Uber | Software Engineer | Interview Experience
Interview Date: Not specified
Result: Not specified
Difficulty: Not specified
Interview Process
The interview began with a tech phone screen where I was presented with the Robot Grid Distance Challenge. The interviewer provided an overview of the problem: determining the shortest path for a robot moving from the top-left corner to the bottom-right corner of a grid with some blocked cells. I was asked to explain my thought process before coding.
I discussed possible representations of the grid and different algorithms to solve the shortest path problem, such as BFS (Breadth-First Search) or Dijkstra’s algorithm. After clarifying the requirements and edge cases, I implemented a BFS approach in Python, ensuring that each cell was visited only once for optimal runtime.
The interviewer asked follow-up questions regarding potential optimizations and alternative approaches, leading to a discussion on the trade-offs between time complexity and space complexity. Overall, I felt confident in articulating my thoughts during the interview.
Technical Questions
- Robot Grid Distance Challenge (BFS, Graph)
Tips & Insights
- Be prepared to discuss various algorithms and their trade-offs.
- Clearly articulate your thought process and approach to problem-solving.