BehavioralOnsiteSoftware Engineer, Machine Learning EngineerLast reported April 2026Low Frequency
Problem Overview
Rather than a traditional behavioral/story-based interview, the interviewer presents a hypothetical autonomous-driving-related scenario and asks the candidate how they would handle it and manage the relevant technical and organizational issues. The specific example reported involved discussing progress metrics for autonomous driving development.
Waymo Focus
**Common mistakes:** Preparing exclusively STAR/project stories for this round and being blindsided by the hypothetical scenario format; Underestimating this round as 'soft' — it was one of the rounds the candidate identified as a likely fail
**Why people fail:** Over-relying on rehearsed past project narratives instead of engaging flexibly with the hypothetical scenario; Feeling unprepared mid-interview and losing confidence
**Edge cases probed:** Candidate was asked to handle a scenario they had no direct past experience with, testing first-principles leadership thinking rather than recalled experience
**Alternative approaches:** STAR-based behavioral answers (Reported to be ineffective here — the format was hypothetical/scenario-based, not past-experience-based, so pre-prepared project stories did not map well.)
Waymo · Behavioral · Reported 1× across candidate reports