# Software Engineer
**Role:** Software Engineer · **Level:** SE 1
**Company:** [Electronic Arts](https://scaleengineer.com/companies/electronic-arts)
**Difficulty:** Medium
**Salary:** US$75000 - US$95000
**Experience:** 0 - 2
**Timeline:** ~14 days
This interview process is designed to assess candidates for a Software Engineer (SE 1) position at Electronic Arts. It evaluates technical skills, problem-solving abilities, and cultural fit within the gaming industry.
Canonical: https://scaleengineer.com/interviews/electronic-arts/se-1-software-engineer
---
## Overall evaluation

- Technical Skills
- Behavioral & Cultural Fit
- Experience & Learning Agility

## Questions asked

- Write a function to reverse a linked list.
- Given an array of integers, find the contiguous subarray with the largest sum.
- Explain the difference between a process and a thread.
- Describe a time you had a conflict with a teammate and how you resolved it.
- How would you design a system to handle user authentication for a large online game?
- What are virtual functions in C++?
- Tell me about a project you are particularly proud of.
- How do you approach debugging complex issues?
- What interests you about working at Electronic Arts?
- If you were given a feature request that seemed technically infeasible, how would you respond?

## Preparation tips

### lists

- Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, sorting, searching).
- Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
- Understand object-oriented programming principles.
- Brush up on C++ or the primary language used in the role (e.g., Python, C#).
- Research common game development concepts (game loops, rendering pipelines, physics engines, networking).
- Prepare to discuss your past projects and contributions in detail.
- Think about behavioral questions using the STAR method (Situation, Task, Action, Result).
- Understand EA's mission, values, and recent game releases.

### studyPlan

- {"title":"Data Structures and Algorithms Fundamentals","longDescription":"Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, hash maps) and basic algorithms (sorting, searching). Practice implementing these from scratch and analyze their time/space complexity. Solve 10-15 easy to medium LeetCode problems.","shortDescription":"Weeks 1-2: Data Structures & Basic Algorithms. Solve 10-15 easy/medium LeetCode problems."}
- {"title":"Advanced Data Structures and Algorithms","longDescription":"Weeks 3-4: Dive into more advanced data structures like trees (binary trees, BSTs, AVL trees) and graphs. Study graph traversal algorithms (BFS, DFS) and common graph problems. Practice 10-15 medium LeetCode problems.","shortDescription":"Weeks 3-4: Advanced DS (Trees, Graphs) & Algorithms. Solve 10-15 medium LeetCode problems."}
- {"title":"Object-Oriented Programming and Language Proficiency","longDescription":"Week 5: Focus on Object-Oriented Programming (OOP) principles (encapsulation, inheritance, polymorphism, abstraction). Review C++ or the primary language's specific features and best practices. Solve 5-10 OOP-focused coding problems.","shortDescription":"Week 5: OOP Principles & Language Proficiency. Solve 5-10 OOP problems."}
- {"title":"Game Development Concepts and Project Preparation","longDescription":"Week 6: Begin exploring game development concepts relevant to the role. This might include basic game loops, rendering concepts, or networking fundamentals depending on the specialization. Review your past projects and prepare to discuss them using the STAR method.","shortDescription":"Week 6: Game Dev Concepts & Project Review. Prepare STAR stories."}
- {"title":"Behavioral Preparation and Company Research","longDescription":"Week 7: Practice behavioral questions. Research EA's culture and values. Prepare questions to ask the interviewer. Do mock interviews if possible.","shortDescription":"Week 7: Behavioral Prep & Company Research. Mock interviews."}

