# L4
**Role:** Software Engineer · **Level:** SWE IV
**Company:** [Samsara](https://scaleengineer.com/companies/samsara)
**Difficulty:** Medium to Hard
**Salary:** US$140000 - US$180000
**Experience:** 4 - 7
**Timeline:** ~10 days
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.
Canonical: https://scaleengineer.com/interviews/samsara/swe-iv-software-engineer
---
## Overall evaluation

- Technical Skills
- System Design
- Behavioral and Cultural Fit

## Questions 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?

## Preparation tips

### lists

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

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"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.","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 2-3 problems/day."}
- {"title":"System Design","longDescription":"Weeks 3-4: Dive into system design concepts. Study topics like scalability, availability, consistency, load balancing, caching, databases (SQL vs. NoSQL), message queues, and microservices. Work through common system design interview questions.","shortDescription":"Weeks 3-4: System Design concepts. Study scalability, databases, microservices."}
- {"title":"Behavioral Preparation","longDescription":"Week 5: Prepare for behavioral interviews. Reflect on your past experiences and identify examples that demonstrate leadership, teamwork, problem-solving, and handling conflict. Use the STAR method to structure your answers.","shortDescription":"Week 5: Behavioral Interview preparation. Use STAR method."}
- {"title":"Company Research and Mock Interviews","longDescription":"Week 6: Research Samsara thoroughly. Understand their business, products, and recent news. Review your resume and prepare to discuss your projects in depth. Do mock interviews with peers or mentors.","shortDescription":"Week 6: Company Research & Mock Interviews. Review resume."}

## Location differences

- {"location":"San Francisco Bay Area","differences":{"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."],"interviewFocus":["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."],"commonQuestions":["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?"]}}
- {"location":"Remote","differences":{"tips":["Showcase your experience with data-intensive applications.","Be ready to discuss your strategies for effective remote collaboration.","Prepare examples of how you've improved system performance.","Understand Samsara's approach to data privacy and security."],"interviewFocus":["Focus on data engineering and large-scale data processing.","Problem-solving skills in a remote or hybrid work environment.","Ability to work autonomously and drive projects forward.","Experience with performance tuning and optimization."],"commonQuestions":["How would you optimize a data pipeline for a large IoT dataset?","Describe a situation where you had to deal with conflicting technical opinions within a team.","What are the trade-offs between different database technologies for time-series data?","How do you ensure the reliability and scalability of microservices?"]}}

## Round 1: Technical Screen - Coding
**Type:** Data Structures and Algorithms Interview · **Difficulty:** Medium · **Duration:** 45 min
Coding challenge focusing on data structures and algorithms.
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.
**Interviewers look for:** Clear thinking process; Ability to translate requirements into code; Proficiency in a chosen programming language; Understanding of time and space complexity
**Evaluation criteria:** Correctness of the solution; Efficiency of the solution (time and space complexity); Code clarity and maintainability; Problem-solving approach
**Common rejection reasons:** Inability to articulate thought process.; Poorly structured or inefficient code.; Lack of understanding of fundamental data structures and algorithms.
## Questions

- Given two sorted arrays, merge them into a single sorted array.
- Implement a function to check if a binary tree is a valid Binary Search Tree.
- Find the first non-repeating character in a string.

## Preparation tips

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

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Design a scalable system based on a given prompt.
This round assesses your ability to design and architect scalable and robust systems. You will be given an open-ended problem (e.g., design Twitter's feed, design a URL shortener) and expected to discuss various components, data models, APIs, and trade-offs. The focus is on your architectural thinking and ability to handle complexity.
**Interviewers look for:** Experience designing complex systems; Knowledge of distributed systems concepts; Ability to think critically about trade-offs; Clear communication of design choices
**Evaluation criteria:** Understanding of system design principles; Ability to design for scale and reliability; Trade-off analysis and justification; Clarity of design and communication
**Common rejection reasons:** Inability to design scalable and reliable systems.; Lack of consideration for edge cases and failure scenarios.; Poor trade-off analysis.; Not addressing requirements adequately.
## Questions

- Design a system to count the number of views for a video platform like YouTube.
- Design a rate limiter for an API.
- Design a distributed message queue.

## Preparation tips

- Study common system design patterns (caching, load balancing, databases, message queues).
- Understand concepts like CAP theorem, consistency models, and availability.
- Practice designing systems like TinyURL, Twitter feed, or a distributed cache.
- Be prepared to justify your design choices and discuss alternatives.

## Round 3: Behavioral and Managerial Interview
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Behavioral questions to assess cultural fit and past experiences.
This round focuses on your behavioral and leadership qualities. You'll be asked questions about your past experiences, how you handle conflict, your approach to teamwork, and your career aspirations. The goal is to understand how you operate within a team and if you align with Samsara's culture.
**Interviewers look for:** Examples of leadership and initiative; Ability to work effectively in a team; How candidates handle challenges and failures; Cultural alignment and positive attitude
**Evaluation criteria:** Alignment with Samsara's values; Teamwork and collaboration skills; Problem-solving approach in real-world scenarios; Communication and interpersonal skills
**Common rejection reasons:** Lack of ownership or accountability.; Poor communication or collaboration skills.; Inability to handle feedback constructively.; Mismatch with company values.
## Questions

- Tell me about a time you had to work with a difficult colleague. How did you manage the situation?
- Describe a project where you took initiative beyond your defined role.
- How do you stay updated with new technologies and trends in software engineering?

## Preparation tips

- Prepare specific examples using the STAR method.
- Think about situations where you demonstrated leadership, teamwork, and problem-solving.
- Be honest and authentic in your responses.
- Ask thoughtful questions about the team, culture, and challenges.