Meta — Software Engineer ❌ Failed
Level: Senior-Level
Round: Onsite · Type: Multiple Types · Difficulty: 7/10 · Duration: 240 min · Interviewer: Neutral
Topics: Behavioral Questions, Coding, AI Coding, System Design, Breadth-First Search, Object-Oriented Programming
Location: Menlo Park, CA
Interview date: 2026-01-18
Got offer: False
Summary
Round 1: Behavioral (BQ)
Question: Standard behavioral questions. The interviewer explored a single scenario in depth, probing for multiple aspects.
Round 2: Coding
Question: Two coding questions: a slight variation of a string search problem, and a modified problem involving checking elements on both sides of an array.
Round 3: AI Coding
Question: Maze navigation with complex, nested OOP code. I struggled with understanding the existing code structure and felt overwhelmed. I did not use the available AI assistance.
Round 4: System Design
Question: Design a food ordering and delivery system. I lacked preparation in this area and struggled to provide a comprehensive design. The interviewer asked about single points of failure.
Details
Preparation Tips & Key Takeaways
What I Learned
- The AI coding round focuses on code comprehension and debugging skills in a complex codebase, not just algorithmic implementation.
- System design preparation should cover a wide range of real-world applications, as the questions can be unexpected.
- Don't be afraid to leverage AI tools during the interview if they are available; they are meant to help navigate complex code.
Recommended Preparation
Coding Practice
- Practice variations of common string search algorithms.
- Focus on problems that require considering elements from both sides of a data structure.
System Design
- Study common system design patterns for food delivery and ordering systems.
- Review single points of failure and scalability strategies.
AI Coding
- Familiarize yourself with debugging and understanding complex codebases.
- Practice using AI tools to assist in code comprehension and debugging.
Resources I Recommend
- LeetCode for coding practice.
- System design interview resources covering food delivery applications.
- Tutorials on using AI tools for code debugging and comprehension.
Common Pitfalls to Avoid
- Underestimating the complexity of the AI coding round's code comprehension aspect.
- Lack of preparation in specific system design scenarios.
- Hesitation to use available AI tools for assistance.
LeetCode similar: LeetCode 1047, LeetCode 199