Software Engineer

Software EngineerLead Software EngineerHard

Applied Intuition is seeking a Lead Software Engineer to drive technical excellence, mentor junior engineers, and contribute to the design and implementation of our cutting-edge autonomous vehicle software. This role requires a strong foundation in software development principles, a proven track record of leading complex projects, and a passion for solving challenging problems in a fast-paced environment.

Rounds·4

Timeline·~14d

Experience·6 - 10 yrs

Comp band·US$170000 - US$220000

Interview time·195 min

Evaluation

What they measure.

  • Technical depth and breadth
  • Problem-solving skills
  • System design and architecture capabilities
  • Leadership potential and mentorship skills
  • Communication and collaboration abilities
  • Cultural fit and alignment with company values

Preparation

How to prepare.

Tips

  1. Review core computer science fundamentals (data structures, algorithms, operating systems, databases).
  2. Brush up on system design principles and common architectural patterns.
  3. Prepare to discuss your past projects in detail, focusing on your contributions and challenges.
  4. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Applied Intuition's products and mission to understand our business context.
  6. Familiarize yourself with common programming languages and technologies relevant to our stack (e.g., C++, Python, ROS, cloud platforms).

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (LeetCode Medium/Hard).

Weeks 1-2: Focus on Data Structures and Algorithms. Review common data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, graph traversal, dynamic programming). Practice solving problems on platforms like LeetCode, focusing on medium to hard difficulty.

Questions

Commonly asked.

  • Design a system for real-time traffic monitoring.
  • How would you optimize a slow-performing API?
  • Describe a challenging technical problem you solved as a lead engineer.
  • How do you mentor and grow junior engineers on your team?
  • What are your strategies for ensuring code quality and maintainability?
  • Tell me about a time you had to make a difficult trade-off in a system design.
  • How do you handle disagreements within a technical team?
  • What are your thoughts on continuous integration and continuous deployment (CI/CD)?
  • Describe your experience with cloud infrastructure and services.
  • How do you approach debugging a distributed system?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

San Francisco Bay Area

Interview focus

System design and architectureLeadership and mentorshipProblem-solving and debugging complex systemsCommunication and collaboration

Common questions

  • How would you handle a situation where a critical system component fails in production?
  • Describe a time you had to influence a team to adopt a new technology or process.
  • What are your strategies for ensuring code quality and maintainability in a large codebase?
  • How do you approach debugging complex distributed systems?
  • Tell me about a challenging technical decision you made and its outcome.

Tips

  • Be prepared to discuss your experience with cloud platforms (AWS, GCP, Azure).
  • Highlight instances where you've mentored or led a team.
  • Emphasize your understanding of distributed systems and microservices.
  • Showcase your ability to think critically and articulate your thought process.

Rounds

Round-by-round.

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

DSA

Coding questions at Applied Intuition.

Frequently reported on Applied Intuition loops

Other guides

More at Applied Intuition.