# Software Engineer
**Role:** Software Engineer · **Level:** L2
**Company:** [OpenAI](https://scaleengineer.com/companies/openai)
**Difficulty:** Medium
**Salary:** US$130000 - US$180000
**Experience:** 2 - 5
**Timeline:** ~14 days
This interview process is designed to assess candidates for a Software Engineer (L2) position at OpenAI. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit.
Canonical: https://scaleengineer.com/interviews/openai/l2-software-engineer
---
## Overall evaluation

- Technical Skills
- System Design
- Behavioral & Cultural Fit

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a system to handle millions of concurrent users for a social media platform.
- How would you optimize a slow database query?
- Describe a time you disagreed with a teammate and how you resolved it.
- What are the trade-offs between SQL and NoSQL databases?
- Explain the concept of recursion and provide an example.
- How do you approach debugging a complex issue in a distributed system?

## Preparation tips

### lists

- Review fundamental data structures and algorithms.
- Practice coding problems on platforms like LeetCode and HackerRank.
- Study system design concepts and common architectural patterns.
- Prepare to discuss past projects and technical challenges in detail.
- Research OpenAI's mission, values, and recent work.
- Practice behavioral questions using the STAR method.

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these from scratch and analyze their time and space complexity.","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Practice coding."}
- {"title":"System Design","longDescription":"Weeks 3-4: Dive into system design. Cover topics like database design, caching, load balancing, message queues, and distributed systems concepts (CAP theorem, consistency models). Study common design patterns for scalable applications.","shortDescription":"Weeks 3-4: System Design principles and distributed systems. Study common patterns."}
- {"title":"Behavioral Preparation","longDescription":"Week 5: Prepare for behavioral interviews. Reflect on past experiences related to teamwork, problem-solving, leadership, and handling challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers.","shortDescription":"Week 5: Behavioral interview preparation. Use STAR method."}
- {"title":"Mock Interviews & Review","longDescription":"Week 6: Mock interviews and review. Conduct mock interviews with peers or mentors to simulate the actual interview environment. Review your weak areas and refine your explanations.","shortDescription":"Week 6: Mock interviews and final review."}

## Location differences

- {"location":"San Francisco","differences":{"tips":["Familiarize yourself with common distributed system design patterns.","Be prepared to discuss trade-offs in system design decisions.","Practice explaining your thought process for problem-solving."],"interviewFocus":["Deep understanding of distributed systems and scalability.","Experience with large-scale data processing.","Ability to articulate complex technical concepts clearly."],"commonQuestions":["How would you design a URL shortener service?","Explain the CAP theorem and its implications for distributed systems.","Describe a challenging technical problem you solved and how you approached it."]}}
- {"location":"New York","differences":{"tips":["Review common cloud architecture patterns.","Prepare examples of leading technical discussions or projects.","Understand the nuances of microservices architecture."],"interviewFocus":["Experience with cloud-native technologies (e.g., Kubernetes, Docker).","Strong understanding of API design and best practices.","Leadership potential and collaboration skills."],"commonQuestions":["How would you design a real-time notification system?","Discuss the challenges of building a scalable API gateway.","Tell me about a time you had to mentor a junior engineer."]}}

## Round 1: Data Structures and Algorithms
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Coding challenge focusing on data structures and algorithms.
This round focuses on your fundamental programming skills. You will be asked to solve coding problems that test your knowledge of data structures and algorithms. The interviewer will assess your ability to analyze problems, devise efficient solutions, and implement them correctly in code.
**Interviewers look for:** Logical thinking; Strong grasp of fundamental algorithms and data structures; Ability to write clean, readable code
**Evaluation criteria:** Correctness of solution; Efficiency of solution (time and space complexity); Clarity and organization of code; Problem-solving approach
**Common rejection reasons:** Inability to articulate thought process; Incorrect or inefficient algorithmic solutions; Poor code quality
## Questions

- Reverse a linked list.
- Find the kth smallest element in a binary search tree.
- Implement a function to check if a string is a palindrome.

## Preparation tips

- Practice coding problems regularly.
- Understand the time and space complexity of your solutions.
- Be prepared to explain your approach and justify your choices.

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Design a scalable system, focusing on architecture and trade-offs.
In this round, you will be asked to design a scalable system. This could involve designing a social media feed, a URL shortener, or a real-time chat application. The interviewer will assess your ability to think about system architecture, identify bottlenecks, and propose solutions that can handle large amounts of data and traffic.
**Interviewers look for:** Ability to design complex systems; Understanding of distributed systems; Knowledge of various technologies and their applications; Pragmatic approach to problem-solving
**Evaluation criteria:** Scalability of the design; Robustness and fault tolerance; Clarity of the architecture; Consideration of trade-offs
**Common rejection reasons:** Lack of understanding of system design principles; Inability to handle scale and performance considerations; Poor trade-off analysis
## Questions

- Design a Twitter feed.
- Design a rate limiter.
- Design a distributed key-value store.

## Preparation tips

- Study common system design patterns.
- Understand concepts like load balancing, caching, and database sharding.
- Practice designing systems for scale.
- Be prepared to discuss trade-offs between different design choices.

## Round 3: Behavioral and Managerial
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Assesses behavioral fit, teamwork, and motivation.
This round assesses your behavioral and cultural fit with OpenAI. You will be asked questions about your past experiences, how you handle challenges, and your motivations for joining OpenAI. The interviewer wants to understand your working style, your ability to collaborate, and how you align with the company's values.
**Interviewers look for:** Enthusiasm for OpenAI's mission; Ability to work effectively in a team; Growth mindset; Honesty and integrity
**Evaluation criteria:** Communication skills; Teamwork and collaboration; Problem-solving approach; Adaptability and learning mindset; Alignment with OpenAI's values
**Common rejection reasons:** Poor communication skills; Lack of self-awareness; Inability to work collaboratively; Mismatch with company culture
## Questions

- Tell me about a time you faced a significant technical challenge and how you overcame it.
- Describe a situation where you had to work with a difficult colleague. How did you handle it?
- Why are you interested in working at OpenAI?

## Preparation tips

- Prepare examples using the STAR method.
- Research OpenAI's mission, values, and culture.
- Be ready to discuss your career goals and why you are interested in this role.
- Ask thoughtful questions about the team and the company.