Scale Engineer

L7

Software EngineerSoftware Engineer 3Hard

This interview process is for a Software Engineer L7 position at General Motors, focusing on a Software Engineer 3 level.

Rounds·4

Timeline·~14d

Experience·7 - 10 yrs

Comp band·US$180000 - US$220000

Interview time·210 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant programming languages and technologies.
  • System design and architectural skills, including scalability, reliability, and maintainability.
  • Problem-solving abilities and analytical thinking.
  • Leadership potential and ability to mentor others.
  • Communication skills and ability to articulate complex technical concepts.
  • Cultural fit and alignment with GM's values.

Preparation

How to prepare.

Tips

  1. Thoroughly review your resume and be prepared to discuss every project in detail.
  2. Brush up on data structures, algorithms, and object-oriented design principles.
  3. Practice system design problems, focusing on scalability, availability, and fault tolerance.
  4. Understand common software engineering best practices, including testing, CI/CD, and code reviews.
  5. Research General Motors' current technology initiatives and challenges in the automotive industry.
  6. Prepare to discuss your leadership experiences and how you've mentored other engineers.
  7. Practice 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 implementation and complexity analysis.

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.

Questions

Commonly 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.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Detroit, MI

Interview focus

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.

Common questions

  • 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.

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.

Rounds

Round-by-round.

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

DSA

Coding questions at General Motors.

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