L6

Software EngineerSoftware Engineer 2Hard

This interview process is for a Software Engineer L6 position at General Motors, focusing on assessing candidates for a Software Engineer 2 level role. The process is designed to evaluate technical proficiency, problem-solving skills, system design capabilities, and cultural fit within the organization.

Rounds·4

Timeline·~14d

Experience·6 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·210 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant programming languages and frameworks.
  • Problem-solving approach and analytical skills.
  • System design and architectural thinking.
  • Communication and collaboration skills.
  • Leadership potential and mentorship abilities.
  • Cultural alignment with General Motors' values.

Preparation

How to prepare.

Tips

  1. Thoroughly review your resume and be prepared to discuss all projects and experiences in detail.
  2. Brush up on core computer science fundamentals, including data structures, algorithms, and operating systems.
  3. Practice coding problems, focusing on efficiency and clarity of solutions.
  4. Study system design principles and common architectural patterns.
  5. Prepare to discuss your leadership style and experience mentoring others.
  6. Research General Motors' mission, values, and recent technological advancements.
  7. Prepare questions to ask the interviewers about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (medium/hard).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, searching, dynamic programming, and greedy algorithms. Practice problems on platforms like LeetCode, HackerRank, and GeeksforGeeks, aiming for medium to hard difficulty.

Questions

Commonly asked.

  • Describe a challenging project you led from conception to completion.
  • How would you design a system to manage millions of connected vehicles and their data streams?
  • Tell me about a time you disagreed with a technical decision made by your team or manager. How did you handle it?
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you ensure the security and privacy of user data in a large-scale application?
  • Explain the concept of eventual consistency and when it might be appropriate.
  • Describe your experience with CI/CD pipelines and automated testing.
  • How do you approach debugging complex distributed systems?
  • What are your thoughts on the future of automotive software development?
  • Tell me about a time you failed. What did you learn from it?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Detroit, MI

Interview focus

Emphasis on practical application of distributed systems principles.Assessment of leadership potential and team collaboration.Understanding of automotive industry specific challenges and solutions.

Common questions

  • Describe a complex technical challenge you faced in a previous role and how you overcame it.
  • How do you approach designing a scalable microservices architecture for a new product?
  • Tell me about a time you had to mentor junior engineers. What was your approach?
  • What are your thoughts on the latest trends in cloud computing and how might they apply to automotive software?

Tips

  • Be prepared to discuss specific examples of large-scale system design and implementation.
  • Highlight any experience with automotive software development or related domains.
  • Showcase your ability to lead technical discussions and mentor team members.

Rounds

Round-by-round.

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

Hard

Technical Coding Interview · 60 min · Senior Software Engineer or Staff Engineer

This round focuses on assessing your core programming skills and problem-solving abilities. You will be presented with one or two coding challenges, typically involving data structures and algorithms. The interviewer will evaluate your approach to understanding the problem, devising a solution, writing clean and efficient code, and testing it thoroughly. Expect to discuss time and space complexity, as well as potential optimizations.

What they look for

Strong grasp of data structures and algorithms.Ability to translate a problem into efficient code.Clear communication of problem-solving strategy.Attention to detail and edge case handling.

Evaluation

  • Correctness of the algorithm.
  • Efficiency of the solution (time and space complexity).
  • Code clarity, readability, and maintainability.
  • Ability to handle edge cases and constraints.
  • Communication of the thought process.

Sample questions

  • Given a binary tree, invert the tree.

    TreeRecursionBinary Tree
  • Find the kth largest element in an unsorted array.

    ArraySortingHeapQuickSelect
  • Implement a function to determine if a string is a valid palindrome, considering only alphanumeric characters and ignoring cases.

    StringTwo PointersPalindrome

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  2. 02Focus on understanding the underlying data structures and algorithms.
  3. 03Practice explaining your thought process out loud as you code.
  4. 04Be prepared to discuss trade-offs between different approaches.
  5. 05Ensure your code is well-formatted and readable.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of depth in understanding fundamental algorithms.
  • ×Inefficient or incorrect coding solutions.
  • ×Poor handling of edge cases.

DSA

Coding questions at General Motors.

Frequently reported on General Motors loops

Other guides

More at General Motors.