Real, anonymous reports from people who interviewed for Software Engineer at Uber, newest first and distilled into what to expect across the loop.
I did a phone screen for a New Grad Software Engineer role at Uber. The recruiter call led pretty directly into a single technical question, and it felt very similar to a LeetCode-style problem—specifically “First Unique Number.” The whole screen centered on getting a correct, efficient approach and then walking through the reasoning clearly as I built the solution.
My Uber process for an SDE-II role included an in-person LLD round that felt more practical than the typical system-design style exercise. The prompt was to design Uber Black, and the emphasis was on cab allocation logic rather than drawing boxes and arrows.
The initial phone screen typically includes a single coding question, often resembling LeetCode-style problems, where candidates must demonstrate a clear and efficient approach to solving the problem. Candidates should prepare for algorithmic questions and be ready to explain their thought process clearly.
Candidates can expect multiple coding interviews that focus on data structures and algorithms (DSA), often with follow-up questions that require extending initial solutions. It's crucial to be prepared for both solving the problem and discussing optimizations and trade-offs.
For mid to senior-level roles, system design interviews are common and emphasize practical, low-level design rather than high-level architecture. Candidates should be ready to discuss real-world implementation details and the logic behind their designs.
Behavioral questions are integrated into the interview process, often at the beginning of technical interviews, to assess cultural fit and collaboration skills. Candidates should prepare to discuss past experiences and how they align with Uber's values.
The interview process can vary in length but often includes a series of technical rounds followed by a hiring manager conversation. Candidates should expect a structured timeline with clear communication throughout the process.
Candidates often report challenges with time management during coding assessments, where strict time limits can impact performance. Practicing pacing and managing time across multiple questions is essential for success.