I applied through a recruiter.

The interview focused on core computer vision and perception topics relevant to autonomous systems. I was asked to walk through recent projects, especially those involving sensor fusion, object detection, and tracking. The interviewer dove deep into my understanding of perception pipelines — from raw sensor data to final outputs. There were also follow-up questions about algorithm choices, real-time constraints, and how I handled edge cases. It was a mix of technical depth and practical application, with an emphasis on reasoning through design tradeoffs. The tone was conversational and respectful — overall, the interview was fine and gave me a fair chance to showcase my experience.

How would you handle multi-object tracking in a crowded urban environment using data from both LiDAR and camera?