Scale Engineer

Software Engineer

Software EngineerL3Medium

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.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: Data Structures, Algorithms, Operating Systems, Databases, Networking.
  2. Practice coding problems: Focus on arrays, strings, linked lists, trees, graphs, dynamic programming, and sorting/searching algorithms.
  3. Study system design principles: Scalability, availability, reliability, consistency, and common design patterns.
  4. Prepare for behavioral questions: Use the STAR method (Situation, Task, Action, Result) to structure your answers.
  5. Research Waymo: Understand the company's mission, values, and the challenges in the autonomous driving industry.
  6. Mock 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.

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.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Waymo.

Frequently reported on Waymo loops

View all at Waymo

Other guides

More at Waymo.