Scale Engineer

Software Engineer

Software EngineerL4Medium to Hard

The Software Engineer L4 interview at Waymo is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds focusing on data structures, algorithms, system design, and behavioral aspects.

Rounds·4

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$130000 - US$180000

Interview time·210 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • System design capabilities
  • Coding proficiency
  • Communication skills
  • Teamwork and collaboration
  • Adaptability and learning agility
  • Alignment with Waymo's values

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or similar, focusing on medium to hard difficulty.
  3. Study system design principles, including scalability, reliability, availability, and common design patterns.
  4. Understand distributed systems concepts such as consensus, caching, load balancing, and message queues.
  5. Prepare for behavioral questions by reflecting on past projects and experiences using the STAR method (Situation, Task, Action, Result).
  6. Research Waymo's mission, values, and recent technological advancements.
  7. Familiarize yourself with common interview questions for Software Engineers at top tech companies.
  8. Practice explaining your thought process clearly and concisely.
  9. Prepare questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Solve 2-3 problems daily.

Weeks 1-2: Focus on core data structures and algorithms. Cover arrays, linked lists, stacks, queues, trees (binary, BST, AVL), heaps, hash tables, graphs. Practice algorithms like sorting (quicksort, mergesort), searching (binary search), dynamic programming, greedy algorithms, and graph traversal (BFS, DFS). Aim to solve 2-3 problems per day.

Questions

Commonly asked.

  • Given a stream of data, design a system to find the top K frequent elements.
  • How would you design a URL shortener service?
  • Explain the difference between a process and a thread.
  • Describe a time you disagreed with a teammate and how you resolved it.
  • Implement a function to find the kth smallest element in a Binary Search Tree.
  • Design a distributed cache system.
  • What are the challenges of working with large datasets?
  • Tell me about a time you failed and what you learned from it.
  • How would you design a system to handle millions of concurrent users?
  • Explain the concept of eventual consistency.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Mountain View, CA

Interview focus

Emphasis on real-world applications of algorithms and data structures in autonomous driving.Deeper dive into system design for safety-critical systems.Understanding of sensor technologies (LiDAR, camera, radar) and their integration.

Common questions

  • How would you design a system to detect and avoid obstacles for a self-driving car?
  • Discuss the trade-offs between different sensor fusion techniques.
  • Explain the challenges of real-time data processing in autonomous driving.
  • Describe a time you had to debug a complex distributed system.

Tips

  • Familiarize yourself with Waymo's technology stack and the challenges of autonomous driving.
  • Be prepared to discuss specific projects related to robotics, AI, or large-scale systems.
  • Highlight any experience with safety-critical software development.

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.