Greedy on grid

Last updated: June 14, 2026

Quick Overview

Given a grid of integers, implement a greedy algorithm to find the maximum sum of values collected while moving from the top-left corner to the bottom-right corner, only being allowed to move right or down. The input will be a 2D array of integers, and the output should be a single integer representing the maximum sum.

Netflix
Coding & Algorithms
Software Engineer
Netflix
June 14, 2026
Software Engineer
Onsite
Coding & Algorithms
Medium

30

5

2,452 solved


Given a grid of integers, implement a greedy algorithm to find the maximum sum of values collected while moving from the top-left corner to the bottom-right corner, only being allowed to move right or down. The input will be a 2D array of integers, and the output should be a single integer representing the maximum sum.

Netflix uses this problem in the Onsite to evaluate your algorithmic thinking. They expect you to discuss multiple approaches, analyze trade-offs between them, and implement the optimal solution with clean, readable code.

What the Interviewer Expects
  • Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
  • Discuss multiple approaches and trade-offs before coding
  • Implement an optimal solution with clean, production-quality code
  • Handle all edge cases including boundary conditions and invalid input
  • Optimize both time and space complexity with clear justification
  • Test your solution systematically with well-chosen examples
Key Topics to Cover
Hash maps and frequency counting
Tree structures and recursion
Binary search and divide and conquer
Time and space complexity analysis
Dynamic programming and memoization
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • What happens if the input contains duplicates?
  • What if the input doesn't fit in memory?
  • How would your solution change if the input was sorted?
  • How would you modify your solution to handle streaming input?
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Sample Answer
Problem Analysis

The problem requires finding the maximum sum of values collected while moving from the top-left corner to the bottom-right corner of a grid. The only allowed moves are right and down. This suggests a ...

Approach
  1. Define a DP Table: Create a 2D list dp where dp[i][j] represents the maximum sum that can be collected from the top-left corner (0,0) to cell (i,j).
  2. Base Case: Initialize `dp[0][0]...

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