# L7
**Role:** Software Engineer · **Level:** Software Engineer 3
**Company:** [General Motors](https://scaleengineer.com/companies/general-motors)
**Difficulty:** Hard
**Salary:** US$180000 - US$220000
**Experience:** 7 - 10
**Timeline:** ~14 days
This interview process is for a Software Engineer L7 position at General Motors, focusing on a Software Engineer 3 level.
Canonical: https://scaleengineer.com/interviews/general-motors/software-engineer-3-software-engineer
---
## Overall evaluation

- Technical Proficiency
- Leadership and Impact
- Communication and Collaboration

## Questions asked

- Design a system to manage vehicle telematics data.
- How would you implement a real-time recommendation engine for in-car infotainment?
- Describe a situation where you had to deal with a major production issue. What was your approach?
- What are the trade-offs between monolithic and microservices architectures?
- How do you ensure code quality and maintainability in a large team?
- Tell me about a time you disagreed with a technical decision made by your manager or team. How did you handle it?
- What are your thoughts on the future of electric and autonomous vehicles from a software perspective?
- Design a distributed rate limiter for an API.
- How would you approach debugging a performance bottleneck in a distributed system?
- Describe your experience with cloud-native development and deployment.

## Preparation tips

### lists

- Thoroughly review your resume and be prepared to discuss every project in detail.
- Brush up on data structures, algorithms, and object-oriented design principles.
- Practice system design problems, focusing on scalability, availability, and fault tolerance.
- Understand common software engineering best practices, including testing, CI/CD, and code reviews.
- Research General Motors' current technology initiatives and challenges in the automotive industry.
- Prepare to discuss your leadership experiences and how you've mentored other engineers.
- Practice 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 tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language. Review Big O notation for time and space complexity.","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Practice implementation and complexity analysis."}
- {"title":"System Design","longDescription":"Weeks 3-4: Dive into system design principles. Study topics like distributed systems, microservices, caching, databases (SQL vs. NoSQL), message queues, load balancing, and API design. Work through common system design case studies.","shortDescription":"Weeks 3-4: System Design principles. Focus on distributed systems, microservices, and scalability."}
- {"title":"Behavioral and Leadership","longDescription":"Weeks 5-6: Prepare for behavioral and leadership questions. Reflect on your past experiences and identify examples that demonstrate leadership, problem-solving, teamwork, and conflict resolution. Practice articulating these using the STAR method.","shortDescription":"Weeks 5-6: Behavioral and Leadership preparation. Practice STAR method with relevant examples."}
- {"title":"Company and Industry Research","longDescription":"Week 7: Research General Motors' business, products, and recent technological advancements. Understand the challenges and opportunities in the automotive software space. Prepare questions to ask the interviewers.","shortDescription":"Week 7: Company Research and question preparation. Focus on GM's tech and automotive industry."}

## Location differences

- {"location":"Detroit, MI","differences":{"tips":["Be prepared to discuss your experience with specific cloud providers (AWS, Azure, GCP) and their services.","Highlight projects where you demonstrated leadership and mentorship.","Emphasize your understanding of system design principles and trade-offs.","Research current trends in automotive software, such as connected car technology and autonomous driving systems."],"interviewFocus":["Deep understanding of distributed systems and cloud-native architectures.","Proven ability to lead complex projects and mentor junior engineers.","Strong problem-solving skills with a focus on scalability and performance.","Familiarity with automotive industry standards and challenges."],"commonQuestions":["How would you design a distributed caching system for a large-scale e-commerce platform?","Describe a challenging technical problem you solved recently and your approach.","How do you ensure the scalability and reliability of microservices?","What are your thoughts on the latest trends in cloud computing and their impact on automotive software development?","Discuss your experience with CI/CD pipelines and DevOps practices in a large enterprise environment."]}}
- {"location":"Austin, TX","differences":{"tips":["Be ready to dive deep into the technical details of your past projects.","Showcase your proficiency in object-oriented design and design patterns.","Prepare examples of how you've improved system performance and reliability.","Familiarize yourself with common automotive software architectures and protocols."],"interviewFocus":["Expertise in backend development, particularly with Java or C++.","Experience in building and maintaining large-scale, high-performance systems.","Ability to design and implement robust APIs and microservices.","Understanding of data management and analytics in the automotive context."],"commonQuestions":["Design an API gateway for a fleet management system.","How would you optimize database performance for a real-time analytics dashboard?","Explain the principles of event-driven architecture and its application in automotive systems.","What are your strategies for managing technical debt in a growing codebase?","Discuss your experience with containerization technologies like Docker and Kubernetes."]}}

## Round 1: Coding and Algorithms Round
**Type:** Technical - Coding · **Difficulty:** Medium · **Duration:** 45 min
Assess coding skills and fundamental CS knowledge with coding problems.
This round focuses on assessing your fundamental computer science knowledge and coding skills. You will be presented with one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate how you approach the problem, your ability to write clean and efficient code, and how well you communicate your thought process.
**Interviewers look for:** Logical thinking; Ability to translate requirements into code; Efficiency of the solution; Clarity of explanation
**Evaluation criteria:** Problem-solving approach; Understanding of data structures and algorithms; Coding proficiency; Communication of thought process
**Common rejection reasons:** Inability to articulate thought process clearly.; Lack of depth in understanding fundamental computer science concepts.; Poor problem-solving approach.; Not asking clarifying questions.
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to reverse a linked list.
- Find the kth smallest element in a binary search tree.

