteration
Find the kth smallest element in an unsorted array.
ArraySortingQuickSelect
Implement a function to check if a string is a palindrome.
StringTwo Pointers
Prep for this round
01Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
02Focus on understanding the underlying data structures and algorithms.
03Practice writing code on a whiteboard or in a simple text editor without IDE assistance.
04Think out loud and communicate your approach to the interviewer.
Common rejection reasons
×Inability to articulate thought process clearly.
×Code does not compile or has significant logical errors.
×Poor understanding of fundamental data structures and algorithms.
×Inability to handle edge cases or optimize solutions.
Medium-Hard
Technical Interview - System Design · 60 min · Senior Software Engineer / Engineering Manager
This round assesses your ability to design and architect software systems. You'll be given an open-ended problem (e.g., design a social media feed, a URL shortener, or a distributed cache) and expected to propose a high-level design. The interviewer will probe your design choices, ask about trade-offs, and explore potential failure scenarios and scaling strategies.
What they look for
A structured approach to system design.Knowledge of distributed systems principles.Ability to identify and address potential bottlenecks.Consideration of non-functional requirements (performance, security, etc.).Effective communication of complex ideas.
Evaluation
Scalability of the proposed design.
Reliability and fault tolerance.
Clarity and completeness of the design.
Understanding of trade-offs between different design choices.
Ability to handle various constraints and requirements.
Sample questions
Design a system like Twitter's news feed.
System DesignScalabilityDistributed Systems
Design a rate limiter.
System DesignAPI DesignConcurrency
Design a distributed key-value store.
System DesignDistributed SystemsDatabases
Prep for this round
01Study common system design patterns and architectures.
02Understand concepts like load balancing, caching, databases (SQL vs. NoSQL), message queues, and APIs.
03Practice designing various systems, considering scalability, availability, and performance.
04Be prepared to discuss trade-offs and justify your design decisions.
Common rejection reasons
×Inability to design a scalable and robust system.
×Lack of understanding of distributed systems concepts.
×Poor consideration of trade-offs and failure scenarios.
×Difficulty in communicating design choices.
Med
Behavioral Interview · 45 min · Hiring Manager / Senior Team Member
This round focuses on your behavioral and cultural fit within Waymo. You'll be asked questions about your past experiences, teamwork, conflict resolution, and how you handle challenges. The goal is to understand your working style, motivations, and how well you align with the company's culture and values. Use the STAR method to provide specific and concise answers.
What they look for
Examples of teamwork and collaboration.Demonstration of leadership and initiative.Ability to handle challenging situations and learn from mistakes.Enthusiasm for Waymo's work in autonomous driving.Honesty and self-awareness.
Evaluation
Alignment with Waymo's values (e.g., safety, innovation, collaboration).
Communication and interpersonal skills.
Problem-solving approach in non-technical contexts.
Motivation and passion for Waymo's mission.
Ability to handle conflict and work in a team.
Sample questions
Tell me about a time you had to work with a difficult colleague.
BehavioralTeamworkConflict Resolution
Describe a situation where you had to take initiative to solve a problem.
BehavioralLeadershipProblem Solving
What are your strengths and weaknesses?
BehavioralSelf-Awareness
Why are you interested in Waymo?
BehavioralMotivation
Prep for this round
01Prepare examples using the STAR method for common behavioral questions.
02Research Waymo's mission, values, and culture.
03Think about why you want to work at Waymo specifically.
04Be ready to discuss your strengths, weaknesses, and career goals.
Common rejection reasons
×Lack of self-awareness or inability to reflect on past experiences.
×Poor communication or interpersonal skills.
×Mismatch with company culture or values.
×Inability to provide specific examples to support claims.