Software Engineer

Software EngineerL4Medium to Hard

This interview process is for a Software Engineer (L4) role at Niantic. It assesses technical skills, problem-solving abilities, and cultural fit for building and scaling real-world games and experiences.

Rounds·3

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$120000 - US$160000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency
  • System design capabilities
  • Scalability and performance considerations
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit with Niantic's values

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash maps, sorting, searching).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
  3. Study system design principles, including scalability, reliability, availability, and common design patterns.
  4. Understand concepts related to distributed systems, databases, and caching.
  5. Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
  6. Research Niantic's products, mission, and values to understand their business and culture.
  7. Practice explaining your thought process clearly and concisely.
  8. Be prepared to discuss your resume and past projects in detail.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Foundational Data Structures and Algorithms

Weeks 1-2: Data Structures & Basic Algorithms. LeetCode Easy/Medium.

Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, hash tables) and basic algorithms (sorting, searching, recursion). Practice implementing these from scratch and analyze their time/space complexity. Solve 10-15 LeetCode Easy/Medium problems per week.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service like bit.ly.
  • Implement a function to reverse a linked list.
  • How would you design a system to handle real-time location updates for millions of players?
  • Tell me about a time you disagreed with a teammate and how you resolved it.
  • What are the trade-offs between SQL and NoSQL databases?
  • Write a function to find the k-th smallest element in an unsorted array.
  • How do you approach debugging a complex distributed system?
  • Describe a project you are particularly proud of and your role in it.
  • What are your thoughts on the future of augmented reality gaming?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

San Francisco

Interview focus

System Design for large-scale, real-time applicationsPerformance optimization in resource-constrained environments (mobile)Understanding of game development principles and challengesCollaboration and teamwork in a fast-paced environment

Common questions

  • How would you design a system to handle real-time location updates for millions of players?
  • Describe a challenging debugging experience you had with a distributed system.
  • What are your thoughts on the latest trends in mobile game development?
  • How do you approach performance optimization in a game environment?
  • Tell me about a time you had to mentor a junior engineer.

Tips

  • Familiarize yourself with Niantic's existing games and technologies (e.g., ARCore, location-based services).
  • Be prepared to discuss trade-offs in system design, especially concerning latency and scalability.
  • Highlight any experience with C++, Unity, or other relevant game development tools.
  • Showcase your ability to work effectively in cross-functional teams.

Rounds

Round-by-round.

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

DSA

Coding questions at Niantic.

Frequently reported on Niantic loops

Other guides

More at Niantic.