## Preparation tips

- Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
- Focus on understanding the time and space complexity of your solutions.
- Be prepared to explain your code line by line.
- Practice thinking out loud as you solve problems.

## Round 2: System Design Round
**Type:** System Design · **Difficulty:** Hard · **Duration:** 60 min
Assess system design and architectural skills with an open-ended problem.
This round evaluates your ability to design and architect complex software systems. You will be given an open-ended problem, such as designing a specific service or a large-scale system. The interviewer will assess your understanding of distributed systems, scalability, reliability, and your ability to make informed design decisions and articulate trade-offs.
**Interviewers look for:** Ability to design complex systems from scratch.; Understanding of distributed systems patterns.; Knowledge of databases, caching, and messaging systems.; Ability to justify design choices.
**Evaluation criteria:** System design principles; Scalability and performance considerations; Reliability and fault tolerance; Trade-off analysis; API design
**Common rejection reasons:** Lack of understanding of distributed system concepts.; Inability to design scalable and reliable systems.; Poor trade-off analysis.; Not considering edge cases and failure scenarios.
## Questions

- Design a distributed URL shortening service like Bitly.
- Design a system to handle real-time analytics for a streaming service.
- How would you design a notification system for millions of users?

## Preparation tips

- Study common system design patterns (e.g., microservices, event-driven architecture).
- Understand concepts like load balancing, caching, database sharding, and replication.
- Practice designing systems like Twitter feed, URL shortener, or a ride-sharing service.
- Be prepared to discuss trade-offs between different design choices.

## Round 3: Managerial and Behavioral Round
**Type:** Behavioral and Managerial · **Difficulty:** Medium · **Duration:** 45 min
Assess behavioral traits, leadership, and cultural fit with the hiring manager.
This round focuses on your behavioral and leadership qualities. The hiring manager will ask questions about your past experiences, focusing on how you've handled challenges, worked in teams, led projects, and demonstrated leadership. They will also assess your motivation for the role and your fit within the company culture.
**Interviewers look for:** Examples of taking initiative and ownership.; Ability to mentor and guide junior engineers.; Effective conflict resolution.; Positive attitude and cultural fit.
**Evaluation criteria:** Leadership and mentorship capabilities; Problem-solving and decision-making skills; Teamwork and collaboration; Communication and interpersonal skills; Alignment with company values
**Common rejection reasons:** Lack of leadership experience.; Inability to provide specific examples of impact.; Poor communication of past experiences.; Not demonstrating alignment with company values.
## Questions

- Tell me about a time you had to lead a project from start to finish. What were the challenges and how did you overcome them?
- Describe a situation where you had a conflict with a team member. How did you resolve it?
- How do you stay updated with the latest technologies and trends in software engineering?
- What are your strengths and weaknesses as a software engineer?

## Preparation tips

- Prepare specific examples using the STAR method for common behavioral questions.
- Think about situations where you demonstrated leadership, problem-solving, and teamwork.
- Be ready to discuss your career goals and why you are interested in this role at GM.
- Ask thoughtful questions about the team, projects, and company culture.

## Round 4: Executive Leadership Round
**Type:** Executive / Leadership · **Difficulty:** Hard · **Duration:** 60 min
Assess strategic thinking, leadership, and business acumen with a senior leader.
This final round is with a senior leader, often a Director or VP. It focuses on your strategic thinking, leadership potential, and understanding of how technology drives business value. You'll discuss your vision for the future of automotive software and how you can contribute to GM's long-term goals. This is also an opportunity for you to ask high-level questions about the company's direction.
**Interviewers look for:** High-level understanding of technology strategy.; Ability to align technical solutions with business goals.; Forward-thinking approach to challenges.; Potential to influence technical direction at a higher level.
**Evaluation criteria:** Strategic thinking and vision; Business acumen; Understanding of the automotive industry; Leadership and influence; Ability to drive innovation
**Common rejection reasons:** Lack of strategic thinking.; Inability to connect technical decisions to business impact.; Poor understanding of the automotive industry landscape.; Not demonstrating a vision for the future.
## Questions

- What do you see as the biggest technological challenges facing the automotive industry in the next 5-10 years, and how can software engineering address them?
- How would you foster a culture of innovation within a large engineering organization?
- Describe a time you influenced a major technical decision that had a significant business impact.

## Preparation tips

- Understand GM's business strategy and its position in the automotive market.
- Think about the future trends in automotive technology (e.g., EVs, autonomous driving, connectivity) and their software implications.
- Prepare to discuss how you would contribute to innovation and strategic technical decisions.
- Have questions ready that demonstrate your interest in the company's long-term vision.