← Walmart Interview Insights

Walmart·Software Engineer·Onsite - Multi Round·Junior

JuniorNo response
Jul 2024Remote

Summary

Applied for a fall internship, made it through an OA, a recruiter screen, a technical phone interview, and a full onsite with the team, then heard absolutely nothing for five weeks despite following up. The onsite felt fine, maybe even good, which makes the silence more annoying than an actual rejection would have been.

Questions Asked (3)

Q1

Walk me through your projects and explain the specific design or implementation choices you made.

Technical Trade-offsSystem Design
Author's notes

This part actually felt comfortable.

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Q2

Work through a system design problem with the interviewer.

System DesignTechnical Trade-offs
Author's notes

Struggled here.

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Q3

Solve a medium-difficulty coding problem.

Algorithms & Data Structures
Author's notes

They said they kept it medium because time was short, which I appreciated.

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AI HintsAI Generated

Suggested Approach

Start by restating the problem in your own words and asking clarifying questions to confirm assumptions. Then discuss a brute-force solution and its time/space complexity before optimizing with appropriate data structures or algorithms. Finally, walk through your optimized code with a test case, explaining your reasoning at each step.

Pro tip: Verbalize your thought process continuously, even when stuck, because interviewers evaluate your problem-solving approach and communication more than just the final code. If you recognize the problem pattern (e.g., sliding window, two pointers, BFS), mention it explicitly to show structured thinking.

1. Understand and Clarify

Restate the problem, ask about input constraints, edge cases, and expected output format. Confirm any assumptions before proceeding.

2. Explore Examples

Walk through a simple example and a few edge cases to solidify your understanding and uncover potential pitfalls.

3. Brainstorm and Compare Approaches

Propose a brute-force solution, analyze its complexity, then suggest optimizations using appropriate data structures or algorithmic patterns.

4. Implement and Test

Write clean, modular code while explaining your logic. Test with the examples and edge cases, and debug if necessary.

5. Analyze and Reflect

State the final time and space complexity, discuss trade-offs, and mention potential improvements or alternative solutions.

Key Points to Mention

  • Time and space complexity analysis for each approach
  • Edge cases such as empty input, single element, duplicates, or large inputs
  • Choice of data structures (e.g., hash map, heap, queue) and why they are optimal
  • Algorithmic patterns like two pointers, sliding window, BFS/DFS, or dynamic programming
  • Code readability and modularity (e.g., helper functions, meaningful variable names)
  • Testing strategy including unit tests and handling of invalid inputs

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.