## Location differences

- {"location":"Redwood City, CA","differences":{"tips":["Familiarize yourself with EA's game titles and their technical aspects.","Be prepared to discuss your contributions to game projects, even personal ones.","Highlight any experience with console development (PlayStation, Xbox)."],"interviewFocus":["Specific game engine knowledge (e.g., Unreal Engine, Frostbite)","Performance optimization for real-time graphics","Understanding of game development pipelines"],"commonQuestions":["Tell me about a challenging bug you fixed in a game.","How would you optimize asset loading for a large open-world game?","Describe your experience with C++ in a game development context."]}}
- {"location":"Orlando, FL","differences":{"tips":["Research EA's mobile game portfolio.","Be ready to discuss your understanding of distributed systems.","Emphasize any experience with live-ops and game updates."],"interviewFocus":["Scalability of online services","Network programming and latency","Mobile development best practices"],"commonQuestions":["How would you design a matchmaking system for a competitive online game?","Discuss your experience with cloud-based game services.","What are the challenges of developing for mobile gaming platforms?"]}}

## Round 1: Coding Challenge
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Solve 1-2 coding problems focusing on data structures and algorithms.
This round focuses on assessing your core programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will observe how you approach the problem, communicate your thought process, write code, and test your solution. Expect questions that require you to implement algorithms or manipulate data structures efficiently.
**Interviewers look for:** Logical thinking; Ability to break down complex problems; Clean and readable code; Understanding of Big O notation
**Evaluation criteria:** Correctness of solution; Efficiency of solution (time and space complexity); Clarity and organization of code; Problem-solving approach; Communication of thought process
**Common rejection reasons:** Inability to articulate thought process; Incorrect or inefficient solutions; Poor understanding of fundamental algorithms/data structures
## Questions

- Given a binary tree, determine if it is a valid binary search tree.
- Implement a function to find the k-th smallest element in an unsorted array.

## Preparation tips

- Practice coding on a whiteboard or a shared editor.
- Verbally explain your approach before writing code.
- Consider edge cases and test your code thoroughly.
- Be prepared to discuss the time and space complexity of your solution.

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Design a scalable software system, focusing on components, data flow, and trade-offs.
This round evaluates your ability to design scalable and robust software systems. You'll be presented with a high-level problem (e.g., design a URL shortener, a social media feed, or a game matchmaking service) and asked to outline a potential solution. Focus on identifying core components, data models, APIs, and addressing aspects like scalability, reliability, and performance.
**Interviewers look for:** Ability to design complex systems; Understanding of distributed systems concepts; Pragmatic decision-making; Communication of design choices
**Evaluation criteria:** System design approach; Scalability considerations; Trade-off analysis; Clarity of explanation; Handling of requirements and constraints
**Common rejection reasons:** Lack of system design thinking; Failure to consider scalability and trade-offs; Inability to handle ambiguity
## Questions

- Design a system for real-time leaderboards in a multiplayer game.
- How would you design a game client update system?

## Preparation tips

- Study common system design patterns and architectures.
- Practice designing systems for scale.
- Be prepared to discuss trade-offs between different design choices.
- Clarify requirements and assumptions upfront.

## Round 3: Behavioral and Manager Interview
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Discuss past experiences, teamwork, and motivation using the STAR method.
This interview focuses on your behavioral and situational responses. You'll be asked questions about past experiences, teamwork, conflict resolution, and how you handle challenges. The goal is to understand how you operate within a team and if you align with EA's culture. Use the STAR method to structure your answers.
**Interviewers look for:** Collaboration skills; Resilience and adaptability; Passion for games and EA's products; Positive attitude
**Evaluation criteria:** Behavioral competencies (teamwork, problem-solving, communication); Motivation and passion for gaming; Alignment with EA's values; Self-awareness and reflection
**Common rejection reasons:** Poor communication skills; Lack of enthusiasm or passion for gaming; Inability to provide specific examples; Poor cultural fit
## Questions

- Tell me about a time you failed and what you learned from it.
- Describe a situation where you had to work with a difficult team member.
- What motivates you to work in the gaming industry?

## Preparation tips

- Prepare specific examples using the STAR method.
- Research EA's company culture and values.
- Be enthusiastic and genuine.
- Ask thoughtful questions about the team and role.