🚀 My Uber Frontend Interview Experience | 65 LPA | Software Engineer II

Overview

This document details a frontend interview experience at Uber for a Software Engineer II role. The interview process was structured to assess the candidate's technical abilities, problem-solving skills, and collaborative attributes. The rounds included online assessments, machine coding, specialized depth interviews, collaboration assessments, and data structures and algorithms challenges.

Interview Rounds

Round 1: Online Screening Test (CodeSignal)

The initial screening involved an online assessment on the CodeSignal platform. This round tested the candidate's knowledge of fundamental frontend concepts and problem-solving abilities.

Tip: Candidates should practice competitive programming problems and review frontend MCQs related to browser internals, JavaScript quirks, and debugging techniques.

Round 2: Machine Coding Interview

This round consisted of two parts:

1. Project Discussion: The interviewer engaged in a detailed discussion about the candidate's previous project experiences, focusing on implemented performance optimizations and addressed real-world challenges.
2. Machine Coding Problem: Grid Light Box: The candidate was tasked with a machine coding problem involving a grid light box.

JavaScript Note: It is recommended to debounce user interactions, particularly when using key listeners for building lightboxes.

Round 3: Depth in Specialization Interview

This round centered on problem-solving and optimization skills. The candidate was presented with the following task:

Task: Memoize an Asynchronous Function

async function getUserData(q, key, cb) {
 fetch(`localhost:3000/get/users?query=${q}&key=${key}`)
 .then(res => HTTPResponse(res, cb));
}
let memoFun = memoizeUserData(getUserData);
memoFun('test', 100, callback);

Consider using a Map as a cache and a serialize function to generate consistent cache keys for unordered JSON payloads.

Round 4: Collaboration & Leadership Interview

This round assessed the candidate's collaboration and leadership skills. Candidates are encouraged to use the STAR format (Situation, Task, Action, Result) when answering questions and to demonstrate empathy, initiative, and ownership in their responses.

Round 5: Data Structures & Algorithms (DSA)

Problem: Zombie Infection Spread

Matrix Representation: 2 → Infected city 1 → Vulnerable city 0 → Uninhabitable land

Goal: Find how many days it takes to infect all vulnerable cities using BFS.

Sample Input:

2 1 1
1 1 0
0 1 1

Frontend System Design Tip: Consider render performance, lazy loading, and optimized re-renders in addition to backend scalability.

Key Takeaways

• Practice machine coding problems, emphasizing real-world edge cases.
• Master the memoization of asynchronous functions.
• Prepare for behavioral rounds and demonstrate strong communication skills.
• Reinforce fundamental knowledge of caching, pagination, and lazy loading.
• Practice BFS/DFS/grid traversal DSA questions.