Scale Engineer

L4

Software EngineerSWE IVMedium to Hard

This interview process is for a Software Engineer (SWE IV) at Samsara, targeting candidates with 4-7 years of experience. The process is designed to assess technical proficiency, problem-solving skills, system design capabilities, and cultural fit within the company.

Rounds·3

Timeline·~10d

Experience·4 - 7 yrs

Comp band·US$140000 - US$180000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving ability
  • Algorithmic thinking
  • Data structures knowledge
  • Code quality and efficiency

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Study common system design patterns and principles.
  3. Prepare to discuss your past projects in detail, focusing on your contributions and challenges.
  4. Research Samsara's mission, values, and products.
  5. Practice coding problems on platforms like LeetCode or HackerRank.
  6. Think about behavioral questions using the STAR method (Situation, Task, Action, Result).

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 2-3 problems/day.

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 in your preferred language. Aim for 2-3 coding problems per day.

Questions

Commonly asked.

  • Given a stream of user activity data, design a system to detect fraudulent patterns in real-time.
  • How would you design a distributed cache for a high-traffic web application?
  • Describe a time you disagreed with a technical decision made by your team lead. How did you handle it?
  • What are the challenges of maintaining consistency in a distributed database?
  • Write a function to find the k-th largest element in an unsorted array.
  • How would you design a URL shortening service like bit.ly?
  • Tell me about a project you are particularly proud of and why.
  • How do you approach debugging a complex issue in a production environment?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

San Francisco Bay Area

Interview focus

Emphasis on practical application of distributed systems knowledge.Understanding of cloud-native architectures (AWS, GCP, Azure).Experience with large-scale data processing and real-time systems.Strong communication and collaboration skills.

Common questions

  • Discuss a challenging technical problem you solved in a distributed system.
  • How would you design a real-time analytics dashboard for fleet management?
  • Describe a time you had to mentor a junior engineer. What was your approach?
  • What are your thoughts on the current state of cloud infrastructure and its impact on scalability?

Tips

  • Familiarize yourself with Samsara's core products and technologies.
  • Be prepared to discuss your experience with specific cloud services.
  • Highlight projects where you demonstrated leadership and mentorship.
  • Practice explaining complex technical concepts clearly and concisely.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Med

Data Structures And Algorithms Interview · 45 min · Software Engineer

This round focuses on your fundamental programming skills. You will be asked to solve 1-2 coding problems that test your knowledge of data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and debugging.

What they look for

Clear thinking processAbility to translate requirements into codeProficiency in a chosen programming languageUnderstanding of time and space complexity

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code clarity and maintainability
  • Problem-solving approach

Sample questions

  • Given two sorted arrays, merge them into a single sorted array.

    ArraysSortingTwo Pointers

  • Implement a function to check if a binary tree is a valid Binary Search Tree.

    TreesBinary Search TreeRecursion

  • Find the first non-repeating character in a string.

    StringsHash MapFrequency Counting

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode (Easy/Medium).
  2. 02Focus on understanding the underlying data structures and algorithms.
  3. 03Be prepared to explain your thought process as you code.
  4. 04Practice writing code on a whiteboard or in a shared editor.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Poorly structured or inefficient code.
  • ×Lack of understanding of fundamental data structures and algorithms.

DSA

Coding questions at Samsara.

Frequently reported on Samsara loops

View all at Samsara

Other guides

More at Samsara.